Mingwei Liu

Orcid: 0000-0002-3462-997X

Affiliations:
  • School of Software Engineering, Sun Yat-Sen University, China
  • Fudan University, School of Computer Science, Shanghai, China (PhD 2022)


According to our database1, Mingwei Liu authored at least 42 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
EvolMathEval: Towards Evolvable Benchmarks for Mathematical Reasoning via Evolutionary Testing.
CoRR, August, 2025

A Hierarchical and Evolvable Benchmark for Fine-Grained Code Instruction Following with Multi-Turn Feedback.
CoRR, July, 2025

Towards Better Code Generation: Adaptive Decoding with Uncertainty Guidance.
CoRR, June, 2025

Code Copycat Conundrum: Demystifying Repetition in LLM-based Code Generation.
CoRR, April, 2025

FeedbackEval: A Benchmark for Evaluating Large Language Models in Feedback-Driven Code Repair Tasks.
CoRR, April, 2025

What to Retrieve for Effective Retrieval-Augmented Code Generation? An Empirical Study and Beyond.
CoRR, March, 2025

Enhancing the Robustness of LLM-Generated Code: Empirical Study and Framework.
CoRR, March, 2025

Enhancing LLM-based Code Translation in Repository Context via Triple Knowledge-Augmented.
CoRR, March, 2025

RustEvo<sup>2</sup>: An Evolving Benchmark for API Evolution in LLM-based Rust Code Generation.
CoRR, March, 2025

Code Digital Twin: Empowering LLMs with Tacit Knowledge for Complex Software Maintenance.
CoRR, March, 2025

How Should I Build A Benchmark? Revisiting Code-Related Benchmarks For LLMs.
CoRR, January, 2025

Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models.
Proc. ACM Softw. Eng., 2025

TIGER: A Generating-Then-Ranking Framework for Practical Python Type Inference.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

2024
Evaluating and Improving ChatGPT for Unit Test Generation.
Proc. ACM Softw. Eng., 2024

Repository-level Code Translation Benchmark Targeting Rust.
CoRR, 2024

Are Decoder-Only Large Language Models the Silver Bullet for Code Search?
CoRR, 2024

Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models.
CoRR, 2024

Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG.
CoRR, 2024

STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis.
CoRR, 2024

Evaluating Large Language Models in Class-Level Code Generation.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023
XCoS: Explainable Code Search Based on Query Scoping and Knowledge Graph.
ACM Trans. Softw. Eng. Methodol., November, 2023

Task-Oriented ML/DL Library Recommendation Based on a Knowledge Graph.
IEEE Trans. Software Eng., August, 2023

Resolving Crash Bugs via Large Language Models: An Empirical Study.
CoRR, 2023

ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation.
CoRR, 2023

Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation.
CoRR, 2023

No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation.
CoRR, 2023

KG4CraSolver: Recommending Crash Solutions via Knowledge Graph.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Recommending Analogical APIs via Knowledge Graph Embedding.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

CodeGen4Libs: A Two-Stage Approach for Library-Oriented Code Generation.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Knowledge Graph based Explainable Question Retrieval for Programming Tasks.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

2022
API-Related Developer Information Needs in Stack Overflow.
IEEE Trans. Software Eng., 2022

How to formulate specific how-to questions in software development?
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

2021
Learning-based extraction of first-order logic representations of API directives.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

2020
API method recommendation via explicit matching of functionality verb phrases.
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Generating Concept based API Element Comparison Using a Knowledge Graph.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Learning based and Context Aware Non-Informative Comment Detection.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

Source Code based On-demand Class Documentation Generation.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

2019
A learning-based approach for automatic construction of domain glossary from source code and documentation.
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Generating query-specific class API summaries.
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

2018
Searching StackOverflow Questions with Multi-Faceted Categorization.
Proceedings of the Tenth Asia-Pacific Symposium on Internetware, 2018

Automatic Generation of API Documentations for Open-Source Projects.
Proceedings of the IEEE Third International Workshop on Dynamic Software Documentation, 2018

Improving API Caveats Accessibility by Mining API Caveats Knowledge Graph.
Proceedings of the 2018 IEEE International Conference on Software Maintenance and Evolution, 2018


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