5 papers · 1 filter
Understanding Agent-Based Patching of Compiler Missed Optimizations
Batu Guan, Zirui Wang, Shaohua Li
Compiler missed optimizations refer to cases in which compilers failed to optimize certain code. It takes many compiler developers' efforts to implement or patch such missed optimi…
Archer: Towards Agentic Review for Compiler Optimizations
Yunbo Ni, Shaohua Li
Modern compilers are frequently updated, but expert review capacity is highly limited, leading to delayed integration and, in some cases, subtle semantic bugs entering the compiler…
Agentic Harness for Real-World Compilers
Yingwei Zheng, Cong Li, Shaohua Li +2
Compilers are critical to modern computing, yet fixing compiler bugs is difficult. While recent large language model (LLM) advancements enable automated bug repair, compiler bugs p…
Interleaving Large Language Models for Compiler Testing
Yunbo Ni, Shaohua Li
Testing compilers with AI models, especially large language models (LLMs), has shown great promise. However, current approaches struggle with two key problems: The generated progra…
Is Your Benchmark Still Useful? Dynamic Benchmarking for Code Language Models
Batu Guan, Xiao Wu, Yuanyuan Yuan +1
In this paper, we tackle a critical challenge in model evaluation: how to keep code benchmarks useful when models might have already seen them during training. We introduce a novel…