Dhruv Agarwal - RankMe

13 papers A* 3Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	DiscoveryBench: Towards Data-Driven Discovery with Large Language Models. ICLR Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Bhavana Dalvi Mishra, Abhijeetsingh Meena, Aryan Prakhar, Tirth Vora, Tushar Khot, Ashish Sabharwal, Peter Clark
2025	J	`jnl`	MiGrATe: Mixed-Policy GRPO for Adaptation at Test-Time. CoRR Peter Phan, Dhruv Agarwal, Kavitha Srinivas, Horst Samulowitz, Pavan Kapanipathi, Andrew McCallum
2025	J	`jnl`	Open-ended Scientific Discovery via Bayesian Surprise. CoRR 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
2025	A*	`conf`	Searching for Optimal Solutions with LLMs via Bayesian Optimization. ICLR Dhruv Agarwal, Manoj Ghuhan Arivazhagan, Rajarshi Das, Sandesh Swamy, Sopan Khosla, Rashmi Gangadharaiah
2024	—	`conf`	Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA. NAACL-HLT (Findings) Dhruv Agarwal, Rajarshi Das, Sopan Khosla, Rashmi Gangadharaiah
2024	J	`jnl`	Data-driven Discovery with Large Generative Models. CoRR Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Sanchaita Hazra, Ashish Sabharwal, Peter Clark
2024	J	`jnl`	DiscoveryBench: Towards Data-Driven Discovery with Large Language Models. CoRR Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Bhavana Dalvi Mishra, Abhijeetsingh Meena, Aryan Prakhar, Tirth Vora, Tushar Khot, Ashish Sabharwal, Peter Clark
2024	A*	`conf`	Position: Data-driven Discovery with Large Generative Models. ICML Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Sanchaita Hazra, Ashish Sabharwal, Peter Clark
2023	J	`jnl`	Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA. CoRR Dhruv Agarwal, Rajarshi Das, Sopan Khosla, Rashmi Gangadharaiah
2023	—	`conf`	Machine Reading Comprehension using Case-based Reasoning. EMNLP (Findings) Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Wenlong Zhao, Rajarshi Das, Jay-Yoon Lee, Hannaneh Hajishirzi, Manzil Zaheer, Andrew McCallum
2023	J	`jnl`	Machine Reading Comprehension using Case-based Reasoning. CoRR Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Wenlong Zhao, Rajarshi Das, Manzil Zaheer, Jay-Yoon Lee, Hannaneh Hajishirzi, Andrew McCallum
2022	—	`conf`	Entity Linking via Explicit Mention-Mention Coreference Modeling. NAACL-HLT Dhruv Agarwal, Rico Angell, Nicholas Monath, Andrew McCallum
2021	J	`jnl`	Entity Linking and Discovery via Arborescence-based Supervised Clustering. CoRR Dhruv Agarwal, Rico Angell, Nicholas Monath, Andrew McCallum