most citedGraph-Reward-SQL: Execution-Free Reinforcement Learning for Text-to-SQL via Graph Matching and Stepwise Reward

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

collaborators

3 papers

cs.SE2025

Code Clone Detection via an AlphaFold-Inspired Framework

Changguo Jia, Yi Zhan, Tianqi Zhao +2

Code clone detection plays a critical role in software maintenance and vulnerability analysis. Substantial methods have been proposed to detect code clones. However, they struggle…

cs.LG2025★ 1 cited

Graph-Reward-SQL: Execution-Free Reinforcement Learning for Text-to-SQL via Graph Matching and Stepwise Reward

Han Weng, Puzhen Wu, Longjie Cui +10

Reinforcement learning (RL) has been widely adopted to enhance the performance of large language models (LLMs) on Text-to-SQL tasks. However, existing methods often rely on executi…

cs.DB2024

FuncEvalGMN: Evaluating Functional Correctness of SQL via Graph Matching Network

Yi Zhan, Yang Sun, Han Weng +7

In this paper, we propose a novel graph-based methodology to evaluate the functional correctness of SQL generation. Conventional metrics for assessing SQL code generation, such as…