language:
- en
pretty_name: MOSAIC
size_categories:
- n<1K
tags:
- benchmark
- conversational-memory
- multimodal
configs:
- config_name: default
data_files: []
MOSAIC
An omni-modal benchmark for long-term memory. Remember what was said, shown, and conveyed, then find where the memory failed.
Paper: arXiv:2610.29249 · Code: HKUST-KnowComp/MOSAIC · Project and leaderboard: hkust-knowcomp.github.io/MOSAIC
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 maps those paths when MOSAIC_DATA_ROOT is set to this folder.
Citation
@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}
}