Dhruv Agarwal | Ph.D. student, UMass Amherst

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

Bio: I am a 4^th year Ph.D. candidate at the University of Massachusetts Amherst advised by Prof. Andrew McCallum. My primary research interest is in ML/NLP for search, discovery, and reasoning, incorporating Bayesian methodologies with a focus on developing systems that can assist with and automate real-world scientific workflows.

Lab: Information Extraction and Synthesis Laboratory (IESL)

Personal Links: Scholar | GitHub | Twitter | LinkedIn

Email: dagarwal@cs.umass.edu

News:

09/2025: AutoDS accepted to NeurIPS 2025!
08/2025: New preprint! MiGrATe: Mixed-Policy GRPO for Adaptation at Test-Time.
06/2025: New preprint! Open-ended Scientific Discovery via Bayesian Surprise (AutoDS).
06/2025: Started a summer internship at Ai2 Aristo in Seattle.
01/2025: Two papers (DiscoveryBench and BOPRO) accepted to ICLR 2025!
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.
05/2024: Position: Data-driven Discovery with Large Generative Models accepted to ICML 2024!
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:

Peter Phan (Fall 2024 - Present)
Reece Adamson, Satvika Reddy Gavireddy, Megha Chakravorty (Spring 2025)
Aditya Parashar (Fall 2023 - Fall 2024)
Varad Pimpalkhute (Summer 2024)
Abhinava Maddha (Summer 2023)
Aneri Rana, Sriharsha Hatwar (Spring 2023)
Pragya Prakash (Fall 2022)

Reviewing:

NeurIPS 2024, 2025
ICML 2024, 2025
ICLR 2024, 2025
ARR - June 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!