Papers by Rida Qadri

2 papers
ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation (2024.acl-long)

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Challenge: Existing approaches for evaluating stereotypes have a noticeable lack of coverage of global identity groups and their associated stereotypes.
Approach: They propose to use a dataset to evaluate nationality-based stereotypes in T2I models across 135 nationalities to assess offensive stereotypes.
Outcome: The proposed dataset enables evaluation of known nationality-based stereotypes across 135 nationalities.
Geo-Cultural Representation and Inclusion in Language Technologies (2024.lrec-tutorials)

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Challenge: audi et al.: training and evaluation of language models rely on semi-structured data that is annotated by humans . e-learning tools do not integrate rich and diverse community perspectives into language technologies .
Approach: They will examine how different socio-cultural perspectives influence what is taken as ground truth by models.
Outcome: This tutorial examines how different socio-cultural perspectives influence representations of global concepts.

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