4 papers
An Efficient, Reliable and Observable Collective Communication Library in Large-scale GPU Training Clusters
Mingjun Zhang, Xiaohe Hu, Menghao Zhang +21
Large-scale LLM training requires collective communication libraries to exchange data among distributed GPUs. As a company dedicated to building and operating large-scale GPU train…
VulnResolver: A Hybrid Agent Framework for LLM-Based Automated Vulnerability Issue Resolution
Mingming Zhang, Xu Wang, Jian Zhang +3
As software systems grow in complexity, security vulnerabilities have become increasingly prevalent, posing serious risks and economic costs. Although automated detection tools suc…
InfCode-C++: Intent-Guided Semantic Retrieval and AST-Structured Search for C++ Issue Resolution
Qingao Dong, Mengfei Wang, Hengzhi Zhang +7
Large language model (LLM) agents have recently shown strong performance on repository-level issue resolution, but existing systems are almost exclusively designed for Python and r…
InfCode: Adversarial Iterative Refinement of Tests and Patches for Reliable Software Issue Resolution
KeFan Li, Mengfei Wang, Hengzhi Zhang +7
Large language models have advanced software engineering automation, yet resolving real-world software issues remains difficult because it requires repository-level reasoning, accu…