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Arif Ahmad

2 accepted papers

2024

Beyond Aesthetics: Cultural Competence in Text-to-Image Models

NeurIPS 2024poster

Text-to-Image (T2I) models are being increasingly adopted in diverse global communities where they create visual representations of their unique cultures. Current T2I benchmarks primarily focus on faithfulness, aesthetics, and realism of generated images, overlooking the critical dimension of *cultu…

Cited by 10SourcePDFScholar
2024

IndiBias: A Benchmark Dataset to Measure Social Biases in Language Models for Indian Context

NAACL 2024long

The pervasive influence of social biases in language data has sparked the need for benchmark datasets that capture and evaluate these biases in Large Language Models (LLMs). Existing efforts predominantly focus on English language and the Western context, leaving a void for a reliable dataset that e…