Papers by Aditya Chinchure
From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models (2024.emnlp-main)
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| Challenge: | Vision-Language Models (VLMs) have shown emerging capabilities through large-scale training that have made them gain popularity in recent years. |
| Approach: | They propose to perform retrieval across universals and cultural visual grounding tasks to assess cultural diversity across universal and culture-specific local concepts. |
| Outcome: | The proposed benchmarks show that the models perform significantly across cultures, underscoring the need for enhancing multicultural understanding in vision-language models. |
Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models (2025.findings-emnlp)
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Pushkar Shukla, Aditya Chinchure, Emily Diana, Alexander Tolbert, Kartik Hosanagar, Vineeth N. Balasubramanian, Leonid Sigal, Matthew A. Turk
| Challenge: | a new tool for analyzing and quantifying bias interactions in text-to-image models is being developed . a bias in text models can be deeply interrelated, but measuring such effects quantitatively remains a challenge. |
| Approach: | They propose a tool to quantify bias interactions in text-to-image models by analyzing and quantifying bias interactions along bias axes. |
| Outcome: | a new tool analyzes and quantifies bias interactions in text-to-image models . estimates show strong correlations with observed post-mitigation outcomes . |