Mind the Perspective: Let's Reason Recursively for Theory of Mind
Quick Answer
RecToM introduces a recursive perspective construction framework for Theory of Mind (ToM) reasoning, outperforming advanced models like GPT-5.4 and Qwen3.5 with 100% accuracy on the Hi-ToM benchmark.
Quick Take
This method effectively models nested beliefs, addressing challenges in inferring agents' beliefs from limited observations.
Key Points
- RecToM models nested beliefs through recursive perspective construction.
- Achieves state-of-the-art performance on ToM benchmarks like Hi-ToM and Big-ToM.
- Outperforms recent advanced approaches consistently across multiple backbones.
- KD45 analysis shows well-formed belief modality beyond simple event filtering.
- 100% accuracy on Hi-ToM with GPT-5.4 and Qwen3.5 demonstrates effectiveness.
Paper Resources
Source Excerpt
arXiv:2606. 11724v1 Announce Type: new Abstract: Theory of Mind (ToM) reasoning requires inferring agents' beliefs from partial and asymmetric observations, which remains an open challenge for . Existing prompting-based approaches improve ToM reasoning through observable-event filtering or temporal belief chains, without explicitly modeling nested beliefs. We introduce RecToM, an inference-time framework for ToM reasoning that models nested beliefs via recursive perspective construction. …
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