5 papers
IndicFairFace: Balanced Indian Face Dataset for Auditing and Mitigating Geographical Bias in Vision-Language Models
Aarish Shah Mohsin, Mohammed Tayyab Ilyas Khan, Mohammad Nadeem +3
Vision-Language Models (VLMs) are known to inherit and amplify societal biases from their web-scale training data with Indian being particularly misrepresented. Existing fairness-a…
Beyond Specialization: Benchmarking LLMs for Transliteration of Indian Languages
Gulfarogh Azam, Mohd Sadique, Saif Ali +4
Transliteration, the process of mapping text from one script to another, plays a crucial role in multilingual natural language processing, especially within linguistically diverse…
Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models
Tabinda Aman, Mohammad Nadeem, Shahab Saquib Sohail +2
Animal stereotypes are deeply embedded in human culture and language. They often shape our perceptions and expectations of various species. Our study investigates how animal stereo…
Towards Multimodal Empathetic Response Generation: A Rich Text-Speech-Vision Avatar-based Benchmark
Han Zhang, Zixiang Meng, Meng Luo +4
Empathetic Response Generation (ERG) is one of the key tasks of the affective computing area, which aims to produce emotionally nuanced and compassionate responses to user's querie…
Gender Bias in Text-to-Video Generation Models: A case study of Sora
Mohammad Nadeem, Shahab Saquib Sohail, Erik Cambria +2
The advent of text-to-video generation models has revolutionized content creation as it produces high-quality videos from textual prompts. However, concerns regarding inherent bias…