EmoDistill: Offline Emotion Skill Distillation for Language Model Agents in Adversarial Negotiation 事件

EmoDistill: Offline Emotion Skill Distillation for Language Model Agents in Adversarial Negotiation arXiv:2605.26785v1 Announce Type: new Abstract: Post-trained LLMs are often optimized to align responses with human preferences, making them safe, polite, and conversationally appropriate. In adversarial negotiation, however, this alignment can become a vulnerability: emotionally framed language may steer agents toward the counterparty's interests. Using GoEmotions-based affective prompting, we s