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HI-TOM: A Benchmark for Evaluating Higher-Order Theory of Mind Reasoning in Large Language Models (2310.16755v1)
Published 25 Oct 2023 in cs.CL and cs.AI
Abstract: Theory of Mind (ToM) is the ability to reason about one's own and others' mental states. ToM plays a critical role in the development of intelligence, language understanding, and cognitive processes. While previous work has primarily focused on first and second-order ToM, we explore higher-order ToM, which involves recursive reasoning on others' beliefs. We introduce HI-TOM, a Higher Order Theory of Mind benchmark. Our experimental evaluation using various LLMs indicates a decline in performance on higher-order ToM tasks, demonstrating the limitations of current LLMs. We conduct a thorough analysis of different failure cases of LLMs, and share our thoughts on the implications of our findings on the future of NLP.
- Yinghui He (15 papers)
- Yufan Wu (4 papers)
- Yilin Jia (3 papers)
- Rada Mihalcea (131 papers)
- Yulong Chen (32 papers)
- Naihao Deng (20 papers)