1 citations · 1 across the 3 of their papers we have counts for
3 papers
NanoVLMs: How small can we go and still make coherent Vision Language Models?
Mukund Agarwalla, Himanshu Kumar, Raj Dandekar +2
Vision-Language Models (VLMs), such as GPT-4V and Llama 3.2 vision, have garnered significant research attention for their ability to leverage Large Language Models (LLMs) in multi…
Evaluating Cultural Awareness of LLMs for Yoruba, Malayalam, and English
Fiifi Dawson, Zainab Mosunmola, Sahil Pocker +3
Although LLMs have been extremely effective in a large number of complex tasks, their understanding and functionality for regional languages and cultures are not well studied. In t…
HULLMI: Human vs LLM identification with explainability
Prathamesh Dinesh Joshi, Sahil Pocker, Raj Abhijit Dandekar +2
As LLMs become increasingly proficient at producing human-like responses, there has been a rise of academic and industrial pursuits dedicated to flagging a given piece of text as "…