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ToMBench: Benchmarking Theory of Mind in Large Language Models
Feb. 26, 2024, 5:48 a.m. | Zhuang Chen, Jincenzi Wu, Jinfeng Zhou, Bosi Wen, Guanqun Bi, Gongyao Jiang, Yaru Cao, Mengting Hu, Yunghwei Lai, Zexuan Xiong, Minlie Huang
cs.CL updates on arXiv.org arxiv.org
Abstract: Theory of Mind (ToM) is the cognitive capability to perceive and ascribe mental states to oneself and others. Recent research has sparked a debate over whether large language models (LLMs) exhibit a form of ToM. However, existing ToM evaluations are hindered by challenges such as constrained scope, subjective judgment, and unintended contamination, yielding inadequate assessments. To address this gap, we introduce ToMBench with three key characteristics: a systematic evaluation framework encompassing 8 tasks and 31 …
abstract arxiv benchmarking capability challenges cognitive cs.ai cs.cl form language language models large language large language models llms mind research theory theory of mind tom type
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