Author

Qin-Wen Luo

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#artificial intelligence Preprint Oct 2026

Heterogeneous Co-Evolution Learning for Tool-Efficient Search Agents with Zero Labels

Deep search agents extend language models by interleaving reasoning with external retrieval. However, effective search-agent training requires addressing two challenges beyond final-answer optimization. First, the capability frontier of agents is largely determined by training questions, whereas fixed or labeled task c...

Qin-Wen Luo, Sheng Ren, Xiang Chen et al. · 0 citations

#machine learning Preprint Oct 2026

Teacher-Guided Tool Learning for Small Language Models via Bidirectional KL Constraints

External tools can extend the capabilities of small language models (SLMs), enabling their deployment in resource constrained environments. However, their limited capabilities make it difficult for SLMs to discover effective tool use behaviors through reinforcement learning alone, while direct teacher supervision suffe...

Hao-Xuan Gao, Qin-Wen Luo, Xiang Chen et al. · 0 citations