Artificial Intelligence #reinforcement learning#tool-use distillation
MENTOR: Reinforcement Learning via Flexible Teacher-Optimized Rewards for Tool-Use Distillation
A new research paper introduces MENTOR, a reinforcement learning framework that uses flexible teacher-optimized rewards to distill tool-use capabilities from large language models into small models. The approach improves out-of-domain generalization compared to supervised fine-tuning and strict reinforcement learning baselines.
Jul 8, 2026 1 source