Pranjal Chitale
Research Fellow
About
I am a Research Fellow at Microsoft Research India, where I work on advancing retrieval models and building multilingual AI systems.
Previously, I completed my MS (by Research) from the Indian Institute of Technology, Madras, where my thesis work led to the development of IndicTrans2 (opens in new tab) – the first open-source models supporting all 22 scheduled Indian languages with over 5M downloads on HuggingFace (opens in new tab) and deployed at the Honorable Supreme Court of India and WikiMedia foundation.
My current research interests encompass developing rigorous evaluation methodologies that reveal model limitations, data and resource-efficient learning, and understanding how to effectively and efficiently utilize synthetic data as a tool to make models more robust to out-of-distribution settings and its potential to unlock multilingual capabilities of models
Featured content
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark
Visual Question Answering (VQA) is an important task in multimodal AI, and it is often used to test the ability of vision-language models to understand and reason on knowledge present in both visual and textual data. However, most of the…