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Author

Gail E. Kaiser

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#artificial intelligence Preprint Sep 2026

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 · 0 citations

Understanding Automated Program Repair Agents Through the Lens of Traceability: An Empirical Study

This study traces the full decision-making pipelines of the 5 APR agents across 500 real-world repair tasks, from issue description to patch validation, and reveals that, while agents excel at simple fixes, they struggle with logic-intensive bugs.

Ira Ceka, Saurabh Pujar, Shyam Ramji et al. · 0 citations · ⚡1

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