Refining LLMs' social intelligence through multi-turn reinforcement learning and reward design
Read the original at arxiv.org→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...
Original headline: "SocialRL: Refining LLMs' Social Intelligence through Multi-turn Reinforcement Learning and Reward Design"
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- Sep 10, 04:00 UTC arXiv cs.CL lead source SocialRL: Refining LLMs' Social Intelligence through Multi-turn Reinforcement Learning and Reward Design