Attention heads in multimodal LLMs linearly encode agents' beliefs, and steering those heads along probe-derived directions improves first- and second-order belief accuracy on the new GridToM benchmark.
theory of mind
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From Black Boxes to Transparent Minds: Evaluating and Enhancing the Theory of Mind in Multimodal Large Language Models
Attention heads in multimodal LLMs linearly encode agents' beliefs, and steering those heads along probe-derived directions improves first- and second-order belief accuracy on the new GridToM benchmark.