SynAct: Synergistic Active Feedback Learning for LLM Agents
arXiv:2610.12651v1 Announce Type: new Abstract: LLM agents executing multi-step workflows fail in two fundamentally different ways: recoverable slips, which further attempts can repair, and knowledge gaps, which retrying cannot resolve. Expert feedback can address the latter, but expert attention i…
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- 2026-10-12 04:00 · arXiv cs.LG
SynAct: Synergistic Active Feedback Learning for LLM Agents