Recent progress in generative models has resulted in models that produce both realistic as
well as relevant images for most textual inputs. These models are being used to generate …

The potential of Generative AI, such as ChatGPT, has sparked discussions among
researchers and the public. This study empirically explores the capabilities and limitations of …

Large-scale deployment of large language models (LLMs) in various applications, such as
chatbots and virtual assistants, requires LLMs to be culturally sensitive to the user to ensure …

With the significant advancements of Large Language Models (LLMs) in the field of Natural
Language Processing (NLP), the development of image-text multimodal models has …

Existing object recognition models have been shown to lack robustness in diverse
geographical scenarios due to domain shifts in design and context. Class representations …

With the significant advancements of Large Language Models (LLMs) in the field of Natural
Language Processing (NLP), the development of image-text multimodal models has …

To create culturally inclusive vision-language models (VLMs), the foremost requirement is
developing a test benchmark that can diagnose the models' ability to respond to questions …

With the increasing integration of AI into everyday life, it's becoming crucial to design AI
systems that serve users from diverse backgrounds by making them culturally aware. In this …

Vision-language models (VLMs) can respond to queries about images in many languages.
However, beyond language, culture affects how we see things. For example, individuals …

Large multimodal models (LMMs) have shown remarkable performance in the visual
commonsense reasoning (VCR) task, which aims to answer a multiple-choice question …