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social intelligence

topic1 events
papersSEP 10 04:00 UTC

SocialRL trains LLMs' social intelligence with multi-turn reinforcement learning and reward design

A new arXiv paper presents SocialRL, a framework that applies multi-turn reinforcement learning together with carefully designed rewards to sharpen how language models handle social context in extended conversations. The work targets agents' capacity to read situational cues, infer speaker intent, and adjust behavior over sustained dialogue, with the goal of more effective and trustworthy human-AI collaboration.

reinforcement-learning/agents/dialogue/human-ai-interaction