most citedQ-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models

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cs.LG2026

HindSearch: Trajectory-Level Hindsight Critique for Search-Augmented Reinforcement Learning

Haowei Liu, Jiamian Wang, Hsin-Tai Wu +2

Search-augmented LM agents are typically trained with a binary exact-match reward, which throws away most of what a failed trajectory tells us about why it failed. We introduce Hin…