1 citations · 1 across the 2 of their papers we have counts for
4 papers
Generating High-Quality Datasets for Code Editing via Open-Source Language Models
Zekai Zhang, Mingwei Liu, Zhenxi Chen +7
Code editing plays a vital role in software engineering, requiring developers to adjust existing code according to natural language instructions while keeping functionality intact…
RustEvo^2: An Evolving Benchmark for API Evolution in LLM-based Rust Code Generation
Linxi Liang, Jing Gong, Mingwei Liu +5
Large Language Models (LLMs) have become pivotal tools for automating code generation in software development. However, these models face significant challenges in producing versio…
Evolving Triple Knowledge-Augmented LLMs for Code Translation in Repository Context
Guangsheng Ou, Mingwei Liu, Yuxuan Chen +5
Large language models (LLMs) have behaved well in function-level code translation without repository-level context. However, the performance of LLMs in repository-level context cod…
RustRepoTrans: Repository-level Code Translation Benchmark Targeting Rust
Guangsheng Ou, Mingwei Liu, Yuxuan Chen +3
Recent advancements in large language models (LLMs) have demonstrated impressive capabilities in code translation, typically evaluated using benchmarks like CodeTransOcean and Repo…