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arxiv:1602.02261 | End-to-End Goal-Driven Web Navigation | https://arxiv.org/abs/1602.02261 | paper | [] | [
"Rodrigo Nogueira",
"Kyunghyun Cho"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"67f8697c21dabc2c4781eba46bfb60671506b413471efcdb28864c11649b3a2c","submitted_at":"2016-02-06T14:53:02Z","updated_at":"2016-05-20T16:26:58Z","version":2,"versioned_url":"https://arxiv.org/abs/1602.02261v2"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-17T07:57:26Z","role":"primary","sha256":"3e89566cdb4521a8b3b0d99c514c3401645eda5b5c0de9720eb726b1ffe0a11f","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1511.03745%2C... | {
"arxiv": "1602.02261",
"doi": null,
"preferred_arxiv": null
} | 2026-10-17T09:11:46Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/1602.02261"}] | Reviewed against the exact-version official arXiv abstract page; its normalized abstract SHA-256 matches the retained bibliographic snapshot. | 2016-02-06 | [] | curated | core | Introduces WebNav for converting websites into goal-directed hyperlink navigation tasks and WikiNav for evaluating language-conditioned navigation and question answering on Wikipedia. | [
"R04.01.02.04"
] | [
"web-navigation",
"evaluation",
"planning"
] | 2016-05-20 | null |
arxiv:1802.08802 | Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration | https://arxiv.org/abs/1802.08802 | paper | [] | [
"Evan Zheran Liu",
"Kelvin Guu",
"Panupong Pasupat",
"Tianlin Shi",
"Percy Liang"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"75d19fa97ce85a93bb9665a8ae06607bc0b90fde1c8376cdd60e99b55e90729c","submitted_at":"2018-02-24T05:32:47Z","updated_at":"2018-02-24T05:32:47Z","version":1,"versioned_url":"https://arxiv.org/abs/1802.08802v1"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "1802.08802",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/1802.08802"}] | The annotation and scope were reviewed against the primary paper abstract. | 2018-02-24 | [] | curated | core | Uses workflows extracted from demonstrations to constrain reinforcement-learning exploration for interactive web tasks. | [
"R04.01.02.04"
] | [
"reinforcement-learning",
"workflow"
] | 2018-02-24 | null |
arxiv:1808.09132 | Mapping Natural Language Commands to Web Elements | https://arxiv.org/abs/1808.09132 | paper | [] | [
"Panupong Pasupat",
"Tian-Shun Jiang",
"Evan Zheran Liu",
"Kelvin Guu",
"Percy Liang"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"f368116f70e987cde111835a05b5b36e0d345dabb4e8351610e2bbfb691b3440","submitted_at":"2018-08-28T06:09:39Z","updated_at":"2018-10-01T03:22:58Z","version":2,"versioned_url":"https://arxiv.org/abs/1808.09132v2"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "1808.09132",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/1808.09132"}] | The annotation and scope were reviewed against the primary paper abstract. | 2018-08-28 | [] | curated | core | Defines language grounding on webpages as choosing the UI element targeted by a natural-language command. A collection of more than 50,000 commands and three baseline models study functional references, relationships between elements, and visual position cues. | [
"R04.01.02.04"
] | [
"grounding",
"data-generation",
"evaluation"
] | 2018-10-01 | null |
arxiv:1812.09195 | Learning to Navigate the Web | https://arxiv.org/abs/1812.09195 | paper | [] | [
"Izzeddin Gur",
"Ulrich Rueckert",
"Aleksandra Faust",
"Dilek Hakkani-Tur"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"5d8be69f732a853a091815e4f5c3a26778f955287feca28d3810a1f72d46c57f","submitted_at":"2018-12-21T15:32:59Z","updated_at":"2018-12-21T15:32:59Z","version":1,"versioned_url":"https://arxiv.org/abs/1812.09195v1"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-11-05T21:13:36Z","role":"primary","sha256":"4490f8d57c320dc1cce6bf3818c7bae7a4d86cab96ab3a1c924160b63c251995","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1103.0086%2C1... | {
"arxiv": "1812.09195",
"doi": null,
"preferred_arxiv": null
} | 2026-11-05T23:00:11Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/1812.09195"}] | The annotation and scope were reviewed against the complete retained arXiv abstract (v1). The reported generalization evaluation uses the World of Bits benchmark. | 2018-12-21 | [] | curated | core | Introduces guided RL for QWeb, using a curriculum of smaller instructions and generated tasks to train an agent that follows instructions and fills forms on web pages. | [
"R04.01.02.04"
] | [
"reinforcement-learning",
"planning",
"web-navigation"
] | 2018-12-21 | null |
arxiv:1812.11470 | A Systematic Literature Review of Automated Techniques for Functional GUI Testing of Mobile Applications | https://arxiv.org/abs/1812.11470 | survey | [] | [
"Yauhen Leanidavich Arnatovich",
"Lipo Wang"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"0ab3b4d24531b6567c27eeafdecb42537ff79eaf2784c3dfd758e62ced3719c0","submitted_at":"2018-12-30T04:50:20Z","updated_at":"2018-12-30T04:50:20Z","version":1,"versioned_url":"https://arxiv.org/abs/1812.11470v1"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-11-05T21:13:36Z","role":"primary","sha256":"4490f8d57c320dc1cce6bf3818c7bae7a4d86cab96ab3a1c924160b63c251995","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1103.0086%2C1... | {
"arxiv": "1812.11470",
"doi": null,
"preferred_arxiv": null
} | 2026-11-05T23:00:11Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/1812.11470"}] | The annotation and scope were reviewed against the complete retained arXiv abstract (v1). | 2018-12-30 | [] | curated | adjacent | Surveys automated functional GUI testing techniques for mobile apps, comparing the effectiveness, efficiency and practicality of approaches reported in 25 studies. | [
"R02.07.01.02"
] | [
"survey",
"automation",
"evaluation"
] | 2018-12-30 | null |
arxiv:1902.07257 | DOM-Q-NET: Grounded RL on Structured Language | https://arxiv.org/abs/1902.07257 | paper | [] | [
"Sheng Jia",
"Jamie Kiros",
"Jimmy Ba"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"cbb9df92fcb1f933538a100fe4c3c98d4c2b2ead234dcc033c0a426d197457b3","submitted_at":"2019-02-19T19:54:15Z","updated_at":"2019-02-19T19:54:15Z","version":1,"versioned_url":"https://arxiv.org/abs/1902.07257v1"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-11-05T21:13:36Z","role":"primary","sha256":"4490f8d57c320dc1cce6bf3818c7bae7a4d86cab96ab3a1c924160b63c251995","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1103.0086%2C1... | {
"arxiv": "1902.07257",
"doi": null,
"preferred_arxiv": null
} | 2026-11-05T23:00:16Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/1902.07257"}] | The annotation and scope were reviewed against the complete retained arXiv abstract (v1). Evaluation is reported on the MiniWoB environment. | 2019-02-19 | [] | curated | core | Introduces DOM-Q-NET, an RL architecture for web navigation that represents HTML as a tree and uses separate Q-function networks for clicking elements and typing text. | [
"R04.01.02.04"
] | [
"reinforcement-learning",
"web-navigation",
"screen-understanding"
] | 2019-02-19 | null |
arxiv:1909.00031 | Interactive Task and Concept Learning from Natural Language Instructions and GUI Demonstrations | https://arxiv.org/abs/1909.00031 | paper | [] | [
"Toby Jia-Jun Li",
"Marissa Radensky",
"Justin Jia",
"Kirielle Singarajah",
"Tom M. Mitchell",
"Brad A. Myers"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"4cef465f53abcbaad50c83f24e0ce54fb7f23390955e9f7e5592ec0b8287839e","submitted_at":"2019-08-30T18:35:01Z","updated_at":"2020-01-07T00:57:53Z","version":2,"versioned_url":"https://arxiv.org/abs/1909.00031v2"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-17T07:57:26Z","role":"primary","sha256":"3e89566cdb4521a8b3b0d99c514c3401645eda5b5c0de9720eb726b1ffe0a11f","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1511.03745%2C... | {
"arxiv": "1909.00031",
"doi": null,
"preferred_arxiv": null
} | 2026-10-17T09:11:46Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/1909.00031"}] | Reviewed against the exact-version official arXiv abstract page; its normalized abstract SHA-256 matches the retained bibliographic snapshot. | 2019-08-30 | [] | curated | core | Introduces PUMICE, an agent that learns mobile-app procedures and conditional concepts through natural-language conversation and GUI demonstrations, recursively resolving ambiguous instructions with users. | [
"R11.07.01.01"
] | [
"human-in-the-loop",
"mobile-navigation",
"imitation-learning"
] | 2020-01-07 | null |
arxiv:2005.03776 | Mapping Natural Language Instructions to Mobile UI Action Sequences | https://arxiv.org/abs/2005.03776 | paper | [] | [
"Yang Li",
"Jiacong He",
"Xin Zhou",
"Yuan Zhang",
"Jason Baldridge"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"3af7b45455ffbd616e8cdf5612b19275ecb7bf07b1065af9f5b724ae19e96fb4","submitted_at":"2020-05-07T21:41:40Z","updated_at":"2020-06-05T02:11:56Z","version":2,"versioned_url":"https://arxiv.org/abs/2005.03776v2"},"publication":{... | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2005.03776",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2005.03776"},{"rel":"publication","url":"https://aclanthology.org/2020.acl-main.729/"},{"rel":"publication_pdf","url":"https://aclanthology.org/2020.acl-main.729.pdf"}] | The annotation and scope were reviewed against the primary paper abstract. | 2020-05-07 | [] | curated | core | Introduces PIXELHELP for predicting mobile UI action sequences from instructions, together with action-phrase annotations and synthetic UI action descriptions for training. Separate Transformers extract instruction steps and ground object descriptions using interface content and screen position. | [
"R01.11.01.01"
] | [
"mobile-navigation",
"grounding",
"data-generation",
"action-prediction"
] | 2020-06-05 | null |
arxiv:2007.13257 | From Robotic Process Automation to Intelligent Process Automation: Emerging Trends | https://arxiv.org/abs/2007.13257 | survey | [] | [
"Tathagata Chakraborti",
"Vatche Isahagian",
"Rania Khalaf",
"Yasaman Khazaeni",
"Vinod Muthusamy",
"Yara Rizk",
"Merve Unuvar"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"e43a58c6fa46b6d8a83555a51a9057e066da4f0cec8fe7bc8d78c22200eb3bcd","submitted_at":"2020-07-27T00:43:08Z","updated_at":"2020-07-27T00:43:08Z","version":1,"versioned_url":"https://arxiv.org/abs/2007.13257v1"},"publication":{... | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-11-09T08:05:55Z","role":"primary","sha256":"d84811c1901af5997f748274c6f6ccf434c29ab0e3b7e2baf722cb7faac12cb6","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2311.08649%2C... | {
"arxiv": "2007.13257",
"doi": null,
"preferred_arxiv": null
} | 2026-11-09T08:07:58Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2007.13257"},{"rel":"publication","url":"https://link.springer.com/chapter/10.1007/978-3-030-58779-6_15"}] | Intelligent process automation is presented as an extension of robotic process automation at the intersection of AI and business processes. The arXiv preprint was written for the BPM 2020 RPA Forum. | 2020-07-27 | [] | curated | adjacent | A survey of robotic and intelligent process automation traces the use of machine learning and AI in business workflows and identifies open research challenges. | null | [
"survey",
"automation",
"workflow",
"industry"
] | 2020-07-27 | null |
arxiv:2008.05132 | Object Detection for Graphical User Interface: Old Fashioned or Deep Learning or a Combination? | https://arxiv.org/abs/2008.05132 | paper | [] | [
"Jieshan Chen",
"Mulong Xie",
"Zhenchang Xing",
"Chunyang Chen",
"Xiwei Xu",
"Liming Zhu",
"Guoqiang Li"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"d6352985532945fd562ce0382aef0e977ce1ec5909b6872e5fe048167e9732a0","submitted_at":"2020-08-12T06:36:33Z","updated_at":"2020-09-07T12:57:33Z","version":2,"versioned_url":"https://arxiv.org/abs/2008.05132v2"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:42:42Z","role":"primary","sha256":"d1c1bc3fee56d124427abd2aabbcf876418633a8adf7a03f4ef0317cba6a42ae","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2008.05132%2C... | {
"arxiv": "2008.05132",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:42:42Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2008.05132"}] | The annotation and scope were reviewed against the primary paper abstract. | 2020-08-12 | [] | curated | core | Compares seven traditional and learned GUI element detectors on more than 50,000 interface images. The analysis motivates a coarse-to-fine non-text detector combined with a learned text detector to address GUI-specific localization requirements. | [
"R02.07.01.02"
] | [
"grounding",
"screen-understanding",
"evaluation"
] | 2020-09-07 | null |
arxiv:2010.04295 | Widget Captioning: Generating Natural Language Description for Mobile User Interface Elements | https://arxiv.org/abs/2010.04295 | paper | [] | [
"Yang Li",
"Gang Li",
"Luheng He",
"Jingjie Zheng",
"Hong Li",
"Zhiwei Guan"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"68af0a0a4b605d0c968e8913232fde16e3eadf6361099e8fc3d015dcdb26302b","submitted_at":"2020-10-08T22:56:03Z","updated_at":"2020-10-08T22:56:03Z","version":1,"versioned_url":"https://arxiv.org/abs/2010.04295v1"},"publication":{... | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:42:42Z","role":"primary","sha256":"d1c1bc3fee56d124427abd2aabbcf876418633a8adf7a03f4ef0317cba6a42ae","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2008.05132%2C... | {
"arxiv": "2010.04295",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:42:42Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2010.04295"},{"rel":"publication","url":"https://aclanthology.org/2020.emnlp-main.443/"},{"rel":"publication_pdf","url":"https://aclanthology.org/2020.emnlp-main.443.pdf"}] | The annotation and scope were reviewed against the primary paper abstract. | 2020-10-08 | [] | curated | core | Introduces crowdsourced descriptions of mobile UI elements and studies multimodal models that generate useful widget captions. | [
"R02.07.01.02"
] | [
"screen-understanding",
"grounding"
] | 2020-10-08 | null |
arxiv:2012.12350 | ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces | https://arxiv.org/abs/2012.12350 | paper | [] | [
"Zecheng He",
"Srinivas Sunkara",
"Xiaoxue Zang",
"Ying Xu",
"Lijuan Liu",
"Nevan Wichers",
"Gabriel Schubiner",
"Ruby Lee",
"Jindong Chen",
"Blaise Agüera y Arcas"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"51fdddb9a3d8a6090875719a51b22008b1f43bc38c6cfe1713a49a52f7e8434c","submitted_at":"2020-12-22T20:49:52Z","updated_at":"2021-01-25T20:37:39Z","version":2,"versioned_url":"https://arxiv.org/abs/2012.12350v2"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-17T07:57:26Z","role":"primary","sha256":"3e89566cdb4521a8b3b0d99c514c3401645eda5b5c0de9720eb726b1ffe0a11f","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1511.03745%2C... | {
"arxiv": "2012.12350",
"doi": null,
"preferred_arxiv": null
} | 2026-10-17T09:11:47Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2012.12350"}] | Reviewed against the exact-version official arXiv abstract page; its normalized abstract SHA-256 matches the retained bibliographic snapshot. | 2020-12-22 | [] | curated | core | Pretrains ActionBert on user interaction traces to combine visual, linguistic, and UI-structure features. It evaluates the resulting UI representations on tasks including icon classification and description-based component retrieval. | [
"R04.04.01.01"
] | [
"screen-understanding",
"grounding",
"action-prediction"
] | 2021-01-25 | null |
arxiv:2101.04893 | Screen Recognition: Creating Accessibility Metadata for Mobile Applications from Pixels | https://arxiv.org/abs/2101.04893 | paper | [] | [
"Xiaoyi Zhang",
"Lilian de Greef",
"Amanda Swearngin",
"Samuel White",
"Kyle Murray",
"Lisa Yu",
"Qi Shan",
"Jeffrey Nichols",
"Jason Wu",
"Chris Fleizach",
"Aaron Everitt",
"Jeffrey P. Bigham"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"d6a5305254ea405b6297c0a3eee43d58fc028abaa1a538d03b175b39b9daccca","submitted_at":"2021-01-13T05:56:15Z","updated_at":"2021-01-13T05:56:15Z","version":1,"versioned_url":"https://arxiv.org/abs/2101.04893v1"}} | [
"ios"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:42:42Z","role":"primary","sha256":"d1c1bc3fee56d124427abd2aabbcf876418633a8adf7a03f4ef0317cba6a42ae","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2008.05132%2C... | {
"arxiv": "2101.04893",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:42:42Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2101.04893"}] | The annotation and scope were reviewed against the primary paper abstract. | 2021-01-13 | [] | curated | adjacent | Infers UI elements and accessibility metadata from mobile screenshots to support screen-reader interaction with iOS applications. | [
"R01.09.01.02"
] | [
"screen-understanding"
] | 2021-01-13 | null |
arxiv:2101.09465 | WebSRC: A Dataset for Web-Based Structural Reading Comprehension | https://arxiv.org/abs/2101.09465 | paper | [] | [
"Xingyu Chen",
"Zihan Zhao",
"Lu Chen",
"Danyang Zhang",
"Jiabao Ji",
"Ao Luo",
"Yuxuan Xiong",
"Kai Yu"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"5fdf4bc31edd633fd0858835db0afedeef5dbc2694c4511903976c338bd19b1b","submitted_at":"2021-01-23T09:43:44Z","updated_at":"2021-11-08T08:31:44Z","version":2,"versioned_url":"https://arxiv.org/abs/2101.09465v2"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2101.09465",
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} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2101.09465"}] | The annotation and scope were reviewed against the primary paper abstract. | 2021-01-23 | [] | curated | core | Introduces question answering over webpage text and structure, with aligned HTML, screenshots, and metadata for structural reading comprehension. | [
"R04.01.02.04"
] | [
"screen-understanding",
"evaluation"
] | 2021-11-08 | null |
arxiv:2103.16057 | Grounding Open-Domain Instructions to Automate Web Support Tasks | https://arxiv.org/abs/2103.16057 | paper | [] | [
"Nancy Xu",
"Sam Masling",
"Michael Du",
"Giovanni Campagna",
"Larry Heck",
"James Landay",
"Monica S Lam"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"e00b8f1b34097455ece2cf97efabbb64f398e3fffdec13394f731096672dc654","submitted_at":"2021-03-30T04:02:34Z","updated_at":"2021-04-04T23:51:14Z","version":2,"versioned_url":"https://arxiv.org/abs/2103.16057v2"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2103.16057",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2103.16057"}] | The annotation and scope were reviewed against the primary paper abstract. | 2021-03-30 | [] | curated | core | Introduces RUSS, which translates support instructions into a domain-specific language and grounds them in actionable web elements. | [
"R04.01.02.04"
] | [
"grounding",
"web-navigation"
] | 2021-04-04 | null |
arxiv:2104.08560 | Mobile App Tasks with Iterative Feedback (MoTIF): Addressing Task Feasibility in Interactive Visual Environments | https://arxiv.org/abs/2104.08560 | paper | [] | [
"Andrea Burns",
"Deniz Arsan",
"Sanjna Agrawal",
"Ranjitha Kumar",
"Kate Saenko",
"Bryan A. Plummer"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"da0efe4e827a9d5ac3a662b6d4a792bf6573eb596c61b72c3227cd556ff6afb7","submitted_at":"2021-04-17T14:48:02Z","updated_at":"2021-04-17T14:48:02Z","version":1,"versioned_url":"https://arxiv.org/abs/2104.08560v1"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2104.08560",
"doi": null,
"preferred_arxiv": null
} | 2026-11-05T23:00:23Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2104.08560"}] | The annotation and scope were reviewed against the complete retained arXiv abstract (v1). | 2021-04-17 | [] | curated | core | Introduces MoTIF, a dataset of natural-language requests for interactive mobile apps, including infeasible requests and follow-up questions for studying task feasibility. | [
"R11.07.01.01"
] | [
"data-generation",
"evaluation",
"human-in-the-loop"
] | 2021-04-17 | null |
arxiv:2105.11941 | Understanding Mobile GUI: from Pixel-Words to Screen-Sentences | https://arxiv.org/abs/2105.11941 | paper | [] | [
"Jingwen Fu",
"Xiaoyi Zhang",
"Yuwang Wang",
"Wenjun Zeng",
"Sam Yang",
"Grayson Hilliard"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"8788e419d1a901f8ad9dd6089a12fe129baee764b1c285bbeb4ea60d7046afa2","submitted_at":"2021-05-25T13:45:54Z","updated_at":"2022-04-14T11:00:58Z","version":2,"versioned_url":"https://arxiv.org/abs/2105.11941v2"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-17T07:57:26Z","role":"primary","sha256":"3e89566cdb4521a8b3b0d99c514c3401645eda5b5c0de9720eb726b1ffe0a11f","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1511.03745%2C... | {
"arxiv": "2105.11941",
"doi": null,
"preferred_arxiv": null
} | 2026-10-17T09:11:47Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2105.11941"}] | Reviewed against the exact-version official arXiv abstract page; its normalized abstract SHA-256 matches the retained bibliographic snapshot. | 2021-05-25 | [] | curated | core | Models mobile screens as atomic text and graphic components whose relationships are learned by a Screen Transformer. The work introduces RICO-PW annotations and evaluates metadata-free screen understanding on relation, clickability, retrieval, and app-classification tasks. | [
"R02.07.01.02"
] | [
"screen-understanding",
"grounding",
"data-generation"
] | 2022-04-14 | null |
arxiv:2105.13231 | AndroidEnv: A Reinforcement Learning Platform for Android | https://arxiv.org/abs/2105.13231 | paper | [] | [
"Daniel Toyama",
"Philippe Hamel",
"Anita Gergely",
"Gheorghe Comanici",
"Amelia Glaese",
"Zafarali Ahmed",
"Tyler Jackson",
"Shibl Mourad",
"Doina Precup"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"7f0caf694223bc2569cdd01662cadf54cbc96cad370866a231c15437c5d5d0ba","submitted_at":"2021-05-27T15:20:14Z","updated_at":"2021-05-27T15:20:14Z","version":1,"versioned_url":"https://arxiv.org/abs/2105.13231v1"}} | [
"android"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2105.13231",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2105.13231"}] | The annotation and scope were reviewed against the primary paper abstract. | 2021-05-27 | [] | curated | core | Presents an Android environment for training and evaluating reinforcement-learning agents through touchscreen interaction. | [
"R01.11.01.01"
] | [
"reinforcement-learning",
"sandbox"
] | 2021-05-27 | null |
arxiv:2106.00133 | AppBuddy: Learning to Accomplish Tasks in Mobile Apps via Reinforcement Learning | https://arxiv.org/abs/2106.00133 | paper | [] | [
"Maayan Shvo",
"Zhiming Hu",
"Rodrigo Toro Icarte",
"Iqbal Mohomed",
"Allan Jepson",
"Sheila A. McIlraith"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"861f231a3751fa1346e81a1fc1c3d7450f5739b730bed77d9d4834b53d0ee561","submitted_at":"2021-05-31T23:02:38Z","updated_at":"2021-06-06T17:56:58Z","version":2,"versioned_url":"https://arxiv.org/abs/2106.00133v2"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-11-05T21:13:36Z","role":"primary","sha256":"4490f8d57c320dc1cce6bf3818c7bae7a4d86cab96ab3a1c924160b63c251995","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1103.0086%2C1... | {
"arxiv": "2106.00133",
"doi": null,
"preferred_arxiv": null
} | 2026-11-05T23:00:23Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2106.00133"}] | The annotation and scope were reviewed against the complete retained arXiv abstract (v2). The abstract reports experiments on a number of mobile apps and describes cross-app generalization as modest. | 2021-05-31 | [] | curated | core | Introduces AppBuddy, an RL training platform and task suite for mobile apps where agents use on-screen element states and tap or type to complete multi-step tasks. | [
"R01.11.01.01"
] | [
"reinforcement-learning",
"mobile-navigation",
"sandbox",
"long-horizon"
] | 2021-06-06 | null |
arxiv:2107.13731 | UIBert: Learning Generic Multimodal Representations for UI Understanding | https://arxiv.org/abs/2107.13731 | paper | [] | [
"Chongyang Bai",
"Xiaoxue Zang",
"Ying Xu",
"Srinivas Sunkara",
"Abhinav Rastogi",
"Jindong Chen",
"Blaise Aguera y Arcas"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"8a4f582015ccaf5bbe9be4b7ab925b2bbf6bd8451a4e63d89e1fe38363e26b31","submitted_at":"2021-07-29T03:51:36Z","updated_at":"2021-08-10T08:55:21Z","version":2,"versioned_url":"https://arxiv.org/abs/2107.13731v2"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2107.13731",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2107.13731"}] | The annotation and scope were reviewed against the primary paper abstract. | 2021-07-29 | [] | curated | core | Learns shared image, text, and structural UI representations through self-supervised tasks based on relationships among interface components. | [
"R04.04.01.01"
] | [
"screen-understanding"
] | 2021-08-10 | null |
arxiv:2108.03353 | Screen2Words: Automatic Mobile UI Summarization with Multimodal Learning | https://arxiv.org/abs/2108.03353 | paper | [] | [
"Bryan Wang",
"Gang Li",
"Xin Zhou",
"Zhourong Chen",
"Tovi Grossman",
"Yang Li"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"9cf8d8521e643e1a888e706dff4e5106f178061d9af4ed2c2ba5ae42f194785a","submitted_at":"2021-08-07T03:01:23Z","updated_at":"2021-08-07T03:01:23Z","version":1,"versioned_url":"https://arxiv.org/abs/2108.03353v1"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2108.03353",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2108.03353"}] | The annotation and scope were reviewed against the primary paper abstract. | 2021-08-07 | [] | curated | core | Studies mobile-screen summarization using visual, textual, and structural UI information, with a dataset of human-written descriptions. | [
"R02.07.01.02"
] | [
"screen-understanding"
] | 2021-08-07 | null |
arxiv:2112.05692 | VUT: Versatile UI Transformer for Multi-Modal Multi-Task User Interface Modeling | https://arxiv.org/abs/2112.05692 | paper | [] | [
"Yang Li",
"Gang Li",
"Xin Zhou",
"Mostafa Dehghani",
"Alexey Gritsenko"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"6e88e6e2659df232174d9fc71a2fac61a021941f096355f8ea3cd4c618c223d3","submitted_at":"2021-12-10T17:37:26Z","updated_at":"2021-12-10T17:37:26Z","version":1,"versioned_url":"https://arxiv.org/abs/2112.05692v1"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:42:42Z","role":"primary","sha256":"d1c1bc3fee56d124427abd2aabbcf876418633a8adf7a03f4ef0317cba6a42ae","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2008.05132%2C... | {
"arxiv": "2112.05692",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:42:42Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2112.05692"}] | The annotation and scope were reviewed against the primary paper abstract. | 2021-12-10 | [] | curated | core | The Versatile UI Transformer jointly models interface screenshots, structure, and language for five UI tasks. Its encoder supports element detection when structural metadata is absent, while an autoregressive component handles UI question answering and command grounding. | [
"R02.07.01.02"
] | [
"screen-understanding",
"grounding",
"efficiency"
] | 2021-12-10 | null |
arxiv:2112.09332 | WebGPT: Browser-assisted question-answering with human feedback | https://arxiv.org/abs/2112.09332 | paper | [] | [
"Reiichiro Nakano",
"Jacob Hilton",
"Suchir Balaji",
"Jeff Wu",
"Long Ouyang",
"Christina Kim",
"Christopher Hesse",
"Shantanu Jain",
"Vineet Kosaraju",
"William Saunders",
"Xu Jiang",
"Karl Cobbe",
"Tyna Eloundou",
"Gretchen Krueger",
"Kevin Button",
"Matthew Knight",
"Benjamin Ches... | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"8a9122bd2c771071f93250e9e330b1f923f1e50c0d829cc3144be43c6b575195","submitted_at":"2021-12-17T05:43:43Z","updated_at":"2022-06-01T19:08:11Z","version":3,"versioned_url":"https://arxiv.org/abs/2112.09332v3"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-18T11:04:43Z","role":"primary","sha256":"0901e063a911164dd291042946a9a0bc63b53d61da59666259c34fb2560e17e0","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1610.08401%2C... | {
"arxiv": "2112.09332",
"doi": null,
"preferred_arxiv": null
} | 2026-11-05T23:00:23Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2112.09332"}] | The annotation and scope were reviewed against the complete retained arXiv abstract (v3). The browser interaction serves long-form question answering, evaluated on ELI5. | 2021-12-17 | [] | curated | adjacent | Trains a question-answering model to search and navigate a text-based web browser, collect references and improve long-form answers using demonstrations and human feedback. | [
"R11.07.01.01"
] | [
"web-navigation",
"imitation-learning",
"human-in-the-loop",
"reward-models"
] | 2022-06-01 | null |
arxiv:2201.04100 | Learning to Denoise Raw Mobile UI Layouts for Improving Datasets at Scale | https://arxiv.org/abs/2201.04100 | paper | [] | [
"Gang Li",
"Gilles Baechler",
"Manuel Tragut",
"Yang Li"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"d971ee06cafd46fe27a01d40bc16e3604e1d153c38ee92be970328d9935b0708","submitted_at":"2022-01-11T17:52:40Z","updated_at":"2022-01-13T17:53:31Z","version":2,"versioned_url":"https://arxiv.org/abs/2201.04100v2"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-17T07:57:26Z","role":"primary","sha256":"3e89566cdb4521a8b3b0d99c514c3401645eda5b5c0de9720eb726b1ffe0a11f","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1511.03745%2C... | {
"arxiv": "2201.04100",
"doi": null,
"preferred_arxiv": null
} | 2026-10-17T09:11:47Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2201.04100"}] | Reviewed against the exact-version official arXiv abstract page; its normalized abstract SHA-256 matches the retained bibliographic snapshot. | 2022-01-11 | [] | curated | core | Introduces CLAY, a pipeline that repairs noisy mobile UI layouts by removing nodes without valid visual counterparts and assigning semantic element types, supported by human-annotated layouts for evaluation. | [
"R05.05.01.01"
] | [
"screen-understanding",
"data-generation"
] | 2022-01-13 | null |
arxiv:2202.02312 | A Dataset for Interactive Vision-Language Navigation with Unknown Command Feasibility | https://arxiv.org/abs/2202.02312 | paper | [] | [
"Andrea Burns",
"Deniz Arsan",
"Sanjna Agrawal",
"Ranjitha Kumar",
"Kate Saenko",
"Bryan A. Plummer"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"1687369e31b0ad3632381d4a46b1d555c2e2ed1d6504e9c1b63006dd29f3445e","submitted_at":"2022-02-04T18:51:50Z","updated_at":"2022-08-15T00:24:24Z","version":3,"versioned_url":"https://arxiv.org/abs/2202.02312v3"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2202.02312",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2202.02312"}] | The annotation and scope were reviewed against the primary paper abstract. | 2022-02-04 | [] | curated | core | Introduces MoTIF mobile-app interactions with feasible and infeasible commands, feasibility explanations, and follow-up questions for ambiguous requests. | [
"R11.07.01.01"
] | [
"mobile-navigation",
"human-in-the-loop",
"evaluation"
] | 2022-08-15 | null |
arxiv:2202.08137 | A data-driven approach for learning to control computers | https://arxiv.org/abs/2202.08137 | paper | [] | [
"Peter C Humphreys",
"David Raposo",
"Toby Pohlen",
"Gregory Thornton",
"Rachita Chhaparia",
"Alistair Muldal",
"Josh Abramson",
"Petko Georgiev",
"Alex Goldin",
"Adam Santoro",
"Timothy Lillicrap"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"94129847ac85f4a8aeab74907cc68a31c435b078ab950695d9328b6c3896b46d","submitted_at":"2022-02-16T15:23:46Z","updated_at":"2022-11-11T13:45:44Z","version":2,"versioned_url":"https://arxiv.org/abs/2202.08137v2"},"publication":{... | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2202.08137",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2202.08137"},{"rel":"publication","url":"https://proceedings.mlr.press/v162/humphreys22a.html"},{"rel":"publication_pdf","url":"https://proceedings.mlr.press/v162/humphreys22a/humphreys22a.pdf"}] | The annotation and scope were reviewed against the primary paper abstract. | 2022-02-16 | [] | curated | core | Combines reinforcement learning with behavioral priors from human interactions to learn computer control through keyboard and mouse actions. | [
"R04.01.02.04"
] | [
"reinforcement-learning",
"automation"
] | 2022-11-11 | null |
arxiv:2205.11029 | META-GUI: Towards Multi-modal Conversational Agents on Mobile GUI | https://arxiv.org/abs/2205.11029 | paper | [] | [
"Liangtai Sun",
"Xingyu Chen",
"Lu Chen",
"Tianle Dai",
"Zichen Zhu",
"Kai Yu"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"fbe2a4ece7ef72dfa008740991a5c46d9ab4b9de73f3de02f5dabcee2a5c1aa5","submitted_at":"2022-05-23T04:05:37Z","updated_at":"2022-11-24T06:34:43Z","version":2,"versioned_url":"https://arxiv.org/abs/2205.11029v2"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2205.11029",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2205.11029"}] | The annotation and scope were reviewed against the primary paper abstract. | 2022-05-23 | [] | curated | core | Introduces GUI-based task-oriented dialogue and a dataset pairing mobile-interface operations with conversational responses. | [
"R11.07.01.01"
] | [
"mobile-navigation",
"human-in-the-loop"
] | 2022-11-24 | null |
arxiv:2207.01206 | WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents | https://arxiv.org/abs/2207.01206 | paper | [] | [
"Shunyu Yao",
"Howard Chen",
"John Yang",
"Karthik Narasimhan"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"6de4ab2a89875f1ccd99bbaa075c234d82979e845f27fe9530bdad0539c49570","submitted_at":"2022-07-04T05:30:22Z","updated_at":"2023-02-08T01:39:30Z","version":4,"versioned_url":"https://arxiv.org/abs/2207.01206v4"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2207.01206",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2207.01206"}] | The annotation and scope were reviewed against the primary paper abstract. | 2022-07-04 | [] | curated | core | Provides a simulated shopping environment where language agents search, configure, and select products from natural-language requirements. | [
"R12.01.01.02"
] | [
"evaluation",
"web-navigation"
] | 2023-02-08 | null |
arxiv:2208.06032 | CORNET: Learning Table Formatting Rules By Example | https://arxiv.org/abs/2208.06032 | paper | [] | [
"Mukul Singh",
"José Cambronero",
"Sumit Gulwani",
"Vu Le",
"Carina Negreanu",
"Mohammad Raza",
"Gust Verbruggen"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"5afa77bf018aa741e03ccf27d11059657beaceba93d3a2172b57c0917b7304ee","submitted_at":"2022-08-11T20:30:12Z","updated_at":"2022-12-05T13:01:00Z","version":4,"versioned_url":"https://arxiv.org/abs/2208.06032v4"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-17T07:57:26Z","role":"primary","sha256":"3e89566cdb4521a8b3b0d99c514c3401645eda5b5c0de9720eb726b1ffe0a11f","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1511.03745%2C... | {
"arxiv": "2208.06032",
"doi": null,
"preferred_arxiv": null
} | 2026-11-05T23:00:28Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2208.06032"}] | The annotation and scope were reviewed against the complete retained arXiv abstract (v4). | 2022-08-11 | [] | curated | adjacent | Introduces CORNET, a system that learns spreadsheet conditional-formatting rules from cells formatted by users, using symbolic rule enumeration and a neural ranker. | [
"R04.03.01.04"
] | [
"automation",
"imitation-learning"
] | 2022-12-05 | null |
arxiv:2209.08199 | ScreenQA: Large-Scale Question-Answer Pairs over Mobile App Screenshots | https://arxiv.org/abs/2209.08199 | paper | [] | [
"Yu-Chung Hsiao",
"Fedir Zubach",
"Gilles Baechler",
"Srinivas Sunkara",
"Victor Carbune",
"Jason Lin",
"Maria Wang",
"Yun Zhu",
"Jindong Chen"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"37f7ba5d5b9bbc96fd3a723e49190f296e08d2874dcd545272d3fcef3cc33d24","submitted_at":"2022-09-16T23:49:00Z","updated_at":"2025-02-09T21:09:17Z","version":4,"versioned_url":"https://arxiv.org/abs/2209.08199v4"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2209.08199",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2209.08199"}] | The annotation and scope were reviewed against the primary paper abstract. | 2022-09-16 | [] | curated | core | Introduces screenshot question answering over mobile interfaces, linking answers to screen content and bounding boxes. | [
"R02.07.01.02"
] | [
"screen-understanding",
"evaluation"
] | 2025-02-09 | null |
arxiv:2209.08655 | Enabling Conversational Interaction with Mobile UI using Large Language Models | https://arxiv.org/abs/2209.08655 | paper | [] | [
"Bryan Wang",
"Gang Li",
"Yang Li"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"65813c1784ba00e354aff4e38796b1bdc8e9b691cba9dd56b8232b5d86555d1b","submitted_at":"2022-09-18T20:58:39Z","updated_at":"2023-02-17T21:24:09Z","version":2,"versioned_url":"https://arxiv.org/abs/2209.08655v2"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2209.08655",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2209.08655"}] | Reviewed against the retained original arXiv abstract. | 2022-09-18 | [] | curated | core | Studies few-shot prompting of a single language model for four mobile-UI interaction tasks, aiming to support conversational interface use without a separate trained model for each task. | [
"R01.11.01.01"
] | [
"mobile-navigation",
"screen-understanding",
"training-free"
] | 2023-02-17 | null |
arxiv:2209.14927 | Spotlight: Mobile UI Understanding using Vision-Language Models with a Focus | https://arxiv.org/abs/2209.14927 | paper | [] | [
"Gang Li",
"Yang Li"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"eaa351e34fa6bdcbe26aa6714eacda1f667411090abfdd5575735605dc89e864","submitted_at":"2022-09-29T16:45:43Z","updated_at":"2023-02-24T01:41:32Z","version":4,"versioned_url":"https://arxiv.org/abs/2209.14927v4"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2209.14927",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2209.14927"}] | Reviewed against the retained original arXiv abstract. | 2022-09-29 | [] | curated | core | Introduces Spotlight, a vision-language model conditioned on a UI screenshot and a selected region of interest. It evaluates screenshot-based mobile UI understanding and explores multitask learning and few-shot prompting. | [
"R02.07.01.02"
] | [
"screen-understanding",
"grounding"
] | 2023-02-24 | null |
arxiv:2209.15099 | MUG: Interactive Multimodal Grounding on User Interfaces | https://arxiv.org/abs/2209.15099 | paper | [] | [
"Tao Li",
"Gang Li",
"Jingjie Zheng",
"Purple Wang",
"Yang Li"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"15e57e7dd30e6f3ae8b13cbd4a190b39339f2bbf7a551a6a5df5190dc62b5434","submitted_at":"2022-09-29T21:08:18Z","updated_at":"2022-09-29T21:08:18Z","version":1,"versioned_url":"https://arxiv.org/abs/2209.15099v1"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2209.15099",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2209.15099"}] | The annotation and scope were reviewed against the primary paper abstract. | 2022-09-29 | [] | curated | core | Studies iterative UI grounding in which users refine or correct an agent's interpretation over multiple conversational turns. | [
"R05.05.01.01",
"R11.07.01.01"
] | [
"grounding",
"human-in-the-loop"
] | 2022-09-29 | null |
arxiv:2210.02663 | Towards Better Semantic Understanding of Mobile Interfaces | https://arxiv.org/abs/2210.02663 | paper | [] | [
"Srinivas Sunkara",
"Maria Wang",
"Lijuan Liu",
"Gilles Baechler",
"Yu-Chung Hsiao",
"Jindong",
"Chen",
"Abhanshu Sharma",
"James Stout"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"24d037f1abeb7708852ac5517ce02cc46622e359d9feab407f188c0657cc72f4","submitted_at":"2022-10-06T03:48:54Z","updated_at":"2022-10-06T03:48:54Z","version":1,"versioned_url":"https://arxiv.org/abs/2210.02663v1"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2210.02663",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2210.02663"}] | Reviewed against the retained original arXiv abstract. | 2022-10-06 | [] | curated | core | Augments RICO screens and view hierarchies with human labels for icon shape and meaning and for links between UI elements and text labels. It compares image-only and multimodal models on semantic understanding of previously unseen apps. | [
"R02.07.01.02"
] | [
"screen-understanding",
"grounding",
"data-generation"
] | 2022-10-06 | null |
arxiv:2210.03347 | Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding | https://arxiv.org/abs/2210.03347 | paper | [] | [
"Kenton Lee",
"Mandar Joshi",
"Iulia Turc",
"Hexiang Hu",
"Fangyu Liu",
"Julian Eisenschlos",
"Urvashi Khandelwal",
"Peter Shaw",
"Ming-Wei Chang",
"Kristina Toutanova"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"7ebb243c4690aba5f1a92b0d1e050399560998a7f304ea483dae2f451cf51ec0","submitted_at":"2022-10-07T06:42:06Z","updated_at":"2023-06-15T21:34:23Z","version":2,"versioned_url":"https://arxiv.org/abs/2210.03347v2"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-18T04:21:52Z","role":"primary","sha256":"c194d15b7e422aae48b4e05216a1f1d84471b6666718b9d3dd4c9d250c356e77","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2210.03347%2C... | {
"arxiv": "2210.03347",
"doi": null,
"preferred_arxiv": null
} | 2026-10-18T04:21:52Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2210.03347"}] | Reviewed against the complete official arXiv abstract. Adjacent visual-language pretraining: webpage screenshot parsing and explicit UI evaluation support interface understanding. | 2022-10-07 | [] | curated | adjacent | Pix2Struct pretrains an image-to-text model by reconstructing simplified HTML from masked webpage screenshots. Its variable-resolution visual representation is evaluated across several domains, including user-interface understanding. | [
"R04.04.01.01"
] | [
"screen-understanding",
"data-generation"
] | 2023-06-15 | null |
arxiv:2210.03629 | ReAct: Synergizing Reasoning and Acting in Language Models | https://arxiv.org/abs/2210.03629 | paper | [] | [
"Shunyu Yao",
"Jeffrey Zhao",
"Dian Yu",
"Nan Du",
"Izhak Shafran",
"Karthik Narasimhan",
"Yuan Cao"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"d54d4d76519ed21b2bfeedd94901a9bb559802e0c0bde7e09fb1e0a8bcdb3679","submitted_at":"2022-10-06T01:00:32Z","updated_at":"2023-03-10T01:00:17Z","version":3,"versioned_url":"https://arxiv.org/abs/2210.03629v3"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2210.03629",
"doi": null,
"preferred_arxiv": null
} | 2026-11-05T23:00:28Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2210.03629"}] | The annotation and scope were reviewed against the complete retained arXiv abstract (v3). WebShop is one of several evaluation tasks, alongside question answering, fact verification and ALFWorld. | 2022-10-06 | [] | curated | adjacent | Introduces ReAct, a method that interleaves reasoning traces and actions for language-model agents; WebShop is one of its interactive decision-making evaluations. | [
"R12.01.01.02"
] | [
"planning",
"training-free",
"evaluation"
] | 2023-03-10 | null |
arxiv:2210.03945 | Understanding HTML with Large Language Models | https://arxiv.org/abs/2210.03945 | paper | [] | [
"Izzeddin Gur",
"Ofir Nachum",
"Yingjie Miao",
"Mustafa Safdari",
"Austin Huang",
"Aakanksha Chowdhery",
"Sharan Narang",
"Noah Fiedel",
"Aleksandra Faust"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"9b9089164b5c784735d8915596fe902840e01c8215f507caed0e10d4361d13ec","submitted_at":"2022-10-08T07:27:17Z","updated_at":"2023-05-19T17:42:56Z","version":2,"versioned_url":"https://arxiv.org/abs/2210.03945v2"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2210.03945",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2210.03945"}] | The annotation and scope were reviewed against the complete retained original arXiv abstract. | 2022-10-08 | [] | curated | core | Studies language models for HTML element classification, page description and autonomous web navigation. Fine-tuned models are evaluated on MiniWoB, and a distilled, automatically labeled CommonCrawl HTML corpus supports the training approach. | [
"R04.01.02.04"
] | [
"screen-understanding",
"web-navigation",
"data-generation"
] | 2023-05-19 | null |
arxiv:2211.07615 | UGIF: UI Grounded Instruction Following | https://arxiv.org/abs/2211.07615 | paper | [] | [
"Sagar Gubbi Venkatesh",
"Partha Talukdar",
"Srini Narayanan"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"52319819402cec76a69c0bb513f3a7000053208ddd9d2a8c675e055422402fbe","submitted_at":"2022-11-14T18:36:19Z","updated_at":"2023-05-23T16:08:10Z","version":2,"versioned_url":"https://arxiv.org/abs/2211.07615v2"},"publication":{... | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2211.07615",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2211.07615"},{"rel":"publication","url":"https://aclanthology.org/2024.findings-naacl.89/"},{"rel":"publication_pdf","url":"https://aclanthology.org/2024.findings-naacl.89.pdf"}] | The annotation and scope were reviewed against the primary paper abstract. | 2022-11-14 | [] | curated | core | Introduces multilingual smartphone instruction-following data and a pipeline that retrieves help instructions and maps them to UI actions. | [
"R01.11.01.01"
] | [
"mobile-navigation",
"grounding"
] | 2023-05-23 | null |
arxiv:2212.04732 | Fill in the Blank: Context-aware Automated Text Input Generation for Mobile GUI Testing | https://arxiv.org/abs/2212.04732 | paper | [] | [
"Zhe Liu",
"Chunyang Chen",
"Junjie Wang",
"Xing Che",
"Yuekai Huang",
"Jun Hu",
"Qing Wang"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"b147719291128e86cbdb279ef6d0cc2bea6660d9cc0efb3277bd160dacbadd37","submitted_at":"2022-12-09T09:00:38Z","updated_at":"2022-12-09T09:00:38Z","version":1,"versioned_url":"https://arxiv.org/abs/2212.04732v1"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-11-05T21:13:36Z","role":"primary","sha256":"4490f8d57c320dc1cce6bf3818c7bae7a4d86cab96ab3a1c924160b63c251995","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1103.0086%2C1... | {
"arxiv": "2212.04732",
"doi": null,
"preferred_arxiv": null
} | 2026-11-05T23:00:32Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2212.04732"}] | The annotation and scope were reviewed against the complete retained arXiv abstract (v1). The reported evaluation covers 106 apps from Google Play. | 2022-12-09 | [] | curated | core | Introduces QTypist, an LLM-based method that generates text inputs from mobile GUI context and integrates with automated testing tools to help them reach further app pages. | [
"R02.07.01.02"
] | [
"data-generation",
"automation",
"screen-understanding"
] | 2022-12-09 | null |
arxiv:2301.10165 | Lexi: Self-Supervised Learning of the UI Language | https://arxiv.org/abs/2301.10165 | paper | [] | [
"Pratyay Banerjee",
"Shweti Mahajan",
"Kushal Arora",
"Chitta Baral",
"Oriana Riva"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"bb647a96c7f8263786e85a5061c8c5284cb92ed0b2ebc4c405e1243b2ca3fa2b","submitted_at":"2023-01-23T09:05:49Z","updated_at":"2023-01-23T09:05:49Z","version":1,"versioned_url":"https://arxiv.org/abs/2301.10165v1"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2301.10165",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2301.10165"}] | Reviewed against the retained original arXiv abstract. | 2023-01-23 | [] | curated | core | Introduces Lexi and UICaption to learn UI image-text representations from descriptions of interface functionality. Evaluation covers UI action entailment, instruction-based retrieval, referring-expression grounding, and UI entity recognition. | [
"R04.04.01.01"
] | [
"screen-understanding",
"grounding",
"data-generation"
] | 2023-01-23 | null |
arxiv:2301.13280 | WebUI: A Dataset for Enhancing Visual UI Understanding with Web Semantics | https://arxiv.org/abs/2301.13280 | paper | [] | [
"Jason Wu",
"Siyan Wang",
"Siman Shen",
"Yi-Hao Peng",
"Jeffrey Nichols",
"Jeffrey P. Bigham"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"0cc3b91aa85bc8c7d88a878c7b24926943eea0bcc92e25f517915242f2a82a39","submitted_at":"2023-01-30T20:47:12Z","updated_at":"2023-01-30T20:47:12Z","version":1,"versioned_url":"https://arxiv.org/abs/2301.13280v1"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2301.13280",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2301.13280"}] | The annotation and scope were reviewed against the primary paper abstract. | 2023-01-30 | [] | curated | core | Collects rendered webpages and structural metadata for visual UI modeling, studying how web semantics transfer to interface-understanding tasks. | [
"R04.01.02.04"
] | [
"screen-understanding",
"data-generation"
] | 2023-01-30 | null |
arxiv:2301.13779 | FLAME: A small language model for spreadsheet formulas | https://arxiv.org/abs/2301.13779 | paper | [] | [
"Harshit Joshi",
"Abishai Ebenezer",
"José Cambronero",
"Sumit Gulwani",
"Aditya Kanade",
"Vu Le",
"Ivan Radiček",
"Gust Verbruggen"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"ff6e0dbc7f7ba22430915cac58358a3afe5c6167beecfca06acdf3f8b0f15859","submitted_at":"2023-01-31T17:29:43Z","updated_at":"2023-12-19T22:56:39Z","version":2,"versioned_url":"https://arxiv.org/abs/2301.13779v2"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-17T07:57:26Z","role":"primary","sha256":"3e89566cdb4521a8b3b0d99c514c3401645eda5b5c0de9720eb726b1ffe0a11f","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1511.03745%2C... | {
"arxiv": "2301.13779",
"doi": null,
"preferred_arxiv": null
} | 2026-11-05T23:00:32Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2301.13779"}] | The annotation and scope were reviewed against the complete retained arXiv abstract (v2). | 2023-01-31 | [] | curated | adjacent | Introduces FLAME, a model trained on Excel formulas for spreadsheet formula repair, completion and retrieval, supporting formula authoring in spreadsheet software. | [
"R04.03.01.01"
] | [
"automation",
"data-generation"
] | 2023-12-19 | null |
arxiv:2303.17491 | Language Models can Solve Computer Tasks | https://arxiv.org/abs/2303.17491 | paper | [] | [
"Geunwoo Kim",
"Pierre Baldi",
"Stephen McAleer"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"8f36bd6088175b337b750d91d0b7c04d2c156742e5c4090a74f00a482157e386","submitted_at":"2023-03-30T16:01:52Z","updated_at":"2023-11-16T20:15:14Z","version":3,"versioned_url":"https://arxiv.org/abs/2303.17491v3"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2303.17491",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2303.17491"}] | Reviewed against the retained original arXiv abstract. | 2023-03-30 | [] | curated | core | Introduces recursive criticism and improvement prompting for language-model agents performing computer tasks, evaluated on MiniWoB++ with a small number of demonstrations per task. | [
"R04.01.02.04"
] | [
"web-navigation",
"self-reflection",
"training-free"
] | 2023-11-16 | null |
arxiv:2304.07061 | DroidBot-GPT: GPT-powered UI Automation for Android | https://arxiv.org/abs/2304.07061 | paper | [] | [
"Hao Wen",
"Hongming Wang",
"Jiaxuan Liu",
"Yuanchun Li"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"420c9005fd0c687c27c758da70ef05a60b3b2d9b9efbf91a5d7661bf893a8b09","submitted_at":"2023-04-14T11:31:56Z","updated_at":"2024-01-07T08:23:47Z","version":5,"versioned_url":"https://arxiv.org/abs/2304.07061v5"}} | [
"android"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2304.07061",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2304.07061"}] | The annotation and scope were reviewed against the primary paper abstract. | 2023-04-14 | [] | curated | core | Transforms Android UI states and available actions into language prompts for an LLM to choose and execute task steps. | [
"R01.11.01.01"
] | [
"mobile-navigation",
"automation"
] | 2024-01-07 | null |
arxiv:2305.08144 | Mobile-Env: Building Qualified Evaluation Benchmarks for LLM-GUI Interaction | https://arxiv.org/abs/2305.08144 | paper | [] | [
"Danyang Zhang",
"Zhennan Shen",
"Rui Xie",
"Situo Zhang",
"Tianbao Xie",
"Zihan Zhao",
"Siyuan Chen",
"Lu Chen",
"Hongshen Xu",
"Ruisheng Cao",
"Kai Yu"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"8e454f547bdf8e01f47eb63c20f0cacfa8bd17a8c4ad37dfd3a1cceb732de178","submitted_at":"2023-05-14T12:31:03Z","updated_at":"2024-06-13T11:51:37Z","version":4,"versioned_url":"https://arxiv.org/abs/2305.08144v4"}} | [
"android"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2305.08144",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2305.08144"}] | The annotation and scope were reviewed against the primary paper abstract. | 2023-05-14 | [] | curated | core | Provides an Android benchmark toolkit with controlled environments, intermediate feedback, and task sets for reproducible GUI-agent evaluation. | [
"R01.11.01.01"
] | [
"evaluation",
"sandbox"
] | 2024-06-13 | null |
arxiv:2305.09699 | Mobile User Interface Element Detection Via Adaptively Prompt Tuning | https://arxiv.org/abs/2305.09699 | paper | [] | [
"Zhangxuan Gu",
"Zhuoer Xu",
"Haoxing Chen",
"Jun Lan",
"Changhua Meng",
"Weiqiang Wang"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"cbd23cad847d29812a6adca85eedfafb4a55bb33395d6e9907e34b8cd1218745","submitted_at":"2023-05-16T07:16:36Z","updated_at":"2023-05-16T07:16:36Z","version":1,"versioned_url":"https://arxiv.org/abs/2305.09699v1"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-17T07:57:30Z","role":"primary","sha256":"4856a9c146f74964be623730f3cee6b15fcaad83f7d83a4956e971b541a63070","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2304.08479%2C... | {
"arxiv": "2305.09699",
"doi": null,
"preferred_arxiv": null
} | 2026-11-05T23:00:39Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2305.09699"}] | The annotation and scope were reviewed against the complete retained arXiv abstract (v1). | 2023-05-16 | [] | curated | core | Introduces MUI-zh and APT for detecting mobile UI elements, combining visual features with OCR descriptions to adjust category prompts in CLIP-based detectors. | [
"R02.07.01.02"
] | [
"screen-understanding",
"data-generation",
"evaluation"
] | 2023-05-16 | null |
arxiv:2305.11854 | Multimodal Web Navigation with Instruction-Finetuned Foundation Models | https://arxiv.org/abs/2305.11854 | paper | [] | [
"Hiroki Furuta",
"Kuang-Huei Lee",
"Ofir Nachum",
"Yutaka Matsuo",
"Aleksandra Faust",
"Shixiang Shane Gu",
"Izzeddin Gur"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"ac0ea5a462890317ea29ade32c879d016181afbe5962e2d28cc175e251df41e6","submitted_at":"2023-05-19T17:44:34Z","updated_at":"2024-02-25T16:21:00Z","version":4,"versioned_url":"https://arxiv.org/abs/2305.11854v4"},"publication":{... | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2305.11854",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2305.11854"},{"rel":"publication","url":"https://proceedings.iclr.cc/paper_files/paper/2024/hash/7ef7d8359036afd8c2378d82c21058a4-Abstract-Conference.html"},{"rel":"publication_pdf","url":"https://proceedings.iclr.cc/paper_files/paper/2024/file/7ef7d8359036afd8c2378d82c210... | Reviewed against the retained original arXiv abstract. | 2023-05-19 | [] | curated | core | Trains WebGUM offline from demonstrations by jointly tuning an instruction-following language model and a vision encoder over webpage screenshots and HTML. The agent predicts browser actions and is evaluated on MiniWoB, WebShop, and Mind2Web. | [
"R12.01.01.02"
] | [
"web-navigation",
"imitation-learning",
"action-prediction"
] | 2024-02-25 | null |
arxiv:2305.14257 | Hierarchical Prompting Assists Large Language Model on Web Navigation | https://arxiv.org/abs/2305.14257 | paper | [] | [
"Abishek Sridhar",
"Robert Lo",
"Frank F. Xu",
"Hao Zhu",
"Shuyan Zhou"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"896d5f5e9248e2e49da254fb383f84e5b6ce4286b6d30a37ed7944fcfa1f4958","submitted_at":"2023-05-23T17:10:39Z","updated_at":"2023-10-30T00:55:53Z","version":3,"versioned_url":"https://arxiv.org/abs/2305.14257v3"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2305.14257",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2305.14257"}] | Reviewed against the retained original arXiv abstract. | 2023-05-23 | [] | curated | core | Separates web navigation prompting into a SUMMARIZER that extracts action-relevant observations and an ACTOR that chooses the next action from the condensed context. | [
"R04.01.02.04"
] | [
"web-navigation",
"planning",
"efficiency"
] | 2023-10-30 | null |
arxiv:2305.16653 | AdaPlanner: Adaptive Planning from Feedback with Language Models | https://arxiv.org/abs/2305.16653 | paper | [] | [
"Haotian Sun",
"Yuchen Zhuang",
"Lingkai Kong",
"Bo Dai",
"Chao Zhang"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"c254a26ebb8e1bcdca70b7581c780aa6b0dd4e5f5ded85e456f7e8fb8b38fcc6","submitted_at":"2023-05-26T05:52:27Z","updated_at":"2023-05-26T05:52:27Z","version":1,"versioned_url":"https://arxiv.org/abs/2305.16653v1"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2305.16653",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2305.16653"}] | The annotation and scope were reviewed against the complete retained original arXiv abstract. This is a general planning framework; MiniWoB++ supplies the interface-agent evidence, while ALFWorld is a separate environment. | 2023-05-26 | [] | curated | adjacent | Introduces AdaPlanner, which revises code-structured plans in response to environmental feedback and reuses successful plans as exemplars. Experiments include MiniWoB++ web tasks alongside ALFWorld. | [
"R04.01.02.04"
] | [
"planning",
"self-reflection",
"evaluation"
] | 2023-05-26 | null |
arxiv:2305.19308 | SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models | https://arxiv.org/abs/2305.19308 | paper | [] | [
"Hongxin Li",
"Jingran Su",
"Yuntao Chen",
"Qing Li",
"Zhaoxiang Zhang"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"320ff40872677e9d32efae360dc289ca345076e037e7044188868f765e816008","submitted_at":"2023-05-30T17:59:30Z","updated_at":"2023-10-30T06:36:24Z","version":2,"versioned_url":"https://arxiv.org/abs/2305.19308v2"}} | [
"desktop",
"windows"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2305.19308",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2305.19308"}] | The contribution was reviewed from the retained paper abstract. The separately retained project README identifies the original Windows/Excel implementation; the Ubuntu evaluator is later. | 2023-05-30 | [] | curated | core | Introduces SheetCopilot, an agent that steers spreadsheet software via atomic virtual APIs, along with a 221-task spreadsheet manipulation benchmark. | [
"R04.03.01.01",
"R11.07.01.01",
"R12.01.01.02"
] | [
"workflow",
"tool-integration",
"evaluation"
] | 2023-10-30 | null |
arxiv:2306.00245 | From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces | https://arxiv.org/abs/2306.00245 | paper | [] | [
"Peter Shaw",
"Mandar Joshi",
"James Cohan",
"Jonathan Berant",
"Panupong Pasupat",
"Hexiang Hu",
"Urvashi Khandelwal",
"Kenton Lee",
"Kristina Toutanova"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"d06f7480695f45546b62b5b8c3d8c174ca52936e158d46e626689d0918711417","submitted_at":"2023-05-31T23:39:18Z","updated_at":"2023-12-06T23:46:36Z","version":2,"versioned_url":"https://arxiv.org/abs/2306.00245v2"},"publication":{... | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2306.00245",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2306.00245"},{"rel":"publication","url":"https://papers.nips.cc/paper_files/paper/2023/hash/6c52a8a4fadc9129c6e1d1745f2dfd0f-Abstract-Conference.html"},{"rel":"publication_pdf","url":"https://proceedings.neurips.cc/paper_files/paper/2023/file/6c52a8a4fadc9129c6e1d1745f2dfd... | Reviewed against the retained original arXiv abstract. | 2023-05-31 | [] | curated | core | Studies instruction-following agents that observe screenshots and act through a generic mouse-and-keyboard action space, evaluating pixel-based pretraining for GUI tasks on MiniWoB++. | [
"R04.01.02.04"
] | [
"grounding",
"action-prediction",
"web-navigation"
] | 2023-12-06 | null |
arxiv:2306.01242 | Responsible Task Automation: Empowering Large Language Models as Responsible Task Automators | https://arxiv.org/abs/2306.01242 | paper | [] | [
"Zhizheng Zhang",
"Xiaoyi Zhang",
"Wenxuan Xie",
"Yan Lu"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"631a39d2929c68bb93a7f95af22c17d2ab208668fd97d9082fe0601a73d123dd","submitted_at":"2023-06-02T02:42:58Z","updated_at":"2023-12-04T13:36:59Z","version":2,"versioned_url":"https://arxiv.org/abs/2306.01242v2"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:42:42Z","role":"primary","sha256":"d1c1bc3fee56d124427abd2aabbcf876418633a8adf7a03f4ef0317cba6a42ae","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2008.05132%2C... | {
"arxiv": "2306.01242",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:42:42Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2306.01242"}] | The annotation and scope were reviewed against the complete retained original arXiv abstract. UI task automation is stated in the abstract. | 2023-06-02 | [] | curated | adjacent | Presents ResponsibleTA, a coordinator-executor framework that checks command feasibility and task completion while using local memory for privacy-related controls. The paper compares prompted and learned implementations and evaluates them on UI task automation. | [
"R01.05.02.01"
] | [
"safety-security",
"evaluation",
"automation"
] | 2023-12-04 | null |
arxiv:2306.01987 | Prompting Is All You Need: Automated Android Bug Replay with Large Language Models | https://arxiv.org/abs/2306.01987 | paper | [] | [
"Sidong Feng",
"Chunyang Chen"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"1b3cdeb55d958fa8c4cae655eddcad36f26f7e9cca20f67395da444ca9d9f6d3","submitted_at":"2023-06-03T03:03:52Z","updated_at":"2024-05-08T07:36:56Z","version":3,"versioned_url":"https://arxiv.org/abs/2306.01987v3"}} | [
"android"
] | [{"method":"arxiv_api","retrieved_at":"2026-11-05T21:13:36Z","role":"primary","sha256":"4490f8d57c320dc1cce6bf3818c7bae7a4d86cab96ab3a1c924160b63c251995","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1103.0086%2C1... | {
"arxiv": "2306.01987",
"doi": null,
"preferred_arxiv": null
} | 2026-11-05T23:00:39Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2306.01987"}] | The annotation and scope were reviewed against the complete retained arXiv abstract (v3). | 2023-06-03 | [] | curated | core | Introduces AdbGPT, a prompting-based approach that uses LLMs to replay app bugs from written reports, applying few-shot examples and reasoning without model training. | [
"R02.07.01.01"
] | [
"automation",
"training-free",
"mobile-navigation"
] | 2024-05-08 | null |
arxiv:2306.06070 | Mind2Web: Towards a Generalist Agent for the Web | https://arxiv.org/abs/2306.06070 | paper | [] | [
"Xiang Deng",
"Yu Gu",
"Boyuan Zheng",
"Shijie Chen",
"Samuel Stevens",
"Boshi Wang",
"Huan Sun",
"Yu Su"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"de055dfa452130f3576839c99c007053c62a0c96c9bfbcdd79ecad1a9f74f830","submitted_at":"2023-06-09T17:44:31Z","updated_at":"2023-12-09T05:57:46Z","version":3,"versioned_url":"https://arxiv.org/abs/2306.06070v3"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2306.06070",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2306.06070"}] | Editorial summary based on the primary paper abstract. | 2023-06-09 | [] | curated | core | Introduces a web-task dataset spanning diverse websites and evaluates generalization to unseen sites and domains. | [
"R04.01.02.04"
] | [
"data-generation",
"web-navigation",
"evaluation"
] | 2023-12-09 | null |
arxiv:2306.07863 | Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control | https://arxiv.org/abs/2306.07863 | paper | [] | [
"Longtao Zheng",
"Rundong Wang",
"Xinrun Wang",
"Bo An"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"8fdb5fed2b2fa0ecbf5910dd6813d8de7910af286a1e4e00cdebb734a82e78b0","submitted_at":"2023-06-13T15:49:41Z","updated_at":"2024-01-19T06:59:26Z","version":3,"versioned_url":"https://arxiv.org/abs/2306.07863v3"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2306.07863",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2306.07863"}] | The annotation and scope were reviewed against the primary paper abstract. | 2023-06-13 | [] | curated | core | Synapse filters task-irrelevant page state and places complete abstracted state-action trajectories into the prompt. An embedding-based exemplar memory retrieves relevant demonstrations for new tasks, evaluated on MiniWoB++ and Mind2Web. | [
"R04.01.02.04"
] | [
"memory",
"web-navigation",
"planning",
"efficiency"
] | 2024-01-19 | null |
arxiv:2307.10088 | Android in the Wild: A Large-Scale Dataset for Android Device Control | https://arxiv.org/abs/2307.10088 | paper | [] | [
"Christopher Rawles",
"Alice Li",
"Daniel Rodriguez",
"Oriana Riva",
"Timothy Lillicrap"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"def4616f7cb13fe839e500c4b3171eafbe37b155b5d14301137806d6a5cde939","submitted_at":"2023-07-19T15:57:24Z","updated_at":"2023-10-27T14:24:31Z","version":2,"versioned_url":"https://arxiv.org/abs/2307.10088v2"},"publication":{... | [
"android"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2307.10088",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2307.10088"},{"rel":"publication","url":"https://proceedings.neurips.cc/paper_files/paper/2023/hash/bbbb6308b402fe909c39dd29950c32e0-Abstract-Datasets_and_Benchmarks.html"},{"rel":"publication_pdf","url":"https://proceedings.neurips.cc/paper_files/paper/2023/file/bbbb6308b... | Annotation reviewed against the primary abstract. | 2023-07-19 | [] | curated | core | Collects Android interaction demonstrations with screens, actions, and instructions across device and platform variations for robustness evaluation. | [
"R01.11.01.01"
] | [
"data-generation",
"mobile-navigation",
"evaluation"
] | 2023-10-27 | null |
arxiv:2307.12856 | A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis | https://arxiv.org/abs/2307.12856 | paper | [] | [
"Izzeddin Gur",
"Hiroki Furuta",
"Austin Huang",
"Mustafa Safdari",
"Yutaka Matsuo",
"Douglas Eck",
"Aleksandra Faust"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"65328d525a6458ef8c401fb0ac4a9b6a5142bad462bd15a212d124c83a56209f","submitted_at":"2023-07-24T14:56:30Z","updated_at":"2024-02-25T16:17:43Z","version":4,"versioned_url":"https://arxiv.org/abs/2307.12856v4"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2307.12856",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2307.12856"}] | The annotation and scope were reviewed against the primary paper abstract. | 2023-07-24 | [] | curated | core | Combines task decomposition, HTML summarization, and generated Python programs to carry out instructions on websites. | [
"R04.01.02.04"
] | [
"web-navigation",
"planning"
] | 2024-02-25 | null |
arxiv:2307.13854 | WebArena: A Realistic Web Environment for Building Autonomous Agents | https://arxiv.org/abs/2307.13854 | paper | [] | [
"Shuyan Zhou",
"Frank F. Xu",
"Hao Zhu",
"Xuhui Zhou",
"Robert Lo",
"Abishek Sridhar",
"Xianyi Cheng",
"Tianyue Ou",
"Yonatan Bisk",
"Daniel Fried",
"Uri Alon",
"Graham Neubig"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"0e9eca0165573ba53b663acbb1c7962fd2d64bc6633f10397f9cad229772a363","submitted_at":"2023-07-25T22:59:32Z","updated_at":"2024-04-16T15:13:18Z","version":4,"versioned_url":"https://arxiv.org/abs/2307.13854v4"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:20Z","role":"primary","sha256":"cbe8bfcbce4170a94a6cf42de01fbe0a448e7b1d29fa75a0de877105a98ec08e","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1802.08802%2C... | {
"arxiv": "2307.13854",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:20Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2307.13854"}] | Editorial summary based on the primary paper abstract. | 2023-07-25 | [] | curated | core | Introduces reproducible web environments with task-completion checks for evaluating autonomous web agents. | [
"R04.01.02.04"
] | [
"evaluation",
"web-navigation",
"long-horizon"
] | 2024-04-16 | null |
arxiv:2308.03688 | AgentBench: Evaluating LLMs as Agents | https://arxiv.org/abs/2308.03688 | paper | [] | [
"Xiao Liu",
"Hao Yu",
"Hanchen Zhang",
"Yifan Xu",
"Xuanyu Lei",
"Hanyu Lai",
"Yu Gu",
"Hangliang Ding",
"Kaiwen Men",
"Kejuan Yang",
"Shudan Zhang",
"Xiang Deng",
"Aohan Zeng",
"Zhengxiao Du",
"Chenhui Zhang",
"Sheng Shen",
"Tianjun Zhang",
"Yu Su",
"Huan Sun",
"Minlie Huang",... | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"d8c4ba4db4aeed3a7b7ce7f77d610d7e34b0e8db26a36463e2c0bdffcad8f22a","submitted_at":"2023-08-07T16:08:11Z","updated_at":"2025-10-04T03:54:18Z","version":3,"versioned_url":"https://arxiv.org/abs/2308.03688v3"}} | [
"cross-platform"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:24Z","role":"primary","sha256":"3aac6e9748769efff3c475ede0da192776daa03431d231b5f67e2aa50f8a3be9","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2308.03688%2C... | {
"arxiv": "2308.03688",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:24Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2308.03688"}] | The annotation and scope were reviewed against the primary paper abstract. | 2023-08-07 | [] | curated | adjacent | Evaluates language agents across eight interactive environments and analyzes failures in reasoning, decisions, and instruction following. | [
"R02.07.01.02"
] | [
"evaluation",
"planning"
] | 2025-10-04 | null |
arxiv:2308.05898 | Unveiling the Tricks: Automated Detection of Dark Patterns in Mobile Applications | https://arxiv.org/abs/2308.05898 | paper | [] | [
"Jieshan Chen",
"Jiamou Sun",
"Sidong Feng",
"Zhenchang Xing",
"Qinghua Lu",
"Xiwei Xu",
"Chunyang Chen"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"d758750525a78e746ec4bcc8f603006b9ff6e2864fc28fc05635d30a53609aaf","submitted_at":"2023-08-11T01:18:56Z","updated_at":"2024-11-28T00:01:03Z","version":2,"versioned_url":"https://arxiv.org/abs/2308.05898v2"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-11-05T21:13:36Z","role":"primary","sha256":"4490f8d57c320dc1cce6bf3818c7bae7a4d86cab96ab3a1c924160b63c251995","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1103.0086%2C1... | {
"arxiv": "2308.05898",
"doi": null,
"preferred_arxiv": null
} | 2026-11-05T23:00:44Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2308.05898"}] | The annotation and scope were reviewed against the complete retained arXiv abstract (v2). | 2023-08-11 | [] | curated | adjacent | Introduces UIGuard, a system that examines mobile UI visuals and text to detect dark patterns, together with a labeled dataset of benign and malicious interfaces. | [
"R02.04.01.01"
] | [
"ui-design",
"screen-understanding",
"data-generation"
] | 2024-11-28 | null |
arxiv:2308.15272 | AutoDroid: LLM-powered Task Automation in Android | https://arxiv.org/abs/2308.15272 | paper | [] | [
"Hao Wen",
"Yuanchun Li",
"Guohong Liu",
"Shanhui Zhao",
"Tao Yu",
"Toby Jia-Jun Li",
"Shiqi Jiang",
"Yunhao Liu",
"Yaqin Zhang",
"Yunxin Liu"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"6a103fe10850a39d25bbb2b4a9ea0593d686938243bb912c674fd906e754c1fb","submitted_at":"2023-08-29T13:02:30Z","updated_at":"2024-03-09T09:38:51Z","version":4,"versioned_url":"https://arxiv.org/abs/2308.15272v4"}} | [
"android"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:24Z","role":"primary","sha256":"3aac6e9748769efff3c475ede0da192776daa03431d231b5f67e2aa50f8a3be9","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2308.03688%2C... | {
"arxiv": "2308.15272",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:24Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2308.15272"}] | The annotation and scope were reviewed against the primary paper abstract. | 2023-08-29 | [] | curated | core | Combines language-model reasoning with app analysis, UI representations, and exploration-derived memory for Android task automation. | [
"R04.04.01.01"
] | [
"mobile-navigation",
"memory"
] | 2024-03-09 | null |
arxiv:2309.08172 | LASER: LLM Agent with State-Space Exploration for Web Navigation | https://arxiv.org/abs/2309.08172 | paper | [] | [
"Kaixin Ma",
"Hongming Zhang",
"Hongwei Wang",
"Xiaoman Pan",
"Wenhao Yu",
"Dong Yu"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"399c97382cac325a9d60a073a14221dee6ee6254cb0b8aa88a5341a7bb758c97","submitted_at":"2023-09-15T05:44:08Z","updated_at":"2024-02-21T17:42:32Z","version":2,"versioned_url":"https://arxiv.org/abs/2309.08172v2"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:24Z","role":"primary","sha256":"3aac6e9748769efff3c475ede0da192776daa03431d231b5f67e2aa50f8a3be9","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2308.03688%2C... | {
"arxiv": "2309.08172",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:24Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2309.08172"}] | The annotation and scope were reviewed against the primary paper abstract. | 2023-09-15 | [] | curated | core | LASER represents web navigation as exploration over a defined set of states, allowing an agent to revisit earlier states after mistakes. The study evaluates this backtracking approach on WebShop and Amazon tasks. | [
"R12.01.01.02"
] | [
"planning",
"robustness",
"web-navigation"
] | 2024-02-21 | null |
arxiv:2309.11436 | You Only Look at Screens: Multimodal Chain-of-Action Agents | https://arxiv.org/abs/2309.11436 | paper | [] | [
"Zhuosheng Zhang",
"Aston Zhang"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"6d9cff1ece6115e87b7a9032f5720deb49694fbf570bea1f152018c4fa80d981","submitted_at":"2023-09-20T16:12:32Z","updated_at":"2024-06-07T04:52:29Z","version":4,"versioned_url":"https://arxiv.org/abs/2309.11436v4"},"publication":{... | [
"android"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:24Z","role":"primary","sha256":"3aac6e9748769efff3c475ede0da192776daa03431d231b5f67e2aa50f8a3be9","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2308.03688%2C... | {
"arxiv": "2309.11436",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:24Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2309.11436"},{"rel":"publication","url":"https://aclanthology.org/2024.findings-acl.186/"},{"rel":"publication_pdf","url":"https://aclanthology.org/2024.findings-acl.186.pdf"}] | The annotation and scope were reviewed against the primary paper abstract. | 2023-09-20 | [] | curated | core | Introduces Auto-GUI, a screenshot-based agent using previous actions and future action plans to guide device interaction. | [
"R01.11.01.01"
] | [
"mobile-navigation",
"planning"
] | 2024-06-07 | null |
arxiv:2310.02424 | AXNav: Replaying Accessibility Tests from Natural Language | https://arxiv.org/abs/2310.02424 | paper | [] | [
"Maryam Taeb",
"Amanda Swearngin",
"Eldon Schoop",
"Ruijia Cheng",
"Yue Jiang",
"Jeffrey Nichols"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"cdf6ca927e82a2828762dc74f80fe16de433cc36e2ee6413692d8d2cf1544dce","submitted_at":"2023-10-03T20:37:58Z","updated_at":"2024-03-05T01:28:25Z","version":3,"versioned_url":"https://arxiv.org/abs/2310.02424v3"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-11-05T21:13:36Z","role":"primary","sha256":"4490f8d57c320dc1cce6bf3818c7bae7a4d86cab96ab3a1c924160b63c251995","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1103.0086%2C1... | {
"arxiv": "2310.02424",
"doi": null,
"preferred_arxiv": null
} | 2026-11-05T23:00:44Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2310.02424"}] | The annotation and scope were reviewed against the complete retained arXiv abstract (v3). The abstract describes an accessibility testing workflow and a 10-participant user study. | 2023-10-03 | [] | curated | core | Introduces an LLM and pixel-based UI system that executes natural-language accessibility tests, records navigable videos and flags potential interface issues. | [
"R02.07.01.03"
] | [
"automation",
"screen-understanding",
"video",
"evaluation"
] | 2024-03-05 | null |
arxiv:2310.03720 | SteP: Stacked LLM Policies for Web Actions | https://arxiv.org/abs/2310.03720 | paper | [] | [
"Paloma Sodhi",
"S. R. K. Branavan",
"Yoav Artzi",
"Ryan McDonald"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"d843f3c65e5961da773ec0265c2cfbf51d7c8214d9232ecad1638cc0dbb9ef64","submitted_at":"2023-10-05T17:40:09Z","updated_at":"2024-08-08T18:00:48Z","version":4,"versioned_url":"https://arxiv.org/abs/2310.03720v4"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:45:04Z","role":"primary","sha256":"bab88dfed88ca440c231aa768530374a0f19498777a70921481a904fddd46bb8","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2303.17760%2C... | {
"arxiv": "2310.03720",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:45:04Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2310.03720"}] | The annotation and scope were reviewed against the primary paper abstract. | 2023-10-05 | [] | curated | core | SteP dynamically composes specialized web-action policies through a stack that records the active chain of policy calls. It studies this control structure across WebArena, MiniWoB++, and CRM workflows. | [
"R04.01.02.04"
] | [
"planning",
"web-navigation",
"workflow"
] | 2024-08-08 | null |
arxiv:2310.04716 | Reinforced UI Instruction Grounding: Towards a Generic UI Task Automation API | https://arxiv.org/abs/2310.04716 | paper | [] | [
"Zhizheng Zhang",
"Wenxuan Xie",
"Xiaoyi Zhang",
"Yan Lu"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"f389de80bb86a759df2cfc7000188286efcd73c99a43ede376c46f190832ef80","submitted_at":"2023-10-07T07:22:41Z","updated_at":"2023-10-07T07:22:41Z","version":1,"versioned_url":"https://arxiv.org/abs/2310.04716v1"}} | [
"cross-platform"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:24Z","role":"primary","sha256":"3aac6e9748769efff3c475ede0da192776daa03431d231b5f67e2aa50f8a3be9","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2308.03688%2C... | {
"arxiv": "2310.04716",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:24Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2310.04716"}] | The annotation and scope were reviewed against the primary paper abstract. | 2023-10-07 | [] | curated | core | Trains a screenshot-based instruction-grounding model to predict target coordinates, using reinforcement learning to improve spatial decoding. | [
"R02.07.01.02"
] | [
"grounding",
"reinforcement-learning"
] | 2023-10-07 | null |
arxiv:2310.04869 | ILuvUI: Instruction-tuned LangUage-Vision modeling of UIs from Machine Conversations | https://arxiv.org/abs/2310.04869 | paper | [] | [
"Yue Jiang",
"Eldon Schoop",
"Amanda Swearngin",
"Jeffrey Nichols"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"a49e879891017071fce4df0ff4b07bd9e8b5a6e14385af565549aadbde1bc1cf","submitted_at":"2023-10-07T16:32:34Z","updated_at":"2023-10-07T16:32:34Z","version":1,"versioned_url":"https://arxiv.org/abs/2310.04869v1"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:24Z","role":"primary","sha256":"3aac6e9748769efff3c475ede0da192776daa03431d231b5f67e2aa50f8a3be9","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2308.03688%2C... | {
"arxiv": "2310.04869",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:24Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2310.04869"}] | The annotation and scope were reviewed against the primary paper abstract. | 2023-10-07 | [] | curated | core | ILuvUI generates 335,000 conversational training examples paired with UI screenshots, covering questions, descriptions, and plans. The resulting vision-language model is assessed on element detection, response quality, and examples of multi-step UI navigation. | [
"R02.07.01.02"
] | [
"data-generation",
"screen-understanding",
"grounding",
"planning"
] | 2023-10-07 | null |
arxiv:2310.05126 | UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model | https://arxiv.org/abs/2310.05126 | paper | [] | [
"Jiabo Ye",
"Anwen Hu",
"Haiyang Xu",
"Qinghao Ye",
"Ming Yan",
"Guohai Xu",
"Chenliang Li",
"Junfeng Tian",
"Qi Qian",
"Ji Zhang",
"Qin Jin",
"Liang He",
"Xin Alex Lin",
"Fei Huang"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"39d5cf803efe3abaf70a9b78483bb0e750a8741adec1c4b7f3c05b9754d88560","submitted_at":"2023-10-08T11:33:09Z","updated_at":"2023-10-08T11:33:09Z","version":1,"versioned_url":"https://arxiv.org/abs/2310.05126v1"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:24Z","role":"primary","sha256":"3aac6e9748769efff3c475ede0da192776daa03431d231b5f67e2aa50f8a3be9","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2308.03688%2C... | {
"arxiv": "2310.05126",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:24Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2310.05126"}] | The annotation and scope were reviewed against the complete retained original arXiv abstract. The interface connection is static webpage-screenshot understanding. | 2023-10-08 | [] | curated | adjacent | Introduces UReader, which combines unified instruction tuning, auxiliary text-reading tasks and shape-adaptive image crops for OCR-free visual language understanding. Its evaluation includes webpage screenshots alongside documents, tables, charts and natural images. | [
"R04.01.02.04"
] | [
"screen-understanding",
"efficiency"
] | 2023-10-08 | null |
arxiv:2310.07128 | CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace | https://arxiv.org/abs/2310.07128 | paper | [] | [
"Yuchao Huang",
"Junjie Wang",
"Zhe Liu",
"Yawen Wang",
"Song Wang",
"Chunyang Chen",
"Yuanzhe Hu",
"Qing Wang"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"de8aa5699744b43f025cc05f857393154784291bf1c427a01cd706f9830216e6","submitted_at":"2023-10-11T02:00:18Z","updated_at":"2023-10-11T02:00:18Z","version":1,"versioned_url":"https://arxiv.org/abs/2310.07128v1"}} | [
"android"
] | [{"method":"arxiv_api","retrieved_at":"2026-11-05T21:13:36Z","role":"primary","sha256":"4490f8d57c320dc1cce6bf3818c7bae7a4d86cab96ab3a1c924160b63c251995","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1103.0086%2C1... | {
"arxiv": "2310.07128",
"doi": null,
"preferred_arxiv": null
} | 2026-11-05T23:00:44Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2310.07128"}] | The annotation and scope were reviewed against the complete retained arXiv abstract (v1). The reported evaluation uses 75 crash reports involving 58 Android apps. | 2023-10-11 | [] | curated | core | Introduces CrashTranslator, which predicts GUI exploration steps from stack traces with an LLM and uses RL-guided search to reproduce crashes in Android apps. | [
"R02.07.01.01"
] | [
"mobile-navigation",
"reinforcement-learning",
"planning",
"automation"
] | 2023-10-11 | null |
arxiv:2310.08740 | A Zero-Shot Language Agent for Computer Control with Structured Reflection | https://arxiv.org/abs/2310.08740 | paper | [] | [
"Tao Li",
"Gang Li",
"Zhiwei Deng",
"Bryan Wang",
"Yang Li"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"95092986184a232af62c61fa2aedefb837851dce9e0ff7a1128a67d47edfde40","submitted_at":"2023-10-12T21:53:37Z","updated_at":"2023-10-23T17:39:51Z","version":3,"versioned_url":"https://arxiv.org/abs/2310.08740v3"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:24Z","role":"primary","sha256":"3aac6e9748769efff3c475ede0da192776daa03431d231b5f67e2aa50f8a3be9","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2308.03688%2C... | {
"arxiv": "2310.08740",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:24Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2310.08740"}] | The annotation and scope were reviewed against the primary paper abstract. | 2023-10-12 | [] | curated | core | Studies a zero-shot computer-control agent that plans executable actions and organizes its own reflections after mistakes. MiniWoB++ experiments examine learning to complete tasks without supplied expert trajectories. | [
"R04.01.02.04"
] | [
"self-reflection",
"planning",
"web-navigation"
] | 2023-10-23 | null |
arxiv:2310.10634 | OpenAgents: An Open Platform for Language Agents in the Wild | https://arxiv.org/abs/2310.10634 | paper | [] | [
"Tianbao Xie",
"Fan Zhou",
"Zhoujun Cheng",
"Peng Shi",
"Luoxuan Weng",
"Yitao Liu",
"Toh Jing Hua",
"Junning Zhao",
"Qian Liu",
"Che Liu",
"Leo Z. Liu",
"Yiheng Xu",
"Hongjin Su",
"Dongchan Shin",
"Caiming Xiong",
"Tao Yu"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"15d7945fcf1ee4290761d34bbeef9e24bed82bb748bdb7aaa791457c42892fec","submitted_at":"2023-10-16T17:54:53Z","updated_at":"2023-10-16T17:54:53Z","version":1,"versioned_url":"https://arxiv.org/abs/2310.10634v1"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:24Z","role":"primary","sha256":"3aac6e9748769efff3c475ede0da192776daa03431d231b5f67e2aa50f8a3be9","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2308.03688%2C... | {
"arxiv": "2310.10634",
"doi": null,
"preferred_arxiv": null
} | 2026-10-17T17:11:36Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2310.10634"}] | The annotation and scope were reviewed against the complete retained original arXiv abstract. Scope is adjacent: autonomous web browsing is one of three hosted agents, beside data-analysis and API-plugin agents. | 2023-10-16 | [] | curated | adjacent | OpenAgents hosts three language agents, for data analysis, API plugins and autonomous web browsing, behind a web interface for non-expert users, with local deployment for developers. | [
"R03.02.01.01"
] | [
"web-navigation",
"tool-integration"
] | 2023-10-16 | null |
arxiv:2310.11441 | Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V | https://arxiv.org/abs/2310.11441 | paper | [] | [
"Jianwei Yang",
"Hao Zhang",
"Feng Li",
"Xueyan Zou",
"Chunyuan Li",
"Jianfeng Gao"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"abafe2b974ddd80416b215cd4c48d801e18fe9162b9c097d819d42eaff68a069","submitted_at":"2023-10-17T17:51:31Z","updated_at":"2023-11-06T07:39:49Z","version":2,"versioned_url":"https://arxiv.org/abs/2310.11441v2"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:24Z","role":"primary","sha256":"3aac6e9748769efff3c475ede0da192776daa03431d231b5f67e2aa50f8a3be9","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2308.03688%2C... | {
"arxiv": "2310.11441",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:24Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2310.11441"}] | The annotation and scope were reviewed against the primary paper abstract. | 2023-10-17 | [] | curated | adjacent | Overlays labeled image regions to help multimodal models refer to and reason about visual targets; a general visual-prompting method relevant to GUI grounding. | [
"R02.07.01.02"
] | [
"grounding"
] | 2023-11-06 | null |
arxiv:2310.13518 | Vision-Based Mobile App GUI Testing: A Survey | https://arxiv.org/abs/2310.13518 | survey | [] | [
"Shengcheng Yu",
"Chunrong Fang",
"Ziyuan Tuo",
"Quanjun Zhang",
"Chunyang Chen",
"Zhenyu Chen",
"Zhendong Su"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"b8749aabd4cab3ac9bf906f13f369df7e428c416cd61120d0dda2f6f6f380f99","submitted_at":"2023-10-20T14:04:04Z","updated_at":"2025-10-20T12:56:54Z","version":3,"versioned_url":"https://arxiv.org/abs/2310.13518v3"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-11-05T21:13:36Z","role":"primary","sha256":"4490f8d57c320dc1cce6bf3818c7bae7a4d86cab96ab3a1c924160b63c251995","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1103.0086%2C1... | {
"arxiv": "2310.13518",
"doi": null,
"preferred_arxiv": null
} | 2026-11-05T23:00:48Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2310.13518"}] | The annotation and scope were reviewed against the complete retained arXiv abstract (v3). | 2023-10-20 | [] | curated | core | Surveys vision-based mobile app GUI testing across test generation, record-and-replay and testing frameworks, drawing on 271 papers including 92 vision-based studies. | [
"R02.07.01.02"
] | [
"survey",
"screen-understanding",
"recording",
"automation"
] | 2025-10-20 | null |
arxiv:2310.14495 | InstructExcel: A Benchmark for Natural Language Instruction in Excel | https://arxiv.org/abs/2310.14495 | paper | [] | [
"Justin Payan",
"Swaroop Mishra",
"Mukul Singh",
"Carina Negreanu",
"Christian Poelitz",
"Chitta Baral",
"Subhro Roy",
"Rasika Chakravarthy",
"Benjamin Van Durme",
"Elnaz Nouri"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"1648acae2228b8ae2f042d7986585a66bc6a649320d569b12fd093b96c15cb5c","submitted_at":"2023-10-23T02:00:55Z","updated_at":"2023-10-23T02:00:55Z","version":1,"versioned_url":"https://arxiv.org/abs/2310.14495v1"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-17T07:57:30Z","role":"primary","sha256":"4856a9c146f74964be623730f3cee6b15fcaad83f7d83a4956e971b541a63070","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2304.08479%2C... | {
"arxiv": "2310.14495",
"doi": null,
"preferred_arxiv": null
} | 2026-10-17T09:11:47Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2310.14495"}] | Reviewed against the exact-version official arXiv abstract page; its normalized abstract SHA-256 matches the retained bibliographic snapshot. This is an application-specific automation benchmark grounded in recorded Excel user actions. Its execution interface is OfficeScripts, making it adjacent to visual GUI navigatio... | 2023-10-23 | [] | curated | adjacent | Introduces InstructExcel, a benchmark for generating Excel OfficeScripts from natural-language requests, built using scripts recorded from user actions and a collection of existing spreadsheets. | [
"R04.03.01.06"
] | [
"evaluation",
"workflow",
"automation"
] | 2023-10-23 | null |
arxiv:2310.15780 | Make LLM a Testing Expert: Bringing Human-like Interaction to Mobile GUI Testing via Functionality-aware Decisions | https://arxiv.org/abs/2310.15780 | paper | [] | [
"Zhe Liu",
"Chunyang Chen",
"Junjie Wang",
"Mengzhuo Chen",
"Boyu Wu",
"Xing Che",
"Dandan Wang",
"Qing Wang"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"1a9d6515db610c41e595e795749a51ac32569419795811ff8e9a6ef400879cfd","submitted_at":"2023-10-24T12:30:26Z","updated_at":"2023-10-24T12:30:26Z","version":1,"versioned_url":"https://arxiv.org/abs/2310.15780v1"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-11-05T21:13:36Z","role":"primary","sha256":"4490f8d57c320dc1cce6bf3818c7bae7a4d86cab96ab3a1c924160b63c251995","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=1103.0086%2C1... | {
"arxiv": "2310.15780",
"doi": null,
"preferred_arxiv": null
} | 2026-11-05T23:00:48Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2310.15780"}] | The annotation and scope were reviewed against the complete retained arXiv abstract (v1). The reported evaluation uses 93 apps from Google Play. | 2023-10-24 | [] | curated | core | Introduces GPTDroid for mobile GUI testing: it feeds app page information to an LLM, runs generated test scripts and uses feedback and memory to guide further exploration. | [
"R02.07.01.02"
] | [
"automation",
"memory",
"screen-understanding",
"mobile-navigation"
] | 2023-10-24 | null |
arxiv:2310.16042 | WebWISE: Web Interface Control and Sequential Exploration with Large Language Models | https://arxiv.org/abs/2310.16042 | paper | [] | [
"Heyi Tao",
"Sethuraman T",
"Michal Shlapentokh-Rothman",
"Derek Hoiem"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"7defced3e3beb77a5a6513dbfdff3f102edd922907b523bd062522e54720fa5e","submitted_at":"2023-10-24T17:57:03Z","updated_at":"2023-10-25T03:54:11Z","version":2,"versioned_url":"https://arxiv.org/abs/2310.16042v2"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:24Z","role":"primary","sha256":"3aac6e9748769efff3c475ede0da192776daa03431d231b5f67e2aa50f8a3be9","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2308.03688%2C... | {
"arxiv": "2310.16042",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:24Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2310.16042"}] | The annotation and scope were reviewed against the primary paper abstract. | 2023-10-24 | [] | curated | core | WebWISE filters DOM elements into observations and generates short programs for click, scroll, and text-entry steps. It evaluates in-context learning from either one supplied example or an example collected during a successful zero-shot MiniWoB++ trial. | [
"R04.01.02.04"
] | [
"web-navigation",
"tool-integration",
"planning"
] | 2023-10-25 | null |
arxiv:2310.18331 | AllTogether: Investigating the Efficacy of Spliced Prompt for Web Navigation using Large Language Models | https://arxiv.org/abs/2310.18331 | paper | [] | [
"Jiarun Liu",
"Wentao Hu",
"Chunhong Zhang"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"c72eab40cdc28981cf83a753d88f5181b5441d82cd568265457fef96d75b36b6","submitted_at":"2023-10-20T11:10:14Z","updated_at":"2023-10-31T06:25:59Z","version":2,"versioned_url":"https://arxiv.org/abs/2310.18331v2"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:24Z","role":"primary","sha256":"3aac6e9748769efff3c475ede0da192776daa03431d231b5f67e2aa50f8a3be9","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2308.03688%2C... | {
"arxiv": "2310.18331",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:24Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2310.18331"}] | The annotation and scope were reviewed against the primary paper abstract. | 2023-10-20 | [] | curated | core | AllTogether standardizes prompts for HTML-based web navigation and compares prompting with instruction fine-tuning. Its analysis examines how HTML context, interaction history, and current environmental feedback affect task execution. | [
"R04.01.02.04"
] | [
"web-navigation",
"interaction-history",
"evaluation"
] | 2023-10-31 | null |
arxiv:2311.01767 | PPTC Benchmark: Evaluating Large Language Models for PowerPoint Task Completion | https://arxiv.org/abs/2311.01767 | paper | [] | [
"Yiduo Guo",
"Zekai Zhang",
"Yaobo Liang",
"Dongyan Zhao",
"Nan Duan"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"58dfa75fd82a2cc1d41954f10feb1d987de6469782d11d04c3b8bfffc8a3b745","submitted_at":"2023-11-03T08:06:35Z","updated_at":"2023-11-07T10:13:34Z","version":2,"versioned_url":"https://arxiv.org/abs/2311.01767v2"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:24Z","role":"primary","sha256":"3aac6e9748769efff3c475ede0da192776daa03431d231b5f67e2aa50f8a3be9","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2308.03688%2C... | {
"arxiv": "2311.01767",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:24Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2311.01767"}] | The annotation and scope were reviewed against the primary paper abstract. | 2023-11-03 | [] | curated | adjacent | Evaluates multi-turn PowerPoint creation and editing by scoring the resulting presentation files. | [
"R04.04.01.01"
] | [
"evaluation",
"tool-integration"
] | 2023-11-07 | null |
arxiv:2311.07562 | GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation | https://arxiv.org/abs/2311.07562 | paper | [] | [
"An Yan",
"Zhengyuan Yang",
"Wanrong Zhu",
"Kevin Lin",
"Linjie Li",
"Jianfeng Wang",
"Jianwei Yang",
"Yiwu Zhong",
"Julian McAuley",
"Jianfeng Gao",
"Zicheng Liu",
"Lijuan Wang"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"ebe6ff09f876b81d033a064301a1c23e3c141d2a1ad0d7a5df91e729377fcd3b","submitted_at":"2023-11-13T18:53:37Z","updated_at":"2023-11-13T18:53:37Z","version":1,"versioned_url":"https://arxiv.org/abs/2311.07562v1"}} | [
"ios",
"android"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:24Z","role":"primary","sha256":"3aac6e9748769efff3c475ede0da192776daa03431d231b5f67e2aa50f8a3be9","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2308.03688%2C... | {
"arxiv": "2311.07562",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:24Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2311.07562"}] | The annotation and scope were reviewed against the primary paper abstract. | 2023-11-13 | [] | curated | core | Studies MM-Navigator, a multimodal agent that interprets smartphone screenshots and predicts localized actions without task-specific training. | [
"R05.05.01.01"
] | [
"mobile-navigation",
"grounding"
] | 2023-11-13 | null |
arxiv:2311.08649 | Autonomous Large Language Model Agents Enabling Intent-Driven Mobile GUI Testing | https://arxiv.org/abs/2311.08649 | paper | [] | [
"Juyeon Yoon",
"Robert Feldt",
"Shin Yoo"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"3d61362613d8b732fc00762763ee9e842eb58c082c1097b5bc485e43b396ce4c","submitted_at":"2023-11-15T01:59:40Z","updated_at":"2023-11-15T01:59:40Z","version":1,"versioned_url":"https://arxiv.org/abs/2311.08649v1"},"publication":{... | [
"android"
] | [{"method":"arxiv_api","retrieved_at":"2026-11-09T08:05:55Z","role":"primary","sha256":"d84811c1901af5997f748274c6f6ccf434c29ab0e3b7e2baf722cb7faac12cb6","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2311.08649%2C... | {
"arxiv": "2311.08649",
"doi": null,
"preferred_arxiv": null
} | 2026-11-09T08:07:58Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2311.08649"},{"rel":"publication","url":"https://ieeexplore.ieee.org/abstract/document/10638557"}] | The authors report 61% average activity coverage, compared with 51% for other GUI testing techniques. Their manual analysis judged 317 of 374 autonomously created tasks realistic and relevant to app functions. | 2023-11-15 | [] | curated | core | DroidAgent uses language models and memory to set and execute GUI test goals in Android apps; an evaluation covers 15 apps from the Themis benchmark. | null | [
"mobile-navigation",
"automation",
"planning",
"memory"
] | 2023-11-15 | null |
arxiv:2311.10751 | ProAgent: From Robotic Process Automation to Agentic Process Automation | https://arxiv.org/abs/2311.10751 | paper | [] | [
"Yining Ye",
"Xin Cong",
"Shizuo Tian",
"Jiannan Cao",
"Hao Wang",
"Yujia Qin",
"Yaxi Lu",
"Heyang Yu",
"Huadong Wang",
"Yankai Lin",
"Zhiyuan Liu",
"Maosong Sun"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"1cb7c2d81302a2dfa8179c5f83e940f5b2015c591dc779c770a8382694b67801","submitted_at":"2023-11-02T14:32:16Z","updated_at":"2023-11-23T12:14:08Z","version":2,"versioned_url":"https://arxiv.org/abs/2311.10751v2"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-17T07:57:30Z","role":"primary","sha256":"4856a9c146f74964be623730f3cee6b15fcaad83f7d83a4956e971b541a63070","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2304.08479%2C... | {
"arxiv": "2311.10751",
"doi": null,
"preferred_arxiv": null
} | 2026-11-05T23:00:48Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2311.10751"}] | The annotation and scope were reviewed against the complete retained arXiv abstract (v2). | 2023-11-02 | [] | curated | adjacent | Introduces ProAgent, an LLM-based agent that builds automation workflows from human instructions and coordinates specialized agents during workflow execution. | [
"R01.06.01.03"
] | [
"workflow",
"planning",
"automation"
] | 2023-11-23 | null |
arxiv:2311.12983 | GAIA: a benchmark for General AI Assistants | https://arxiv.org/abs/2311.12983 | paper | [] | [
"Grégoire Mialon",
"Clémentine Fourrier",
"Craig Swift",
"Thomas Wolf",
"Yann LeCun",
"Thomas Scialom"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"29ddf2b7b4d495ee18bbd263cd77f86a71b3014b58a6f140c3bfce7cbae9c922","submitted_at":"2023-11-21T20:34:47Z","updated_at":"2023-11-21T20:34:47Z","version":1,"versioned_url":"https://arxiv.org/abs/2311.12983v1"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:24Z","role":"primary","sha256":"3aac6e9748769efff3c475ede0da192776daa03431d231b5f67e2aa50f8a3be9","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2308.03688%2C... | {
"arxiv": "2311.12983",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:24Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2311.12983"}] | The annotation and scope were reviewed against the primary paper abstract. | 2023-11-21 | [] | curated | adjacent | Introduces questions that test assistant reasoning, multimodal understanding, browsing, and tool use beyond screen-action execution alone. | [
"R04.01.02.04"
] | [
"evaluation",
"tool-integration"
] | 2023-11-21 | null |
arxiv:2311.18751 | Exposing Limitations of Language Model Agents in Sequential-Task Compositions on the Web | https://arxiv.org/abs/2311.18751 | paper | [] | [
"Hiroki Furuta",
"Yutaka Matsuo",
"Aleksandra Faust",
"Izzeddin Gur"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"4b00e0a9c74b7ac8819bdda540a1069c33cbac45f0c7fb853dee995f2feb9a59","submitted_at":"2023-11-30T17:50:47Z","updated_at":"2024-12-31T04:24:16Z","version":3,"versioned_url":"https://arxiv.org/abs/2311.18751v3"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:24Z","role":"primary","sha256":"3aac6e9748769efff3c475ede0da192776daa03431d231b5f67e2aa50f8a3be9","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2308.03688%2C... | {
"arxiv": "2311.18751",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:24Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2311.18751"}] | The annotation and scope were reviewed against the primary paper abstract. | 2023-11-30 | [] | curated | core | CompWoB adds 50 composed web-automation tasks to study generalization from simpler interactions. The paper compares prompted and fine-tuned agents, balances task training data, and probes sensitivity to changes in instruction order. | [
"R04.01.02.04"
] | [
"evaluation",
"long-horizon",
"robustness",
"web-navigation"
] | 2024-12-31 | null |
arxiv:2312.03003 | Explore, Select, Derive, and Recall: Augmenting LLM with Human-like Memory for Mobile Task Automation | https://arxiv.org/abs/2312.03003 | paper | [] | [
"Sunjae Lee",
"Junyoung Choi",
"Jungjae Lee",
"Munim Hasan Wasi",
"Hojun Choi",
"Steven Y. Ko",
"Sangeun Oh",
"Insik Shin"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"b9b6f10b17513f565a13e035802d8bd681b5b0d468ba000df1427a8d59591e2c","submitted_at":"2023-12-04T06:13:35Z","updated_at":"2024-10-16T08:15:53Z","version":3,"versioned_url":"https://arxiv.org/abs/2312.03003v3"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:24Z","role":"primary","sha256":"3aac6e9748769efff3c475ede0da192776daa03431d231b5f67e2aa50f8a3be9","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2308.03688%2C... | {
"arxiv": "2312.03003",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:24Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2312.03003"}] | Reviewed against the retained original arXiv abstract. | 2023-12-04 | [] | curated | core | Introduces MobileGPT, which organizes mobile-app experience into reusable subtasks using an explore, select, derive, and recall cycle. Its memory supports learning task procedures and adapting them to new contexts. | [
"R01.11.01.01"
] | [
"mobile-navigation",
"memory",
"planning"
] | 2024-10-16 | null |
arxiv:2312.06677 | Intelligent Virtual Assistants with LLM-based Process Automation | https://arxiv.org/abs/2312.06677 | paper | [] | [
"Yanchu Guan",
"Dong Wang",
"Zhixuan Chu",
"Shiyu Wang",
"Feiyue Ni",
"Ruihua Song",
"Longfei Li",
"Jinjie Gu",
"Chenyi Zhuang"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"598c8c30348d454c638944c932dd55355b5d3ecda6eb6f3910a27fffcab9622a","submitted_at":"2023-12-04T07:51:58Z","updated_at":"2023-12-04T07:51:58Z","version":1,"versioned_url":"https://arxiv.org/abs/2312.06677v1"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:24Z","role":"primary","sha256":"3aac6e9748769efff3c475ede0da192776daa03431d231b5f67e2aa50f8a3be9","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2308.03688%2C... | {
"arxiv": "2312.06677",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:24Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2312.06677"}] | The annotation and scope were reviewed against the complete retained original arXiv abstract. The abstract names Alipay. | 2023-12-04 | [] | curated | core | Presents LLMPA, a mobile process-automation architecture that decomposes requests, identifies interface elements, predicts actions and checks errors. Demonstrations evaluate multistep operations in Alipay. | [
"R01.11.01.01"
] | [
"mobile-navigation",
"planning",
"automation"
] | 2023-12-04 | null |
arxiv:2312.08914 | CogAgent: A Visual Language Model for GUI Agents | https://arxiv.org/abs/2312.08914 | paper | [] | [] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"755198d83a3af9fe6d032f1446ec9bf57bf7e6f314d37787ce8a6aaa16bddc47","submitted_at":"2023-12-14T13:20:57Z","updated_at":"2024-12-27T06:56:18Z","version":3,"versioned_url":"https://arxiv.org/abs/2312.08914v3"},"publication":{... | [
"desktop",
"android",
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:37:01Z","role":"primary","sha256":"8bfa074910574410d7988771270feded31e7e1bd1fd0924d4754850d4a5f1914","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?search_query=%28ti%3A... | {
"arxiv": "2312.08914",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:37:01Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2312.08914"},{"rel":"publication","url":"https://openaccess.thecvf.com/content/CVPR2024/html/Hong_CogAgent_A_Visual_Language_Model_for_GUI_Agents_CVPR_2024_paper.html"},{"rel":"publication_pdf","url":"https://openaccess.thecvf.com/content/CVPR2024/papers/Hong_CogAgent_A_Vi... | The annotation and scope were reviewed against the primary paper abstract. | 2023-12-14 | [] | curated | core | Introduces a visual-language model with low- and high-resolution image encoders for screenshot understanding and GUI navigation. | [
"R01.11.01.01"
] | [
"screen-understanding",
"grounding"
] | 2024-12-27 | true |
arxiv:2312.10170 | UINav: A Practical Approach to Train On-Device Automation Agents | https://arxiv.org/abs/2312.10170 | paper | [] | [
"Wei Li",
"Fu-Lin Hsu",
"Will Bishop",
"Folawiyo Campbell-Ajala",
"Max Lin",
"Oriana Riva"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"64345477c122c4e1ebefb4ba82c09d6ccce30038f92e0bcf26aac76ca108e8eb","submitted_at":"2023-12-15T19:37:39Z","updated_at":"2024-06-28T11:25:41Z","version":4,"versioned_url":"https://arxiv.org/abs/2312.10170v4"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-11-05T21:13:41Z","role":"primary","sha256":"4f8c52402475481097941fac66a689892def7057d6129b23f62f53f31e53690a","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2312.02051%2C... | {
"arxiv": "2312.10170",
"doi": null,
"preferred_arxiv": null
} | 2026-11-05T23:00:53Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2312.10170"}] | The annotation and scope were reviewed against the complete retained arXiv abstract (v4). | 2023-12-15 | [] | curated | core | Introduces UINav, a demonstration-based method for training mobile UI automation agents, with a referee model for failure feedback and automatic augmentation of examples. | [
"R11.07.01.01"
] | [
"imitation-learning",
"automation",
"human-in-the-loop",
"data-generation"
] | 2024-06-28 | null |
arxiv:2312.11190 | VisionTasker: Mobile Task Automation Using Vision Based UI Understanding and LLM Task Planning | https://arxiv.org/abs/2312.11190 | paper | [] | [
"Yunpeng Song",
"Yiheng Bian",
"Yongtao Tang",
"Guiyu Ma",
"Zhongmin Cai"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"df1390eab35db18dedaf135ddbbc9fdfcacbc9a70c51ec2609cf331cc05e06bd","submitted_at":"2023-12-18T13:35:46Z","updated_at":"2024-07-29T14:52:38Z","version":2,"versioned_url":"https://arxiv.org/abs/2312.11190v2"}} | [
"android"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:45:04Z","role":"primary","sha256":"bab88dfed88ca440c231aa768530374a0f19498777a70921481a904fddd46bb8","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2303.17760%2C... | {
"arxiv": "2312.11190",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:45:04Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2312.11190"}] | The annotation and scope were reviewed against the primary paper abstract. | 2023-12-18 | [] | curated | core | VisionTasker converts screenshots into textual UI interpretations and presents one interface at a time to an LLM planner for action selection. It evaluates visual representations and execution of 147 tasks on an Android smartphone, including integration with programming by demonstration. | [
"R04.04.01.01",
"R05.05.01.01"
] | [
"screen-understanding",
"planning",
"mobile-navigation"
] | 2024-07-29 | null |
arxiv:2312.13108 | ASSISTGUI: Task-Oriented Desktop Graphical User Interface Automation | https://arxiv.org/abs/2312.13108 | paper | [] | [
"Difei Gao",
"Lei Ji",
"Zechen Bai",
"Mingyu Ouyang",
"Peiran Li",
"Dongxing Mao",
"Qinchen Wu",
"Weichen Zhang",
"Peiyi Wang",
"Xiangwu Guo",
"Hengxu Wang",
"Luowei Zhou",
"Mike Zheng Shou"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"c771b076044c170728041a4f54662d21493adcc3742d40db08cb2f9bd0614655","submitted_at":"2023-12-20T15:28:38Z","updated_at":"2024-01-01T14:26:39Z","version":2,"versioned_url":"https://arxiv.org/abs/2312.13108v2"}} | [
"desktop",
"windows"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:24Z","role":"primary","sha256":"3aac6e9748769efff3c475ede0da192776daa03431d231b5f67e2aa50f8a3be9","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2308.03688%2C... | {
"arxiv": "2312.13108",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:24Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2312.13108"}] | The annotation and scope were reviewed against the primary paper abstract. | 2023-12-20 | [] | curated | core | Introduces Windows application tasks and an actor-critic agent framework for mouse-and-keyboard automation of desktop workflows. | [
"R01.01.02.01"
] | [
"evaluation",
"planning"
] | 2024-01-01 | null |
arxiv:2312.13771 | AppAgent: Multimodal Agents as Smartphone Users | https://arxiv.org/abs/2312.13771 | paper | [] | [
"Chi Zhang",
"Zhao Yang",
"Jiaxuan Liu",
"Yanda Li",
"Yucheng Han",
"Xin Chen",
"Zebiao Huang",
"Bin Fu",
"Gang Yu"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"61e54d83304755ce89c2ab69f7bb93a7fdc4d68cb5182daad9b5210f809d7ae1","submitted_at":"2023-12-21T11:52:45Z","updated_at":"2026-07-05T07:51:04Z","version":3,"versioned_url":"https://arxiv.org/abs/2312.13771v3"}} | [
"android"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:24Z","role":"primary","sha256":"3aac6e9748769efff3c475ede0da192776daa03431d231b5f67e2aa50f8a3be9","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2308.03688%2C... | {
"arxiv": "2312.13771",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:24Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2312.13771"}] | The annotation and scope were reviewed against the primary paper abstract. | 2023-12-21 | [] | curated | core | Builds app knowledge through exploration or human demonstrations and uses it to guide multimodal smartphone interactions. | [
"R01.11.01.01"
] | [
"mobile-navigation",
"memory"
] | 2026-07-05 | null |
arxiv:2312.15820 | WebVLN: Vision-and-Language Navigation on Websites | https://arxiv.org/abs/2312.15820 | paper | [] | [
"Qi Chen",
"Dileepa Pitawela",
"Chongyang Zhao",
"Gengze Zhou",
"Hsiang-Ting Chen",
"Qi Wu"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"47dedddced8f06bf436ab5a101d1ec4ecf4380c710e457dc7a35fc86d2e1f230","submitted_at":"2023-12-25T22:13:26Z","updated_at":"2023-12-25T22:13:26Z","version":1,"versioned_url":"https://arxiv.org/abs/2312.15820v1"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:24Z","role":"primary","sha256":"3aac6e9748769efff3c475ede0da192776daa03431d231b5f67e2aa50f8a3be9","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2308.03688%2C... | {
"arxiv": "2312.15820",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:24Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2312.15820"}] | The annotation and scope were reviewed against the primary paper abstract. | 2023-12-25 | [] | curated | core | WebVLN trains website navigation from question-based instructions using both rendered visual information and underlying HTML. It introduces WebVLN-v1 and a website-aware navigation network to study this digital variant of vision-and-language navigation. | [
"R04.01.02.04"
] | [
"web-navigation",
"data-generation",
"evaluation"
] | 2023-12-25 | null |
arxiv:2312.16062 | AutoTask: Executing Arbitrary Voice Commands by Exploring and Learning from Mobile GUI | https://arxiv.org/abs/2312.16062 | paper | [] | [
"Lihang Pan",
"Bowen Wang",
"Chun Yu",
"Yuxuan Chen",
"Xiangyu Zhang",
"Yuanchun Shi"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"0f592712517da90bfeb807ab445034c3974b406e0ed6b4933fbd19078984b9b8","submitted_at":"2023-12-26T14:20:36Z","updated_at":"2023-12-26T14:20:36Z","version":1,"versioned_url":"https://arxiv.org/abs/2312.16062v1"}} | [
"android"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:24Z","role":"primary","sha256":"3aac6e9748769efff3c475ede0da192776daa03431d231b5f67e2aa50f8a3be9","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2308.03688%2C... | {
"arxiv": "2312.16062",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:24Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2312.16062"}] | The annotation and scope were reviewed against the primary paper abstract. | 2023-12-26 | [] | curated | core | Executes voice-requested mobile tasks through GUI exploration, backtracking, and accumulated interaction experience. | [
"R01.11.01.01"
] | [
"mobile-navigation",
"memory"
] | 2023-12-26 | null |
arxiv:2401.01614 | GPT-4V(ision) is a Generalist Web Agent, if Grounded | https://arxiv.org/abs/2401.01614 | paper | [] | [
"Boyuan Zheng",
"Boyu Gou",
"Jihyung Kil",
"Huan Sun",
"Yu Su"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"a005fb14b21cf17521f4ea966e555d9963092b709bd9280c6e72a9bf0f5fa93a","submitted_at":"2024-01-03T08:33:09Z","updated_at":"2024-03-12T23:14:33Z","version":2,"versioned_url":"https://arxiv.org/abs/2401.01614v2"},"publication":{... | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:36:58Z","role":"primary","sha256":"c87e97eb397da04806d53145cf9c13be739fc657bb54dca9318c8c4ed2a36249","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?search_query=%28ti%3A... | {
"arxiv": "2401.01614",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:36:58Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2401.01614"},{"rel":"publication","url":"https://proceedings.mlr.press/v235/zheng24e.html"},{"rel":"publication_pdf","url":"https://raw.githubusercontent.com/mlresearch/v235/main/assets/zheng24e/zheng24e.pdf"}] | The annotation and scope were reviewed against the primary paper abstract. | 2024-01-03 | [] | curated | core | Introduces SeeAct and live-website evaluation, examining how visual planning and element grounding affect web-agent task completion. | [
"R04.01.02.04"
] | [
"web-navigation",
"grounding"
] | 2024-03-12 | null |
arxiv:2401.04124 | MobileAgent: enhancing mobile control via human-machine interaction and SOP integration | https://arxiv.org/abs/2401.04124 | paper | [] | [
"Tinghe Ding"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"9b8aaa2bccafd7f41802e5b7c25bc98f78307f77aeb36b7c75c57ef0f8e583a1","submitted_at":"2024-01-04T03:44:42Z","updated_at":"2024-01-17T06:35:45Z","version":3,"versioned_url":"https://arxiv.org/abs/2401.04124v3"}} | [
"android"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:24Z","role":"primary","sha256":"3aac6e9748769efff3c475ede0da192776daa03431d231b5f67e2aa50f8a3be9","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2308.03688%2C... | {
"arxiv": "2401.04124",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:24Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2401.04124"}] | The annotation and scope were reviewed against the primary paper abstract. | 2024-01-04 | [] | curated | core | Combines operating-procedure context with user interaction to guide mobile task automation and handle personalized or sensitive requests. | [
"R11.07.01.01"
] | [
"mobile-navigation",
"workflow",
"human-in-the-loop"
] | 2024-01-17 | null |
arxiv:2401.10935 | SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents | https://arxiv.org/abs/2401.10935 | paper | [] | [
"Kanzhi Cheng",
"Qiushi Sun",
"Yougang Chu",
"Fangzhi Xu",
"Yantao Li",
"Jianbing Zhang",
"Zhiyong Wu"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"c92ec9323eec9362aa07984f9fb1cbfbe98ecae426a9f8adc9d436328a87aed3","submitted_at":"2024-01-17T08:10:35Z","updated_at":"2024-02-23T04:36:51Z","version":2,"versioned_url":"https://arxiv.org/abs/2401.10935v2"},"publication":{... | [
"cross-platform"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:36:58Z","role":"primary","sha256":"c87e97eb397da04806d53145cf9c13be739fc657bb54dca9318c8c4ed2a36249","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?search_query=%28ti%3A... | {
"arxiv": "2401.10935",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:36:58Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2401.10935"},{"rel":"publication","url":"https://aclanthology.org/2024.acl-long.505/"},{"rel":"publication_pdf","url":"https://aclanthology.org/2024.acl-long.505.pdf"}] | Summary and topic tags reviewed against the primary abstract. | 2024-01-17 | [] | curated | core | Trains a screenshot-driven GUI agent with grounding pretraining and introduces ScreenSpot for evaluating interface target localization. | [
"R02.07.01.02"
] | [
"grounding",
"data-generation"
] | 2024-02-23 | null |
arxiv:2401.13178 | AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents | https://arxiv.org/abs/2401.13178 | paper | [] | [
"Chang Ma",
"Junlei Zhang",
"Zhihao Zhu",
"Cheng Yang",
"Yujiu Yang",
"Yaohui Jin",
"Zhenzhong Lan",
"Lingpeng Kong",
"Junxian He"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"22c5a60f9ed7a8488ec31fbf24d392e9674b0cae79ab1b269fd9d57202025801","submitted_at":"2024-01-24T01:51:00Z","updated_at":"2024-12-23T20:12:48Z","version":2,"versioned_url":"https://arxiv.org/abs/2401.13178v2"}} | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:24Z","role":"primary","sha256":"3aac6e9748769efff3c475ede0da192776daa03431d231b5f67e2aa50f8a3be9","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2308.03688%2C... | {
"arxiv": "2401.13178",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:24Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2401.13178"}] | Reviewed against the retained original arXiv abstract. The full paper documents search/click WebShop actions and 11 browser actions in WebArena, while the overall benchmark also covers non-web domains. | 2024-01-24 | [] | curated | adjacent | Introduces AgentBoard, a multiturn agent evaluation framework with intermediate progress metrics and analysis tools. Its broader task suite includes WebShop and WebArena interactions with stepwise progress measurements. | [
"R12.01.01.02"
] | [
"evaluation",
"observability",
"web-navigation"
] | 2024-12-23 | null |
arxiv:2401.13649 | VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks | https://arxiv.org/abs/2401.13649 | paper | [] | [
"Jing Yu Koh",
"Robert Lo",
"Lawrence Jang",
"Vikram Duvvur",
"Ming Chong Lim",
"Po-Yu Huang",
"Graham Neubig",
"Shuyan Zhou",
"Ruslan Salakhutdinov",
"Daniel Fried"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"3a705b87b43464120ebb01b28b0f6a9e31fad68f3d463c88354f2005dab940c3","submitted_at":"2024-01-24T18:35:21Z","updated_at":"2024-06-06T02:01:09Z","version":2,"versioned_url":"https://arxiv.org/abs/2401.13649v2"},"publication":{... | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:24Z","role":"primary","sha256":"3aac6e9748769efff3c475ede0da192776daa03431d231b5f67e2aa50f8a3be9","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2308.03688%2C... | {
"arxiv": "2401.13649",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:24Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2401.13649"},{"rel":"publication","url":"https://aclanthology.org/2024.acl-long.50/"},{"rel":"publication_pdf","url":"https://aclanthology.org/2024.acl-long.50.pdf"}] | Summary and topic tags reviewed against the primary abstract. | 2024-01-24 | [] | curated | core | Introduces visually grounded website tasks for evaluating multimodal agents that must interpret both images and text. | [
"R05.05.01.01"
] | [
"evaluation",
"grounding",
"web-navigation"
] | 2024-06-06 | null |
arxiv:2401.13919 | WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models | https://arxiv.org/abs/2401.13919 | paper | [] | [
"Hongliang He",
"Wenlin Yao",
"Kaixin Ma",
"Wenhao Yu",
"Yong Dai",
"Hongming Zhang",
"Zhenzhong Lan",
"Dong Yu"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"dbc7121c9606c5987df0941b849c216ad8731bebcc74a061cf3f154379d7b8da","submitted_at":"2024-01-25T03:33:18Z","updated_at":"2024-06-06T18:37:34Z","version":4,"versioned_url":"https://arxiv.org/abs/2401.13919v4"},"publication":{... | [
"web"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:36:58Z","role":"primary","sha256":"c87e97eb397da04806d53145cf9c13be739fc657bb54dca9318c8c4ed2a36249","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?search_query=%28ti%3A... | {
"arxiv": "2401.13919",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:36:58Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2401.13919"},{"rel":"publication","url":"https://aclanthology.org/2024.acl-long.371/"},{"rel":"publication_pdf","url":"https://aclanthology.org/2024.acl-long.371.pdf"}] | Summary and topic tags reviewed against the primary abstract. | 2024-01-25 | [] | curated | core | Combines multimodal web interaction with a real-website task collection and an automated evaluation protocol. | [
"R04.01.02.04"
] | [
"web-navigation",
"evaluation"
] | 2024-06-06 | null |
arxiv:2401.14268 | GPTVoiceTasker: Advancing Multi-step Mobile Task Efficiency Through Dynamic Interface Exploration and Learning | https://arxiv.org/abs/2401.14268 | paper | [] | [
"Minh Duc Vu",
"Han Wang",
"Zhuang Li",
"Jieshan Chen",
"Shengdong Zhao",
"Zhenchang Xing",
"Chunyang Chen"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"a1c95264a931b10a57ee4b364498e2d2795abaf9a3e89096a0f29d2408174693","submitted_at":"2024-01-25T16:02:56Z","updated_at":"2024-08-14T00:48:43Z","version":3,"versioned_url":"https://arxiv.org/abs/2401.14268v3"}} | [
"unspecified"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:24Z","role":"primary","sha256":"3aac6e9748769efff3c475ede0da192776daa03431d231b5f67e2aa50f8a3be9","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2308.03688%2C... | {
"arxiv": "2401.14268",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:24Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2401.14268"}] | Reviewed against the retained original arXiv abstract. | 2024-01-25 | [] | curated | core | Introduces GPTVoiceTasker, a mobile assistant that interprets user commands, executes device interactions, and learns from prior commands to streamline later task execution. The work includes a user study of task efficiency. | [
"R05.05.01.01",
"R11.07.01.01"
] | [
"mobile-navigation",
"human-in-the-loop",
"memory"
] | 2024-08-14 | null |
arxiv:2401.16158 | Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception | https://arxiv.org/abs/2401.16158 | paper | [] | [
"Junyang Wang",
"Haiyang Xu",
"Jiabo Ye",
"Ming Yan",
"Weizhou Shen",
"Ji Zhang",
"Fei Huang",
"Jitao Sang"
] | {"arxiv_snapshot":{"abstract_hash_method":"sha256-utf8-whitespace-collapsed-v1","abstract_sha256":"81ac041a3e5f98bfc23c91f768b32ad7adc3f28d8c9d55a285bb29906c8b5a9c","submitted_at":"2024-01-29T13:46:37Z","updated_at":"2024-04-18T06:53:38Z","version":2,"versioned_url":"https://arxiv.org/abs/2401.16158v2"}} | [
"android"
] | [{"method":"arxiv_api","retrieved_at":"2026-10-16T06:31:24Z","role":"primary","sha256":"3aac6e9748769efff3c475ede0da192776daa03431d231b5f67e2aa50f8a3be9","supports":["name","authors","published_at","updated_at","identifiers.arxiv","details.arxiv_snapshot"],"url":"https://export.arxiv.org/api/query?id_list=2308.03688%2C... | {
"arxiv": "2401.16158",
"doi": null,
"preferred_arxiv": null
} | 2026-10-16T06:31:24Z | {"code":null,"data":null,"document":null,"weights":null} | [{"rel":"primary","url":"https://arxiv.org/abs/2401.16158"}] | Summary and topic tags reviewed against the primary abstract. | 2024-01-29 | [] | curated | core | Uses visual perception tools and task decomposition to operate mobile applications without relying on app interface metadata. | [
"R01.11.01.01"
] | [
"mobile-navigation",
"planning"
] | 2024-04-18 | null |
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