1 citations · 2 across the 15 of their papers we have counts for
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FastContext: Training Efficient Repository Explorer for Coding Agents
Shaoqiu Zhang, Maoquan Wang, Yuling Shi +12
Large Language Model (LLM) coding agents have achieved strong results on software engineering tasks, yet repository exploration remains a major bottleneck: locating relevant code c…
SWE-Edit: Rethinking Code Editing for Efficient SWE-Agent
Yikai Zhang, Jiaxin Pei, Kenan Li +9
Large language model agents have made strong progress on software engineering, yet current systems suffer from a context coupling problem: the standard code editing interface confl…
RepoLaunch: Automating Build and Management of Code Repositories across Languages and Platforms
Kenan Li, Rongzhi Li, Linghao Zhang +17
Language model (LM) agents have driven substantial progress in automated software engineering (SWE), yet building and testing software repositories at scale remains a largely manua…
Debug2Fix: Can Interactive Debugging Help Coding Agents Fix More Bugs?
Spandan Garg, Yufan Huang
While significant progress has been made in automating various aspects of software development through coding agents, there is still significant room for improvement in their bug f…
Saving SWE-Bench: A Benchmark Mutation Approach for Realistic Agent Evaluation
Spandan Garg, Benjamin Steenhoek, Yufan Huang
Current benchmarks for evaluating software engineering agents, such as SWE-Bench Verified, are predominantly derived from GitHub issues and fail to accurately reflect how developer…
SWE-bench Goes Live!
Linghao Zhang, Shilin He, Chaoyun Zhang +12
The issue-resolving task, where a model generates patches to fix real-world bugs, has emerged as a critical benchmark for evaluating the capabilities of large language models (LLMs…
Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation
Xing Zhang, Jiaheng Wen, Fangkai Yang +11
The advancement of large language models has intensified the need to modernize enterprise applications and migrate legacy systems to secure, versatile languages. However, existing…
SUT: Active Defects Probing for Transcompiler Models
Mengnan Qi, Yufan Huang, Maoquan Wang +5
Automatic Program translation has enormous application value and hence has been attracting significant interest from AI researchers. However, we observe that current program transl…
Program Translation via Code Distillation
Yufan Huang, Mengnan Qi, Yongqiang Yao +4
Software version migration and program translation are an important and costly part of the lifecycle of large codebases. Traditional machine translation relies on parallel corpora…