Entity Linking and Discovery via Arborescence-based Supervised Clustering. - Dhruv Agarwal 003; Rico Angell; Nicholas Monath; Andrew McCallum (CoRR, 2021)

Entity Linking via Explicit Mention-Mention Coreference Modeling. - Dhruv Agarwal 003; Rico Angell; Nicholas Monath; Andrew McCallum (NAACL-HLT, 2022)

Machine Reading Comprehension using Case-based Reasoning. - Dung Thai; Dhruv Agarwal 003; Mudit Chaudhary; Wenlong Zhao 001; Rajarshi Das; Jay-Yoon Lee; Hannaneh Hajishirzi; Manzil Zaheer; Andrew McCallum (EMNLP (Findings), 2023)

Position: Data-driven Discovery with Large Generative Models. - Bodhisattwa Prasad Majumder; Harshit Surana; Dhruv Agarwal 003; Sanchaita Hazra; Ashish Sabharwal; Peter Clark (ICML, 2024)

Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA. - Dhruv Agarwal 003; Rajarshi Das; Sopan Khosla; Rashmi Gangadharaiah (NAACL-HLT (Findings), 2024)

Data-driven Discovery with Large Generative Models. - Bodhisattwa Prasad Majumder; Harshit Surana; Dhruv Agarwal 003; Sanchaita Hazra; Ashish Sabharwal; Peter Clark (CoRR, 2024)

Searching for Optimal Solutions with LLMs via Bayesian Optimization. - Dhruv Agarwal 003; Manoj Ghuhan Arivazhagan; Rajarshi Das; Sandesh Swamy; Sopan Khosla; Rashmi Gangadharaiah (ICLR, 2025)

DiscoveryBench: Towards Data-Driven Discovery with Large Language Models. - Bodhisattwa Prasad Majumder; Harshit Surana; Dhruv Agarwal 003; Bhavana Dalvi Mishra; Abhijeetsingh Meena; Aryan Prakhar; Tirth Vora; Tushar Khot; Ashish Sabharwal; Peter Clark (ICLR, 2025)

Open-ended Scientific Discovery via Bayesian Surprise. - Dhruv Agarwal 003; Bodhisattwa Prasad Majumder; Reece Adamson; Megha Chakravorty; Satvika Reddy Gavireddy; Aditya Parashar; Harshit Surana; Bhavana Dalvi Mishra; Andrew McCallum; Ashish Sabharwal; Peter Clark (CoRR, 2025)

MiGrATe: Mixed-Policy GRPO for Adaptation at Test-Time. - Peter Phan; Dhruv Agarwal 003; Kavitha Srinivas; Horst Samulowitz; Pavan Kapanipathi; Andrew McCallum (CoRR, 2025)