Dhruv Agarwal | Ph.D. student, UMass Amherst

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

Bio: I am a third-year Ph.D. student advised by Prof. Andrew McCallum at the University of Massachusetts Amherst. My research interest is in machine learning for natural language processing and its application to scientific discovery and, more broadly, sequential decision-making.

Lab: Information Extraction and Synthesis Laboratory (IESL)

Personal Links: Scholar | GitHub | Twitter | LinkedIn

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

News:

07/2024: New preprint! DiscoveryBench: Towards Data-Driven Discovery with Large Language Models.
06/2024: Started a summer internship at Amazon AWS AI Labs in New York.
03/2024: BYOKG accepted to NAACL 2024 (Findings) and LLM Agents workshop at ICLR 2024!
02/2024: New preprint! Data-driven Discovery with Large Generative Models.
11/2023: New preprint! BYOKG: Self-Supervised Program Synthesis for Zero-shot KGQA.
10/2023: CBR-MRC accepted to 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 (CBR-MRC).
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 ArboEL at NAACL in Seattle, WA. Recording.
05/2022: Started a summer internship at Oracle Labs (East) with Ari Kobren.
04/2022: Entity Linking via Explicit Mention-Mention Coreference Modeling (ArboEL) accepted to NAACL 2022 (Main)!
05/2021: Started a summer internship at the Information Extraction and Synthesis Laboratory (IESL) with Nicholas Monath and Rico Angell.
02/2021: Joined the Computer Science M.S. 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:

Varad Pimpalkhute (Summer 2024)
Aditya Parashar (Fall 2023)
Abhinava Maddha (Summer 2023)
Aneri Rana (Spring 2023)
Sriharsha Hatwar (Spring 2023)
Pragya Prakash (Fall 2022)

Reviewing:

NeurIPS 2024
ICML 2024
ACL 2024
EMNLP 2023

Machine Learning and Friends Lunch (MLFL)
I co-organize the MLFL seminar series at the CS department in UMass Amherst. 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 or have a speaker recommendation!