Papers with SeeGULL
SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models (2023.acl-long)
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Akshita Jha, Aida Mostafazadeh Davani, Chandan K Reddy, Shachi Dave, Vinodkumar Prabhakaran, Sunipa Dev
| Challenge: | Existing datasets on social stereotypes are limited in size and coverage . existing datasets are restricted to stereotypes prevalent in the Western society . |
| Approach: | They propose a broad-coverage stereotype dataset using generative models and a globally diverse rater pool to validate the prevalence of stereotypes in society. |
| Outcome: | The dataset validates the prevalence of stereotypes in society across 8 geo-political regions across 6 continents and states within the US and India. |