AI RESEARCH
Mitigating Lost in Multi-turn Conversation via Curriculum RL with Verifiable Accuracy and Abstention Rewards
arXiv CS.LG
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ArXi:2510.18731v2 Announce Type: replace-cross Large Language Models nstrate strong capabilities in single-turn instruction following but suffer from Lost-in-Conversation (LiC), a degradation in performance as information is revealed progressively in multi-turn settings.