2 papers
cs.CL2026
Improving Reasoning Ability via Asynchronous On-Policy Self-Distillation under Positive Rollouts
Mingwei Xu, Hao Fang
Distillation and reinforcement learning through verifiable rewards (RLVR) have achieved progress in enhancing the reasoning ability of large language models (LLMs). However, we not…
eess.SY2025
Power Allocation for Delay Optimization in Device-to-Device Networks: A Graph Reinforcement Learning Approach
Hao Fang, Kai Huang, Hao Ye +4
The pursuit of rate maximization in wireless communication frequently encounters substantial challenges associated with user fairness. This paper addresses these challenges by expl…