Dave Wadden

According to our database, Dave Wadden authored at least 25 papers between 2019 and 2024.

Collaborative distances:

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

2024

KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions.

Fangyuan Xu, Kyle Lo, Luca Soldaini, Bailey Kuehl, Eunsol Choi, David Wadden

CoRR, 2024

When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets.

Orion Weller, Kyle Lo, David Wadden, Dawn J. Lawrie, Benjamin Van Durme, Arman Cohan, Luca Soldaini

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

2023

Knowledge-Intensive NLP for Real-World Information Needs

David Wadden

PhD thesis, 2023

Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2.

Hamish Ivison, Yizhong Wang, Valentina Pyatkin, Nathan Lambert, Matthew E. Peters, Pradeep Dasigi, Joel Jang, David Wadden, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi

CoRR, 2023

Language Models Hallucinate, but May Excel at Fact Verification.

Jian Guan, Jesse Dodge, David Wadden, Minlie Huang, Hao Peng

CoRR, 2023

Estimating the Causal Effect of Early ArXiving on Paper Acceptance.

Yanai Elazar, Jiayao Zhang, David Wadden, Bo Zhang, Noah A. Smith

CoRR, 2023

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources.

Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Raghavi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi

CoRR, 2023

Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction.

Ashish Sharma, Kevin Rushton, Inna Wanyin Lin, David Wadden, Khendra G. Lucas, Adam S. Miner, Theresa Nguyen, Tim Althoff

CoRR, 2023

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources.

Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction.

Ashish Sharma, Kevin Rushton, Inna E. Lin, David Wadden, Khendra G. Lucas, Adam S. Miner, Theresa Nguyen, Tim Althoff

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Generating recommendations for entity-oriented exploratory search.

David Wadden, Nikita Gupta, Kenton Lee, Kristina Toutanova

CoRR, 2022

MultiVerS: Improving scientific claim verification with weak supervision and full-document context.

David Wadden, Kyle Lo, Lucy Lu Wang, Arman Cohan, Iz Beltagy, Hannaneh Hajishirzi

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

SciFact-Open: Towards open-domain scientific claim verification.

David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Iz Beltagy, Lucy Lu Wang, Hannaneh Hajishirzi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Entity-Centric Query Refinement.

David Wadden, Nikita Gupta, Kenton Lee, Kristina Toutanova

Proceedings of the 4th Conference on Automated Knowledge Base Construction, 2022

Generating Scientific Claims for Zero-Shot Scientific Fact Checking.

Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Lu Wang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

LongChecker: Improving scientific claim verification by modeling full-abstract context.

David Wadden, Kyle Lo, Lucy Lu Wang, Arman Cohan, Iz Beltagy, Hannaneh Hajishirzi

CoRR, 2021

Overview and Insights from the SciVer Shared Task on Scientific Claim Verification.

David Wadden, Kyle Lo

CoRR, 2021

Extracting a Knowledge Base of Mechanisms from COVID-19 Papers.

Tom Hope, Aida Amini, David Wadden, Madeleine van Zuylen, Sravanthi Parasa, Eric Horvitz, Daniel S. Weld, Roy Schwartz, Hannaneh Hajishirzi

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

The Effect of Moderation on Online Mental Health Conversations.

David Wadden, Tal August, Qisheng Li, Tim Althoff

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study.

Rahul Nadkarni, David Wadden, Iz Beltagy, Noah A. Smith, Hannaneh Hajishirzi, Tom Hope

Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

2020

Extracting a Knowledge Base of Mechanisms from COVID-19 Papers.

Aida Amini, Tom Hope, David Wadden, Madeleine van Zuylen, Eric Horvitz, Roy Schwartz, Hannaneh Hajishirzi

CoRR, 2020

Fact or Fiction: Verifying Scientific Claims.

David Wadden, Shanchuan Lin, Kyle Lo, Lucy Lu Wang, Madeleine van Zuylen, Arman Cohan, Hannaneh Hajishirzi

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

The GCTx format and cmap{Py, R, M, J} packages: resources for optimized storage and integrated traversal of annotated dense matrices.

Oana M. Enache, David L. Lahr, Ted E. Natoli, Lev Litichevskiy, David Wadden, Corey Flynn, Joshua Gould, Jacob K. Asiedu, Rajiv Narayan, Aravind Subramanian

Bioinform., 2019

A general framework for information extraction using dynamic span graphs.

Yi Luan, Dave Wadden, Luheng He, Amy Shah, Mari Ostendorf, Hannaneh Hajishirzi

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Entity, Relation, and Event Extraction with Contextualized Span Representations.

David Wadden, Ulme Wennberg, Yi Luan, Hannaneh Hajishirzi

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019