LLM-based agents increasingly collaborate with users on long-horizon tasks, accumulating evidence, code, and drafts through extensive search, reasoning, and execution. As users inspect these results, they may supply missing information requirement completion, introduce new requirements requirement elicitation, or revis...
Zhi-Bang Yang, Xin-Ke Jiang, Yuxuan Liu et al.· 0 citations
LoongReflect is proposed, a training framework that formulates reflection as a memory-control policy over a reversible trajectory tree using explicit reflect and backtrack actions and demonstrates consistent improvements over outcome-only reinforcement learning and self-distillation baselines.
Zhi-Xin Zhang, Xin-Ke Jiang, Zhi-Bang Yang et al.· 0 citations
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