NYU researchers argue LLM code flaws aren't a knowledge deficit
The targeted surgical repair method fixes specific failure patterns.
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Users appreciated the shout-out for the paper proposing surgical fixes for insecure code generation in LLMs by crediting the original NYU researchers.
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Surgical Repair of Insecure Code Generation in LLMs Neat paper from XBOW. Building models that generate more secure code by identifying failure categories and addressing them one by one. I appreciate work that gets into the data, determines themes, and addresses them individually; that's how you understand, and build lasting fixes. https://arxiv.org/abs/2604.16697
@LeonDerczynski I appreciate the shout-out, but all credit goes to @gussand and @sg1753 back at NYU! :)
Surgical Repair of Insecure Code Generation in LLMs Neat paper from XBOW. Building models that generate more secure code by identifying failure categories and addressing them one by one. I appreciate work that gets into the data, determines themes, and addresses them individually; that's how you understand, and build lasting fixes. https://arxiv.org/abs/2604.16697