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Sagan

Paper

Retrospective Progress-Aware Self-Refinement for LLM Agent Training

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AI summary

arXiv:2606. 14302v1 Announce Type: new Abstract: LLM-based agents trained with reinforcement learning optimize step-wise action prediction but lack metacognitive awareness of task progress, inducing a gap that hinders long-horizon scaling.