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Author

Xiong Li

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Conference Aug 2026

CM-USR: Critical-Missing Calibrated User-State Regeneration for Lost-in-Conversation

Large language models (LLMs) often solve a fully specified instruction but fail when the same evidence arrives over multiple turns, a failure known as Lost-in-Conversation (LiC). We present CM-USR, a multi-agent inference-time systems that combines Critical-Missing (CM) calibration with User State and Regeneration (USR...

Ya-Qian Xu, Xiong Li · 0 citations

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