SocialRL: Refining LLMs' Social Intelligence through Multi-turn Reinforcement Learning and Reward Design
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arXiv:2609.09764v1 Announce Type: new Abstract: Social intelligence enables agents to read social context, infer intent, and adapt over sustained dialogue. As language models become autonomous collaborators, it is central to building effective and trustworthy human-AI interaction. Existing reinforc…
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- 2026-09-10 04:00 · arXiv cs.CL
SocialRL: Refining LLMs' Social Intelligence through Multi-turn Reinforcement Learning and Reward Design