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Parrish and colleagues: BBQ contextual social-bias evaluation

Constructed a question-answering benchmark contrasting ambiguous and disambiguated contexts to measure when model answers rely on social stereotypes rather than supplied information, using controlled templates and balancing.

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Constructed a question-answering benchmark contrasting ambiguous and disambiguated contexts to measure when model answers rely on social stereotypes rather than supplied information, using controlled templates and balancing.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

The assessed contribution is the evaluation resource and its design, not a model capability score. The benchmark focuses on selected social categories in US English. Its measured bias does not establish fairness across languages, cultures, deployments or every form of discrimination.

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People and systems

Alicia Parrish; Angelica Chen; Nikita Nangia; Vishakh Padmakumar; Jason Phang; Jana Thompson; Phu Mon Htut; Samuel R. Bowman

Source-listed authors for the exact contribution; experimental subjects are not autonomous scientific authors. Source support and predecessor work retain separate roles. Individual effort shares and unresolved identities are not inferred.

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English catalogue narrative

Parrish and colleagues: BBQ contextual social-bias evaluation

Constructed a question-answering benchmark contrasting ambiguous and disambiguated contexts to measure when model answers rely on social stereotypes rather than supplied information, using controlled templates and balancing.

Scientific scope

The assessed contribution is the evaluation resource and its design, not a model capability score. The benchmark focuses on selected social categories in US English. Its measured bias does not establish fairness across languages, cultures, deployments or every form of discrimination.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Alicia Parrish; Angelica Chen; Nikita Nangia; Vishakh Padmakumar; Jason Phang; Jana Thompson; Phu Mon Htut; Samuel R. Bowman

Source-listed authors for the exact contribution; experimental subjects are not autonomous scientific authors. Source support and predecessor work retain separate roles. Individual effort shares and unresolved identities are not inferred.

Original sources