3 papers
cs.SE2026
Don't Regenerate, Debug: A Domain-Specific Agent for Repairing Near-Miss Hardware Operators
Yansong Sun, Shenxiu Wu, Siyuan Chen +6
Kernel generation for hardware accelerators such as GPUs and NPUs has become a proving ground for large language models (LLMs), and state-of-the-art systems raise correctness throu…
cs.HC2026
Understanding Codebase like a Professional! Human-AI Collaboration for Code Comprehension
Jie Gao, Yue Xue, Xiaofei Xie +3
Understanding an unfamiliar codebase is an essential task for developers in various scenarios, such as during the onboarding process. Especially when the codebase is large and time…
cs.SE2025
Lifting the Veil on Composition, Risks, and Mitigations of the Large Language Model Supply Chain
Kaifeng Huang, Bihuan Chen, You Lu +7
Large language models (LLMs) have sparked significant impact with regard to both intelligence and productivity. Numerous enterprises have integrated LLMs into their applications to…