Dhruv Agarwal

According to our database, Dhruv Agarwal authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

MiGrATe: Mixed-Policy GRPO for Adaptation at Test-Time.

Peter Phan, Dhruv Agarwal, Kavitha Srinivas, Horst Samulowitz, Pavan Kapanipathi, Andrew McCallum

CoRR, August, 2025

Open-ended Scientific Discovery via Bayesian Surprise.

Dhruv Agarwal, Bodhisattwa Prasad Majumder, Reece Adamson, Megha Chakravorty, Satvika Reddy Gavireddy, Aditya Parashar, Harshit Surana, Bhavana Dalvi Mishra, Andrew McCallum, Ashish Sabharwal, Peter Clark

CoRR, July, 2025

DiscoveryBench: Towards Data-Driven Discovery with Large Language Models.

Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Bhavana Dalvi Mishra, Abhijeetsingh Meena, Aryan Prakhar, Tirth Vora, Tushar Khot, Ashish Sabharwal, Peter Clark

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Searching for Optimal Solutions with LLMs via Bayesian Optimization.

Dhruv Agarwal, Manoj Ghuhan Arivazhagan, Rajarshi Das, Sandesh Swamy, Sopan Khosla, Rashmi Gangadharaiah

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Data-driven Discovery with Large Generative Models.

Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Sanchaita Hazra, Ashish Sabharwal, Peter Clark

CoRR, 2024

Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA.

Dhruv Agarwal, Rajarshi Das, Sopan Khosla, Rashmi Gangadharaiah

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Position: Data-driven Discovery with Large Generative Models.

Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Sanchaita Hazra, Ashish Sabharwal, Peter Clark

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Machine Reading Comprehension using Case-based Reasoning.

Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Wenlong Zhao, Rajarshi Das, Jay-Yoon Lee, Hannaneh Hajishirzi, Manzil Zaheer, Andrew McCallum

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Entity Linking via Explicit Mention-Mention Coreference Modeling.

Dhruv Agarwal, Rico Angell, Nicholas Monath, Andrew McCallum

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

Entity Linking and Discovery via Arborescence-based Supervised Clustering.

Dhruv Agarwal, Rico Angell, Nicholas Monath, Andrew McCallum

CoRR, 2021