AINeutralarXiv – CS AI · Apr 146/10
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Discourse Diversity in Multi-Turn Empathic Dialogue
Researchers demonstrate that large language models exhibit excessive repetition of discourse tactics in multi-turn empathic conversations, reusing communication strategies at nearly double the human rate. They introduce MINT, a reinforcement learning framework that optimizes for both empathy quality and discourse move diversity, achieving 25.3% improvements in empathy while reducing repetitive tactics by 26.3%.