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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@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
Users appreciated the shout-out for the paper proposing surgical fixes for insecure code generation in LLMs by crediting the original NYU researchers.
Based on 1 visible X reactions from 1 accounts; directional sample.
Ask a question below.
Published answers will appear here.