most citedProcess-Supervised Reinforcement Learning for Code Generation

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.IR2025

GNN-Coder: Boosting Semantic Code Retrieval with Combined GNNs and Transformer

Yufan Ye, Pu Pang, Ting Zhang +1

Code retrieval is a crucial component in modern software development, particularly in large-scale projects. However, existing approaches relying on sequence-based models often fail…

cs.CV2025

MagicGeo: Training-Free Text-Guided Geometric Diagram Generation

Junxiao Wang, Ting Zhang, Heng Yu +2

Geometric diagrams are critical in conveying mathematical and scientific concepts, yet traditional diagram generation methods are often manual and resource-intensive. While text-to…

cs.SE2025★ 1 cited

Process-Supervised Reinforcement Learning for Code Generation

Yufan Ye, Ting Zhang, Wenbin Jiang +1

Existing reinforcement learning strategies based on outcome supervision have proven effective in enhancing the performance of large language models(LLMs) for code generation. While…