2 citations · 10 across the 31 of their papers we have counts for
4 papers · 1 filter
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…
Are Decoder-Only Large Language Models the Silver Bullet for Code Search?
Yuxuan Chen, Mingwei Liu, Guangsheng Ou +4
Code search is essential for code reuse, allowing developers to efficiently locate relevant code snippets. The advent of powerful decoder-only Large Language Models (LLMs) has revo…
Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models
Yanlin Wang, Tianyue Jiang, Mingwei Liu +5
Large language models (LLMs) have brought a paradigm shift to the field of code generation, offering the potential to enhance the software development process. However, previous re…
CoSQA+: Pioneering the Multi-Choice Code Search Benchmark with Test-Driven Agents
Jing Gong, Yanghui Wu, Linxi Liang +4
Semantic code search, retrieving code that matches a given natural language query, is an important task to improve productivity in software engineering. Existing code search datase…