Dhruv Agarwal | Ph.D. student, UMass Amherst

Dhruv Agarwal
Ph.D. student, Computer Science, 2022-

Bio: I am a second year Ph.D. student advised by Prof. Andrew McCallum at the University of Massachusetts Amherst. My broad research interest is in machine learning for natural language processing and its application in tasks that require complex, multi-step reasoning. Currently, my ongoing projects focus on zero-shot reasoning with LLMs, developing a better understanding of ICL and its various idiosyncracies, retrieval augmentation (and the framework of case-based reasoning), and compositional generalization. In terms of applications, I am very interested in developing NLP methods to help accelerate scientific discovery in fields such as biomedicine.

Lab: Information Extraction and Synthesis Laboratory (IESL)

Personal Links: Scholar | GitHub | Twitter | LinkedIn

Email: [first_initial][last_name]@cs.umass.edu

News:

11/2023: New preprint! BYOKG: Self-Supervised Program Synthesis for Zero-shot KGQA.
10/2023: Work on MRC using case-based reasoning accepted at EMNLP 2023 (Findings)! Selected for a poster at the main conference.
06/2023: Started a summer internship at Amazon AWS AI with Rajarshi Das and Sopan Khosla.
05/2023: New preprint! Machine Reading Comprehension using Case-based Reasoning.
11/2022: Published a patent with Oracle Hospitality on an AI-based system for room assignment
09/2022: Joined the Computer Science Ph.D. program at UMass Amherst!
07/2022: Presented Entity Linking via Explicit Mention-Mention Coreference Modeling at NAACL in Seattle, WA. Recording.
05/2022: Started a summer internship at Oracle Labs (East) with Ari Kobren.
04/2022: Work on entity linking via coreference modeling accepted at NAACL 2022 (main conference)!
05/2021: Started a summer internship at the Information Extraction and Synthesis Laboratory (IESL) with Nicholas Monath and Rico Angell.
02/2021: Joined the M.S. in Computer Science program at UMass Amherst!
07/2020: Left Oracle Hospitality's AI and Data Science team after 4.5 years.
10/2019: Filed 2 patent applications with Oracle Hospitality.

Mentoring:

Aditya Parashar (Fall 2023)
Abhinava Maddha (Summer 2023)
Aneri Rana (Spring 2023)
Sriharsha Hatwar (Spring 2023)
Pragya Prakash (Fall 2022)

Machine Learning and Friends Lunch (MLFL)
As of Fall 2023, I co-organize the MLFL seminar series. We're always on the lookout for exciting speakers (especially early-career), so please feel free to reach out if you would like to present your work at UMass or have a speaker recommendation!