2026
TAPO: Dynamic Teacher and Perturbed Answer Injection for Policy Optimization
AAAI 2026technical
Reinforcement learning (RL) has emerged as a powerful framework to improve the reasoning performance of large language models (LLMs), with approaches such as Group Relative Policy Optimization (GRPO) showing promising results. However, GRPO and its variants struggle with collapsed groups (i.e., all-