#gcc -O324/05/2025
Reinforcement Learning Empowers LLMs to Outperform Traditional Compilers in Assembly Code Optimization
Researchers have developed a reinforcement learning framework that enables LLMs to optimize assembly code beyond traditional compilers, achieving a 1.47× speedup and 96% correctness on thousands of real-world programs.