Vipul Gupta

Ph.D. Candidate in NLP lab at Pennsylvania State University
Research Scientist Internship at FAIR, Meta | 2024
NLP Research Scientist Summer Internship at Kitware | 2023
Research Intern at John Hopkins University | 2021
Research Assistant at University of British Columbia | 2021
Indian Institute of Technology(IIT) Delhi - B.Tech in Mathematics and Computing | 2018
I am a Ph.D. candidate in Computer Science at Pennsylvania State University, in the NLP lab under Prof. Rebecca Jane Passonneau My research focuses on Responsible AI and model evaluations, with a particular emphasis on large language models.
In 2024, I spent 6 amazing months as a Research Scientist Intern at Meta Fundamental AI Research (FAIR) group. As part of Responsible AI Team under Adina Williams, I led projects to identify reliability issues in benchmark datasets for Large Language Models and developing methodologies to enhance the robustness and efficiency of evaluation datasets. In the summer of 2023, I worked as an NLP Research Summer Intern at Kitware, contributing to the In The Moment project funded by DARPA. I focused on application of large language models in critical scenarios such as medical triage and implemented Retrieval-Augmented Generation (RAG) and experimented with in-context learning to improve robustness and reliability of models.
Prior to starting my PhD, I did a Research Internship under Bloomberg Distinguished Professor Alan Yuille at John Hopkins University. During this time, I worked on robustness in vision and language models. I have also done a Research Assistantship at University of British Columbia under Professor Apurva Narayan. During this time, I worked on adversarial training in computer vision.
My academic journey began with a Bachelor's degree in Mathematics and Computing from IIT Delhi, India. After completing my bachelors, I have gained 2 and a half years of industry experience in Applied AI at HyperVerge, an innovative Fintech and Geospatial startup in India. During this time I worked on various projects on face recognition, face deduplication, OCR, forgery detection and object detection.
I am really interested with what AI can do in real-world settings. Currently I am very excited by NotebookLM podcasts by Google. I like giving my papers and let it generate a small podcast on it. Some on my publications have a podcasts linked with them now (credits to Google for that).
My research interests includes Responsible AI, evaluation, fairness and robustness.
When I am not doing research, I like to read books (currently reading lots of psychology and philosophy books) and travel.