Collaborative Theory of Mind trains LLMs to anticipate user responses for better multi-turn collaboration; arXiv 2610.12872v1
Read the original at arxiv.org→arXiv:2610.12872v1 Announce Type: new Abstract: Large language models (LLMs) demonstrate strong individual task performance, yet still struggle to collaborate with users over extended, multi-turn interactions, for...
Original headline: "Collaborative Theory of Mind: Learning to Self-Revise by Anticipating User Responses"
Coverage timeline
- Oct 12, 04:00 UTC arXiv cs.AI lead source Collaborative Theory of Mind: Learning to Self-Revise by Anticipating User Responses
- Oct 12, 04:00 UTC arXiv cs.AI Collaborative Learning and Reasoning over Model Slices
- Oct 12, 04:00 UTC arXiv cs.AI Learning More by Training Less: Uncertainty-Guided Progressive Contraction for Efficient Reasoning Post-Training