Scholar
Vipul Gupta
Google Scholar ID: QWVqqnMAAAAJ
PhD Candidate, Penn State
Citations & Impact
Citations
446
H-index
11
i10-index
11
Publications
18
Co-authors
14
list available
Resume
Research Experience
- Research Scientist Intern at Meta Fundamental AI Research (FAIR) in 2024, leading projects to identify reliability issues in benchmark datasets for Large Language Models and developing methodologies to enhance the robustness and efficiency of evaluation datasets.
- NLP Research Summer Intern at Kitware in 2023, contributing to the In The Moment project funded by DARPA, focusing on the application of large language models in critical scenarios such as medical triage and implementing Retrieval-Augmented Generation (RAG) and experimenting with in-context learning to improve the robustness and reliability of models.
- Research Intern under Bloomberg Distinguished Professor Alan Yuille at John Hopkins University, working on robustness in vision and language models.
- Research Assistant at the University of British Columbia under Professor Apurva Narayan, working on adversarial training in computer vision.
- Gained 2 and a half years of industry experience in Applied AI at HyperVerge, an innovative Fintech and Geospatial startup, working on various projects including face recognition, face deduplication, OCR, forgery detection, and object detection.
Education
- Ph.D. Candidate in Computer Science at Pennsylvania State University, NLP lab under Prof. Rebecca Jane Passonneau; B.Tech in Mathematics and Computing from Indian Institute of Technology (IIT) Delhi (2018).
Background
- Research interests include Responsible AI, evaluation, fairness, and robustness. Focuses on the reliability and model evaluations of large language models.
Miscellany
- Very interested in what AI can do in real-world settings. Excited by Google's NotebookLM podcasts, likes to let his papers generate small podcasts. Enjoys reading books (currently reading lots of psychology and philosophy books) and traveling.
