2026 Combining Large Language Models for High-quality, Cost-efficient Conservative Reassessments of Static Security Findings
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Anonymous review artifact accompanying the submission “Combining Large Language Models for High-quality, Cost-efficient Conservative Reassessments of Static Security Findings”. The archive includes the reused benchmark data, prompts, experiment outputs, evaluation notebooks, and figures required to inspect and reproduce the reported results. Author-identifying metadata and local environment traces were removed for double-blind review.
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2026-03-27
