Awarded UTCS’s Bert Kay Dissertation award; multiple papers accepted to conferences such as COLM, EMNLP, ACL; involved in various research projects on LLMs, including length optimization in RLHF, dynamically improving reward models during alignment, and faithfulness in long narrative book summarization.
Research Experience
Currently an Assistant Professor in the Department of Computer Science at Cornell University. Previously, a postdoctoral scholar at Princeton Language and Intelligence Center (2023-2024).
Education
Ph.D. in Computer Science from UT Austin in 2023, advised by Greg Durrett; B.Tech in Mathematics and Computing from Indian Institute of Technology, Guwahati (2011-2015).
Background
Research interests primarily in the field of Natural Language Processing, focusing on reliable and sustainable evaluation frameworks for large language models (LLMs), factuality assessment and improvement of LLMs, and understanding LLM behaviors as a function of training data and/or alignment strategies.