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papersTODAY 04:00 UTC

arXiv paper examines contextual bias in LLM-assisted security code review

A new arXiv paper studies how contextual bias affects automated code review systems built on large language models, which are increasingly used both as interactive assistants and as autonomous agents in CI/CD pipelines. The authors measure this bias and explore ways it could be exploited, framing the work around the reliability of LLM-driven security review in real development workflows.

llm/security/code-review/bias