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Ming Zhu — most-cited papers & profile · AI for Code
← authors
·
overview
Ming Zhu
36
papers ·
90
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence
2022 · 20 citations
StructCoder: Structure-Aware Transformer for Code Generation
2022 · 7 citations
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets
2024 · 4 citations
FullStack Bench: Evaluating LLMs as Full Stack Coders
2024 · 2 citations
CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction Tuning
2023 · 1 citations
LoCoBench-Agent: An Interactive Benchmark for LLM Agents in Long-Context Software Engineering
2025
LoCoBench: A Benchmark for Long-Context Large Language Models in Complex Software Engineering
2025
LoCoBench: A Benchmark for Long-Context Large Language Models in Complex Software Engineering
2025
MOSS: Enabling Code-Driven Evolution and Context Management for AI Agents
2024
Top co-authors
Caiming Xiong
· 4
Huan Wang
· 4
Jianguo Zhang
· 4
Juntao Tan
· 4
Liangwei Yang
· 4
Rithesh Murthy
· 4
Shelby Heinecke
· 4
Silvio Savarese
· 4
Weiran Yao
· 4
Zhiwei Liu
· 4
Zuxin Liu
· 4
Cheng Qian
· 3
Topics
Code Models
Software Engineering
Code Generation
Code Understanding
Code Translation
Testing
Bug Detection
instruction
large
(LLMs)