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cs.CV2024
Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification
Raja Kumar, Raghav Singhal, Pranamya Kulkarni +2
Deep multimodal learning has shown remarkable success by leveraging contrastive learning to capture explicit one-to-one relations across modalities. However, real-world data often…
cs.CL2024
IndiBias: A Benchmark Dataset to Measure Social Biases in Language Models for Indian Context
Nihar Ranjan Sahoo, Pranamya Prashant Kulkarni, Narjis Asad +4
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). Existi…