most citedEnhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2025

SportsGPT: An LLM-driven Framework for Interpretable Sports Motion Assessment and Training Guidance

Wenbo Tian, Ruting Lin, Hongxian Zheng +4

Existing intelligent sports analysis systems mainly focus on "scoring and visualization," often lacking automatic performance diagnosis and interpretable training guidance. Recent…

cs.SE2024★ 2 cited

Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey

Junqiao Wang, Zeng Zhang, Yangfan He +18

With the rapid evolution of large language models (LLM), reinforcement learning (RL) has emerged as a pivotal technique for code generation and optimization in various domains. Thi…