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Verified Learning for Compiler Optimization: An LLM-Guided Architecture with Formal Control
Compiler optimizations traditionally rely on handcrafted heuristics that often fail to generalize across programs and architectures. We investigate whether large language models can participate in compiler optimization through a verification-centered systems architecture that couples generative rewr
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