Combining Large Language Models for High-quality, Cost-efficient Conservative Reassessments of Static Security Findings
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| Natura: | Recurso digital |
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Zenodo
2026
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| _version_ | 1866901085991469056 |
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| author | Anonymous, Anonymous |
| author_facet | Anonymous, Anonymous |
| contents | <p>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.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19243340 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Combining Large Language Models for High-quality, Cost-efficient Conservative Reassessments of Static Security Findings Anonymous, Anonymous <p>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.</p> |
| title | Combining Large Language Models for High-quality, Cost-efficient Conservative Reassessments of Static Security Findings |
| url | https://doi.org/10.5281/zenodo.19243340 |