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LLMs can achieve a staggering 94.8% correctness in generating compiler optimizations that traditional methods miss, revealing a new frontier in program analysis.
Baseline choice can radically alter the diagnosis of numerical deviations, revealing that compiler-induced discrepancies don't always equate to accuracy loss.
Ghost references in LLM-generated code can be eliminated by constraining generation to valid runtime environments, ensuring both grammatical and semantic correctness.
