6 citations · 8 across the 7 of their papers we have counts for
4 papers · 1 filter
Beyond Execution: Static-Analysis Rewards and Hint-Conditioned Diffusion RL for Code Generation
Shuyin Ouyang, Zhaozhi Qian, Faroq AL-Tam +2
Reinforcement Learning (RL) is an important paradigm for aligning Diffusion Language Models (DLMs) toward functional correctness in code generation. However, these models often enc…
Benchmarking and Evaluating VLMs for Software Architecture Diagram Understanding
Shuyin Ouyang, Jie M. Zhang, Jingzhi Gong +7
Software architecture diagrams are important design artifacts for communicating system structure, behavior, and data organization throughout the software development lifecycle. Alt…
DSCodeBench: A Realistic Benchmark for Data Science Code Generation
Shuyin Ouyang, Dong Huang, Jingwen Guo +3
We introduce DSCodeBench, a new benchmark designed to evaluate large language models (LLMs) on complicated and realistic data science code generation tasks. DSCodeBench consists of…
Knowledge-Enhanced Program Repair for Data Science Code
Shuyin Ouyang, Jie M. Zhang, Zeyu Sun +1
This paper introduces DSrepair, a knowledge-enhanced program repair method designed to repair the buggy code generated by LLMs in the data science domain. DSrepair uses knowledge g…