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AgentBenchAudit/agent-benchmark-evidence-reports

Release repository for agent benchmark evidence-reporting artifacts and reproduction workflows.

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SUMMARY AI要約 by gpt-5-mini

This repository provides the public release of an evidence-reporting layer for interactive-agent benchmarks introduced in the linked paper. It does not change tasks, agents, environments, or native evaluators; instead it adds a post-run audit that asks what the stored run artifacts actually support. Who uses it: benchmark authors, evaluators, auditors, and researchers who need to interpret or validate benchmark success claims. Key features: - Formalization of the outcome–evidence gap and case-specific checklists tied to each benchmark’s success claim. - Classification of completed records into Evidence Pass, Evidence Fail, and Unknown. - Packaged records, release-validation utilities, and rescoring helpers to report evidence-supported score bounds (intervals) over fixed record sets. - Tracking and submission of upstream conflict reports with progress status.

GitHub Topics

#agent-benchmark #benchmark #evaluation #python #reproducibility #research-artifacts

使用言語(バイト数比)

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30.4%
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JavaScript
5.1%

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日付

GitHub作成日 2026-05-08
最終Push 2026-05-09
当サイト初検出 2026-05-09
最終取得 2026-05-09 18:16

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