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Cuiping Li

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Preprint Oct 2026

EG-GRPO: Evidence-Guided Step-level Credit Assignment for Deep Search Agents

LLM-based search agents demonstrate strong capabilities in long-horizon information seeking and reasoning, typically trained via reinforcement learning. However, existing approaches predominantly rely on trajectory-level outcome rewards, providing limited supervision for complex search and reasoning processes. Although...

Si-Jia Luo, Men-Jie Gao, Yu-Xiao He et al. · 0 citations
Preprint Oct 2026

Selm: Self-Evolving Library Management for Multi-Skill Agent Optimization

Large language model (LLM) agents increasingly use skills as a lightweight way to acquire task-specific knowledge. Recent work enables skills to evolve from task trajectories. However, these methods often lack systematic management of evolved skills, making it difficult for agents to reuse and accumulate skills across...

Meng-Xi Hu, Yuxuan Hu, Jinbo Su et al. · 0 citations
Preprint Aug 2026

ACTS-SQL: Agentic and Critic-Oriented Tree-Structured SQL Correctness with Large Language Models

This work presents a training-free framework that formulates SQL correction as a plan-guided, tree-structured debugging process that mitigates error accumulation during iterative refinement and demonstrates the effectiveness and stability of the approach in real-world deployments.

Xinmei Huang, Jie Song, Peng Li et al. · 0 citations

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