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+ ---
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+ license: mit
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+ language:
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+ - en
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+ task_categories:
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+ - question-answering
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+ tags:
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+ - Multi-modal
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+ - Multi-agent
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+ - Theory_of_Mind
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+ size_categories:
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+ - n<1K
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+ ---
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+
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+ ## MuMA-ToM: Multi-modal Multi-Agent Theory of Mind <br> <sub> AAAI 2025 (Oral) </sub>
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+
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+ [\[🏠Homepage\]](https://scai.cs.jhu.edu/projects/MuMA-ToM/) [\[💻Code\]](https://github.com/SCAI-JHU/MuMA-ToM) [\[📝Paper\]](https://arxiv.org/abs/2408.12574)
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+
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+ MuMA-ToM is the first multi-modal Theory of Mind benchmark designed to evaluate mental reasoning in embodied multi-agent interactions. The benchmark was designed with several key features in mind:
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+
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+ 1. It is factually correct, concise, and readable.
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+ 2. It requires integrating information from multiple modalities to answer the questions.
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+ 3. It tests understanding of multi-agent interactions, including beliefs, social goals, and beliefs about others' goals.
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+
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+ ## Leaderboard
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+ Here is the [**leaderboard**](https://scai.cs.jhu.edu/projects/MuMA-ToM/leaderboard.html) for MuMA-ToM. Please contact us if you'd like to add your results.
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+
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+
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+ ## Citation
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+ Please cite the paper if you find it interesting/useful, thanks!
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+ ```bibtex
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+ @inproceedings{shi2025muma,
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+ title={Muma-tom: Multi-modal multi-agent theory of mind},
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+ author={Shi, Haojun and Ye, Suyu and Fang, Xinyu and Jin, Chuanyang and Isik, Leyla and Kuo, Yen-Ling and Shu, Tianmin},
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+ booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
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+ volume={39},
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+ number={2},
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+ pages={1510--1519},
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+ year={2025}
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+ }
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+ ```