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SCAI-JHU/MUMA-TOM-BENCHMARK

MuMA-ToM: Multi-modal Multi-Agent Theory of Mind AAAI 2025 (Oral) [🏠Homepage] [💻Code] [📝Paper] 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: It is factually correct, concise, and readable. It requires integrating information from multiple modalities to answer the questions. It tests understanding of multi-agent interactions… See the full description on the dataset page: https://huggingface.co/datasets/SCAI-JHU/MUMA-TOM-BENCHMARK.

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MuMA-ToM: Multi-modal Multi-Agent Theory of Mind <br> <sub> AAAI 2025 (Oral) </sub>

[\[🏠Homepage\]](https://scai.cs.jhu.edu/projects/MuMA-ToM/) [\[💻Code\]](https://github.com/SCAI-JHU/MuMA-ToM) [\[📝Paper\]](https://arxiv.org/abs/2408.12574)

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:

  1. 1.It is factually correct, concise, and readable.
  2. 2.It requires integrating information from multiple modalities to answer the questions.
  3. 3.It tests understanding of multi-agent interactions, including beliefs, social goals, and beliefs about others' goals.

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Citation

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bibtex
@inproceedings{shi2025muma,
  title={Muma-tom: Multi-modal multi-agent theory of mind},
  author={Shi, Haojun and Ye, Suyu and Fang, Xinyu and Jin, Chuanyang and Isik, Leyla and Kuo, Yen-Ling and Shu, Tianmin},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={39},
  number={2},
  pages={1510--1519},
  year={2025}
}