Efficiency Hallucination: Formalizing and Measuring Behavioral Calibration in LLM-Based Code Optimization
The integration of Large Language Models (LLMs) into automated code optimization introduces a critical reliability risk we term the Efficiency Hallucination: an LLM's tendency to issue non-functional mutations with unsubstantiated performance claims on already-optimized code. This is driven by the Evaluation Trap, wher...
Sarah Wilson, Gail E. Kaiser, Patrick Musau
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