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201 | Abhinav Tirumala, Karan Patil, Abhinav Mishra, et al. Memorization without overfitting: Analyzing the training dynamics of large language models. In ICLR, 2022. | Recoverable | {
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202 | Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Singh, and Matt Gardner. Universal adversarial triggers for attacking and analyzing nlp. In EMNLP, 2019. | Recoverable | {
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203 | Jason Wei, Hyung Won Kim, Xuezhi Liu, et al. Jailbroken: How does llm safety training fail? arXiv preprint arXiv:2307.02483, 2023. | Recoverable | {
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204 | Yizhong Wang, Lianmin Zhang, Yuxuan Liang, et al. Far better than we thought: A highly strong baseline for instruction-following. arXiv preprint arXiv:2309.00615, 2023. | Unrecoverable | null | null |
205 | Jeffrey Wu, Roger Grosse, and et al. Recursively summarizing books with human feedback. arXiv preprint arXiv:2109.10862, 2021. | Recoverable | {
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206 | Nelson F. Liu Xu, Esin Durmus, Sebastian Gehrmann, Noah A. Smith, Andrew McCallum, and Yonatan Belinkov. Robustness gym: Unifying the nlp evaluation landscape. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), pp. 767-782. Association for Compu... | Recoverable | {
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207 | Han Zhang, Eric Zhang, and et al. Tempered sampling: Mitigating sampling degeneration in language generation. In NeurIPS, 2023. | Unrecoverable | null | null |
208 | Yiding Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, and Oriol Vinyals. Understanding memorization inside deep neural networks. In Proceedings of the 38th International Conference on Machine Learning (ICML), pp. 12874-12885. PMLR, 2021. URL https://proceedings. mlr.press/v139/zhang21g.html. | Unrecoverable | null | null |
209 | Wayne Zhao, Liwei Wang, Yichong Liu, et al. Do aligned language models fake alignment? arXiv preprint arXiv:2310.06695, 2023. | Unrecoverable | null | null |
210 | Han Zhou and et al. Can language models be biomedical qa systems out of the box? In EMNLP, 2022. | Unrecoverable | null | null |
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212 | Andy Zou, Tom Goldstein, Yiqin Zhou, and Matthew Jagielski. Universal and transferable adversarial attacks on aligned language models. In arXiv preprint arXiv:2307.15043, 2023. | Recoverable | {
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213 | Yang Cao, Rosa Martinez, and Sarah Thompson. Preserving indigenous languages through neural language models: Challenges and opportunities. Computational Linguistics, 49(3):567-592, 2023. | Unrecoverable | null | null |
214 | Maud Ehrmann, Matteo Romanello, Alexandre Flückiger, and Simon Clematide. Extended overview of HIPE-2022: Named entity recognition and linking in multilingual historical documents. CEUR Workshop Proceedings, 3180:1-26, 2022. | Recoverable | {
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215 | Naeem Khan, Asif Khan, Farhan Ullah, and Salman Khan. Deep learning for cultural heritage materials: A comprehensive survey. IEEE Access, 9:84252-84273, 2021. | Unrecoverable | null | null |
216 | Vincent Lai, Xiaoyuan Chen, and Zihao Wang. Machine-generated cultural narratives: Evaluation metrics and benchmarks. In Proceedings of the Conference on Computational Creativity, pp. 89-101, 2024. | Unrecoverable | null | null |
217 | Cheng Li, Mengzhou Chen, Jindong Li, Sunayana Liu, Ruoyu Xing, Xing Yuan, and Bin Zhu. CulturalLLM: Incorporating cultural differences into large language models. arXiv preprint arXiv:2410.00432, 2024. | Recoverable | {
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218 | Jing Liu, Shuai Wang, Lei Chen, and Wei Zhang. Knowledge graph construction for cultural heritage: A survey. Journal of Cultural Heritage, 57:12-28, 2022. | Unrecoverable | null | null |
219 | Tuan Nguyen, Linh Pham, and Duc Tran. CulturalBERT: Pre-training language models on southeast asian cultural texts. arXiv preprint arXiv:2309.04085, 2023. | Unrecoverable | null | null |
220 | Claude Sarthou, Elena Martinez, and Philippe Bernard. Using large language models for cultural heritage documentation: Opportunities and challenges. In Proceedings of the Digital Heritage International Congress, pp. 234-245, 2023. | Unrecoverable | null | null |
221 | Daniel Pletinckx. Virtual reconstruction of archaeological sites: From the research question to the dissemination. International Journal of Heritage in the Digital Era, 1(1):45-62, 2011. | Unrecoverable | null | null |
222 | Yu Ying Shi, Ching Nam Fung, Rui Dong Yao, Chan Qin, Jing Yu Ye, Elaine Vadrevu, and Nemo Choi. CulturalBench: A robust, diverse, and challenging benchmark on measuring the (lack of) cultural knowledge of LLMs. arXiv preprint arXiv:2410.02677, 2024. | Recoverable | {
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223 | Georgios Trichopoulos, Markos Konstantakis, and George Caridakis. HeritageGPT: Large language models for archaeological text understanding. In Proceedings of the ACM Conference on Digital Libraries, pp. 156-167, 2023. | Unrecoverable | null | null |
224 | Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian, Mark Chen, Heewoo Jun, Lukasz Kaiser, Matthias Plappert, Jerry Tworek, Jacob Hilton, Reiichiro Nakano, et al. Gsm8k: A dataset of grade school math word problems. arXiv preprint arXiv:2110.14168, 2021. | Recoverable | {
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225 | Thomas Hartvigsen, Saadia Gabriel, Hamid Palta, Senthil Rangarajan, and Arindam Mitra. Toxigen: A large-scale machine-generated dataset for adversarial and implicit hate speech detection. arXiv preprint arXiv:2203.09509, 2022. | Recoverable | {
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226 | Stephen Casper, Xander Davies, Claudia Shi, Thomas J Krendl, Matthew Chan, Rachel Freedman, Tomasz Korbak, David Kuelz, Jaime F Fisac, Dylan Hadfield-Menell, et al. Open problems and fundamental limitations of reinforcement learning from human feedback. arXiv preprint arXiv:2307.15217, 2023. | Recoverable | {
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227 | Subhabrata Mukherjee, Arindam Mitra, Ganesh Jawahar, Sahaj Agarwal, Hamid Pal, and Senthil Rangarajan. Orca: Progressive learning from complex explanation traces of gpt-4. arXiv preprint arXiv:2306.02707, 2023. | Recoverable | {
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229 | Arun James Thirunavukarasu, Darren Shu Jeng Ting, Kavya Elangovan, Laura Gutierrez, Tze-Fang Tan, and Zsolt Hodi. Large language models in medicine. Nature Medicine, 29(8):1930-1940, 2023. | Recoverable | {
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230 | Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Sha, Silvio Savarese, and Tao an. Tree of thoughts: Deliberate problem solving with large language models. arXiv preprint arXiv:2305.10601, 2023. | Recoverable | {
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231 | Amir Feder, Uri Shalit, Bernhard Sch"olkopf, and Fredrik D Johansson. Causal attention for interpretable and robust decision-making. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 35, pp. 6953-6961, 2021. URL https://ojs.aaai.org/index. php/AAAI/article/view/16851. | Unrecoverable | null | null |
232 | Atticus Geiger, Zhengxuan Wu, Yonatan Rozner, Mirac Suzgun Naveh, Anna Nagarajan, Jure Leskovec, Christopher Potts, and Noah D Goodman. Causal interpretation of self-attention in pre-trained transformers. In Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 2023. URL https://proceedings.neurips.cc/pa... | Recoverable | {
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296 | Xiaofeng Yuan, Lin Li, Yalin Wang, Chunhua Yang, and Weihua Gui. Nonlinear dynamic soft sensor modeling with supervised long short-term memory network. IEEE Transactions on Industrial Informatics, 16(5):3168-3176, 2020. | Recoverable | {
"title": "Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network",
"authors": [
"Xiaofeng Yuan",
"Lin Li",
"Yalin Wang"
],
"venue": "IEEE Transactions on Industrial Informatics",
"year": 2019
} | Xiaofeng Yuan, Lin Li, and Yalin Wang. Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network. IEEE Transactions on Industrial Informatics, 2019. |
297 | Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamas Sarlos, Peter Hawkins, Jared Davis, Afroz Mohiuddin, Lukasz Kaiser, Wojciech Paczesny, Adrian Weller, and Marc'Aurelio Ranzato. Rethinking attention with performers. In Proceedings of the 9th International Conference on Learnin... | Recoverable | {
"title": "Rethinking Attention with Performers",
"authors": [
"Krzysztof Choromanski",
"Valerii Likhosherstov",
"David Dohan",
"Xingyou Song",
"Andreea Gane",
"Tamas Sarlos",
"Peter Hawkins",
"Jared Davis",
"Afroz Mohiuddin",
"Lukasz Kaiser",
"David Belanger",
"Lucy... | Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamas Sarlos, Peter Hawkins, Jared Davis, Afroz Mohiuddin, Lukasz Kaiser, David Belanger, Lucy Colwell, and Adrian Weller. Rethinking Attention with Performers. International Conference on Learning Representations, 2020. |
298 | Xuechen Li, Juntang Zhuang, Yifan Ding, Zhaozong Jin, Yun chen Chen, and Stefanie Jegelka. Scalable gradients for stochastic differential equations. In Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics (AISTATS 2020), volume 108 of Proceedings of Machine Learning Researc... | Recoverable | {
"title": "Scalable gradients for stochastic differential equations",
"authors": [
"Xuechen Li",
"Ting-Kam Leonard Wong",
"Ricky TQ Chen",
"David Duvenaud"
],
"venue": "International conference on artificial intelligence and statistics",
"year": 2020
} | Xuechen Li, Ting-Kam Leonard Wong, Ricky TQ Chen, and David Duvenaud. Scalable gradients for stochastic differential equations. International conference on artificial intelligence and statistics, 2020. |
299 | Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dzmitry Bahdanau, Hieu Pham, Jinfeng Rao, Qin Yang, Sebastian Ruder, and Donald Metzler. Long range arena: A benchmark for efficient transformers. arXiv preprint arXiv:2011.04006, 2020. doi: 10.48550/arXiv.2011.04006. URL https://arxiv.org/abs/2011.04006. | Recoverable | {
"title": "Long Range Arena: A Benchmark for Efficient Transformers",
"authors": [
"Yi Tay",
"Mostafa Dehghani",
"Samira Abnar",
"Yikang Shen",
"Dara Bahri",
"Philip Pham",
"Jinfeng Rao",
"Liu Yang",
"Sebastian Ruder",
"Donald Metzler"
],
"venue": "International Conferen... | Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, and Donald Metzler. Long Range Arena: A Benchmark for Efficient Transformers. International Conference on Learning Representations, 2020. |
300 | L. Zheng, et al., "MT-Bench," 2023. | Unrecoverable | null | null |
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