Model toM accuracy on stories does not predict planning in tasks

A multi-level evaluation shows that language models can correctly infer beliefs but fail to use them in verifiable collaboration and scheduling tasks.

Chinese Tech
Zhenshuai Yin · Yongxin Guo · Mingda Zhang · Zhongze Luo · Haoyue Liu · Lianmin Zhang · +1 more

The Chinese University of Hong Kong (Shenzhen) · ByteDance Inc. · Shenzhen Research Institute of Big Data

Research Digest··1 min read
Illustration: Model toM accuracy on stories does not predict planning in tasks
Yin et al. introduce a multi-level evaluation of theory of mind that separates belief inference from its use in decision-making and task execution.

The authors extended C-WAH (household collaboration) and CalBench (calendar scheduling) by introducing asymmetric information: each agent has personal observations and communication histories, while the original goals, constraints, and validators are preserved.

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