| --- |
| language: |
| - en |
| pretty_name: MOSAIC |
| size_categories: |
| - n<1K |
| tags: |
| - benchmark |
| - conversational-memory |
| - multimodal |
| configs: |
| - config_name: default |
| data_files: [] |
| --- |
| |
| # MOSAIC |
|
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| **An omni-modal benchmark for long-term memory.** Remember what was said, shown, and conveyed, then find where the memory failed. |
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| Paper: [arXiv:2610.29249](https://arxiv.org/abs/2610.29249) · Code: [HKUST-KnowComp/MOSAIC](https://github.com/HKUST-KnowComp/MOSAIC) · Project and leaderboard: [hkust-knowcomp.github.io/MOSAIC](https://hkust-knowcomp.github.io/MOSAIC/) |
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|  |
|
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| MOSAIC is 923 questions over histories of text, image, video, and audio. A single end-to-end score cannot say where the evidence was lost, so the benchmark holds the question fixed and separates four stages: **write**, **retrieve**, **deliver**, and **read**. |
|
|
| | | | |
| | --- | ---: | |
| | Questions | 923 | |
| | Answerable / refusal | 784 / 139 | |
| | Sessions per history | 11–24 | |
| | Modalities | Text, image, video, audio | |
|
|
| On the end-to-end leaderboard, ReAct with native multimodal memory and MiMo-V2.5 scores **0.732** on the 784 answerable questions. With the reader fixed at Gemini 3.5, A-MEM on caption text leads at **0.684**. Correct refusal and false refusal are reported beside the end-to-end score, because refusing everything is not a better memory. |
|
|
| ## Layout |
|
|
| | Directory | Contents | |
| |---|---| |
| | `dataset/stage2_human_filtered/` | 923 questions | |
| | `dataset/media/` | images, audio, and video | |
| | `dataset/textualized_caption/` | caption-text corpus | |
| | `dataset/textualized_omni/` | omni-text corpus | |
| | `indexes/` | RAG, A-MEM, and MemoryOS indexes | |
| | `records/protocol_v1/` | paper evaluation records | |
|
|
| Question files store `media_path` values whose `clean_output/media/` suffix matches `dataset/media/`. The [evaluation code](https://github.com/HKUST-KnowComp/MOSAIC) maps those paths when `MOSAIC_DATA_ROOT` is set to this folder. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{tsang2026mosaic, |
| title = {{MOSAIC}: An Omni-Modal Benchmark for Long-Term Memory and Cross-Modal Reasoning in Conversational Agents}, |
| author = {Tsang, Hong Ting and Zhang, Boyi and Huang, Haoyu and Bai, Jiaxin and Li, Yufei and Gao, Yisen and Xie, Zhongwei and Luo, Hongyu and Pan, Jeff Z. and Song, Yangqiu}, |
| year = {2026}, |
| eprint = {2610.29249}, |
| archivePrefix = {arXiv}, |
| primaryClass = {cs.CL}, |
| doi = {10.48550/arXiv.2610.29249}, |
| url = {https://arxiv.org/abs/2610.29249} |
| } |
| ``` |
|
|
