3 citations · 3 across the 4 of their papers we have counts for
4 papers · 1 filter
Better Understanding, Better Fixes? A Study of Hallucination in LLM-based Automated Program Repair
Xuemeng Cai, Jiakun Liu, Linhan Yang +2
Large language models (LLMs) have significantly advanced automated program repair (APR), yet existing evaluations remain largely result-centric and provide limited insight into hal…
Exploration Structure in LLM Agents for Multi-File Change Localization
Akeela Darryl Fattha, Kia Ying Chua, Lingxiao Jiang +1
Software engineering tools increasingly rely on LLM based agents to localize files to change to resolve a software issue. Most AI agents explore repositories linearly, that is, vis…
Adapting Knowledge Prompt Tuning for Enhanced Automated Program Repair
Xuemeng Cai, Lingxiao Jiang
Automated Program Repair (APR) aims to enhance software reliability by automatically generating bug-fixing patches. Recent work has improved the state-of-the-art of APR by fine-tun…
RustMap: Towards Project-Scale C-to-Rust Migration via Program Analysis and LLM
Xuemeng Cai, Jiakun Liu, Xiping Huang +6
Migrating existing C programs into Rust is increasingly desired, as Rust offers superior memory safety while maintaining C's high performance. However, vastly different features be…