Awesome AI for Code
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Philip S. Yu — most-cited papers & profile · AI for Code
← authors
·
overview
Philip S. Yu
90
papers ·
2961
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
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability
2023 · 61 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
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
Hai Jin
· 2
Hongyu Zhang
· 2
Yulei Sui
· 2
Aiwei Liu
· 1
Bowei He
· 1
Caiming Xiong
· 1
Chin-Yuan Yeh
· 1
Chunyu Miao
· 1
Dianzhi Yu
· 1
Fangxin Wang
· 1
Topics
Code Models
Code Generation
Code Understanding
Software Engineering
Testing
Survey Paper