ToM2Vec learns continuous theory-of-mind tokens for agents
Latent tokens conditioned thoughts and actions and transferred to unseen partner models, including GPT-5.4.
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Latent tokens conditioned thoughts and actions and transferred to unseen partner models, including GPT-5.4.
A mental-model framework gives agents explicit Theory-of-Mind partner states that improve multi-agent decisions.
Mind2Dialogue simulates users' mental states to create privileged supervision, boosting personalization metrics of Qwen, Llama, and OLMo assistants by up to 40.9 points.
Mind2Dialogue simulates users' mental states to generate privileged supervision, boosting personalization and preference-following in Qwen, Llama, and OLMo assistants.
Probing finds transformers represent an inferred dialogue partner's expertise in early layers long before it causally influences output.
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