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Han and colleagues: WildGuard moderation and refusal classification

Contribution grade

Language-model safeguards · Human-designed model analysis or safeguard method

Reference score40,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Developed a multi-task moderation model and associated training/evaluation resources that distinguish prompt harmfulness, response harmfulness and whether a response refuses the request, including adversarially phrased inputs.

Scientific scope

Developed a multi-task moderation model and associated training/evaluation resources that distinguish prompt harmfulness, response harmfulness and whether a response refuses the request, including adversarially phrased inputs. A refusal can be appropriate or excessive and is not itself a harmfulness label. Reported comparisons are benchmark- and model-specific; synthetic data and human judgments remain fallible.

Evidence

The linked original works support the scoped statement and contribution attribution. WRS has not independently replayed experiments or reconstructed a full mathematical proof. A refusal can be appropriate or excessive and is not itself a harmfulness label. Reported comparisons are benchmark- and model-specific; synthetic data and human judgments remain fallible.

Contributors

Provisional WRS assessment, edition 2026-10-23.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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