Author

Yun-Nung Chen

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#natural language process... Dec 2025

AdaSearch: Balancing Parametric Knowledge and Search in Large Language Models via Reinforcement Learning

AdaSearch is proposed, a simple two-stage, outcome-driven RL framework that disentangles problem-solving from the decision to search, making the decision process explicit and interpretable and significantly improves search-decision quality and reduces unnecessary search calls.

Tzu-Han Lin, Wei-Lin Chen, Chen-An Li et al. · arXiv.org · 5 citations

Preprint Aug 2026

Joint Optimization of Tool Creation and Use for Large Language Model Agents

A reinforcement learning framework that jointly trains tool creation and tool use inside a single policy, with three separate reward axes that catch schema, code, and outcome failures independently, so each failure mode contributes its own gradient.

Zhi Rui Tam, Chieh-Yen Lin, Yun-Nung Chen et al. · 2 citations