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University of Texas at Dallas
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Reasoning-tuned LLMs mirror human struggles with obfuscated code, revealing critical insights into model design and comprehension limits.
Code obfuscation doesn't always make things harder for humans: certain renaming techniques in Python can actually *improve* program comprehension compared to the original code.