3 papers
cs.LG2026
I-SDPO: Instance-Level Adaptive Self-Distillation Policy Optimization
Yubo Zhang, Xinhong Ma, Zezhong Tan +1
Group Relative Policy Optimization (GRPO) learns from reward differences within a rollout group, but receives no useful relative signal when every sampled response is incorrect. Pr…
cs.CV2026
ADHint: Adaptive Hints with Difficulty Priors for Reinforcement Learning
Feng Zhang, Zezhong Tan, Xinhong Ma +5
To address the limited capability expansion and low sample efficiency of Reinforcement Learning (RL), recent methods have integrated ''hints'' into post-training, which are prefix…
cs.AI2025
Towards Flash Thinking via Decoupled Advantage Policy Optimization
Zezhong Tan, Hang Gao, Xinhong Ma +2
Recent Large Reasoning Models (LRMs) have achieved remarkable performance in solving complex problems via supervised fine-tuning (SFT) and reinforcement learning (RL). Although exi…