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University College London
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Key contribution not extracted.
Code LLMs don't just memorize training data – some generalize far better than others, and even "leaky" datasets like CVEFixes show surprisingly low memorization advantage.
LLMs fix more bugs when you feed them *less* code, thanks to a new compression technique that distills context to the minimal, crucial snippets.
