Large Language Models

Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling
Software issue resolution is a critical challenge in software engineering and has garnered increasing attention in recent years. With …
Trae Research Team, Pengfei Gao, Zhao Tian, Xiangxin Meng, Xinchen Wang, Ruida Hu, Yuanan Xiao, Yizhou Liu, Zhao Zhang, Junjie Chen, Cuiyun Gao, Yun Lin, Yingfei Xiong, Chao Peng, Xia Liu
PDF Cite Code DOI
SoRFT: Issue Resolving with Subtask-oriented Reinforced Fine-Tuning
Mainstream issue-resolving frameworks predominantly rely on commercial models, leading to high costs and privacy concerns. Existing …
Zexiong Ma, Chao Peng, Pengfei Gao, Xiangxin Meng, Yanzhen Zou, Bing Xie
PDF Cite DOI
An LLM-based Agent for Reliable Docker Environment Configuration
Environment configuration is a critical yet time-consuming step in software development, especially when dealing with unfamiliar code …
Ruida Hu, Chao Peng, Xinchen Wang, Cuiyun Gao
PDF Cite Code DOI
A Real-World Benchmark for Evaluating Fine-Grained Issue Solving Capabilities of Large Language Models
Automatically resolving software issues is crucial for software development in practice, impacting the software quality and user …
Ruida Hu, Chao Peng, Jingyi Ren, Bo Jiang, Xiangxin Meng, Qinyun Wu, Pengfei Gao, Xinchen Wang, Cuiyun Gao
PDF Cite DOI
AEGIS: An Agent-based Framework for General Bug Reproduction from Issue Descriptions
In software maintenance, bug reproduction is essential for effective fault localization and repair. Manually writing reproduction …
Xinchen Wang, Pengfei Gao, Xiangxin Meng, Chao Peng, Ruida Hu, Yun Lin, Cuiyun Gao
PDF Cite DOI
ContextModule: Improving Code Completion via Repository-level Contextual Information
Large Language Models (LLMs) have demonstrated impressive capabilities in code completion tasks, where they assist developers by …
Zhanming Guan, Junlin Liu, Jierui Liu, Chao Peng, Dexin Liu, Ningyuan Sun, Bo Jiang, Wenchao Li, Jie Liu, Hang Zhu
PDF Cite DOI
An Empirical Study on LLM-based Agents for Automated Bug Fixing
Large language models (LLMs) and LLM-based Agents have been applied to fix bugs automatically, demonstrating the capability in …
Xiangxin Meng, Zexiong Ma, Pengfei Gao, Chao Peng
PDF Cite DOI
MarsCode Agent: AI-native Automated Bug Fixing
Recent advances in large language models (LLMs) have shown significant potential to automate various software development tasks, …
Yizhou Liu, Pengfei Gao, Xinchen Wang, Jie Liu, Yexuan Shi, Zhao Zhang, Chao Peng
PDF Cite DOI