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Philip S. Yu — most-cited papers & profile · AI for Code
← authors
·
overview
Philip S. Yu
203
papers ·
5193
citations ·
169
h-index
University of Illinois Urbana-Champaign · University of Illinois System · California State University, Chico · University of Illinois Chicago · University of Chicago · Southwest Jiaotong University
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Most-cited papers
A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability
2023 · 61 citations
MultiFileTest: A Multi-File-Level LLM Unit Test Generation Benchmark and Impact of Error Fixing Mechanisms
2025 · 2 citations
NaturalCC: A Toolkit to Naturalize the Source Code Corpus
2020 · 1 citations
kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning
2023 · 1 citations
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
2024 · 1 citations
RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback
2025
MARCO: Meta-Reflection with Cross-Referencing for Code Reasoning
2025
Improving Automatic Source Code Summarization via Deep Reinforcement Learning
2018
Can Large Language Models Serve as Evaluators for Code Summarization?
2024
Top co-authors
Yao Wan
· 5
Guandong Xu
· 3
Wenting Zhao
· 3
Yibo Wang
· 3
Chunyu Miao
· 2
Hai Jin
· 2
Hongyu Zhang
· 2
Jiangshu Du
· 2
Yang He
· 2
Ye Liu
· 2
Yulei Sui
· 2
Zhongfen Deng
· 2
Topics
Code Models
Code Generation
Software Engineering
Code Understanding
Testing
Program Repair
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