Skip to content

Author

Tzu-Han Lin

1 paper indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

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. · 5 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.