Entity, Relation, and Event Extraction with Contextualized Span Representations. - David Wadden; Ulme Wennberg; Yi Luan; Hannaneh Hajishirzi (EMNLP/IJCNLP (1), 2019)

A general framework for information extraction using dynamic span graphs. - Yi Luan; Dave Wadden; Luheng He; Amy Shah; Mari Ostendorf; Hannaneh Hajishirzi (NAACL-HLT (1), 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)

Fact or Fiction: Verifying Scientific Claims. - David Wadden; Shanchuan Lin; Kyle Lo; Lucy Lu Wang; Madeleine van Zuylen; Arman Cohan; Hannaneh Hajishirzi (EMNLP (1), 2020)

Extracting a Knowledge Base of Mechanisms from COVID-19 Papers. - Aida Amini; Tom Hope; David Wadden; Madeleine van Zuylen; Eric Horvitz; Roy Schwartz 001; Hannaneh Hajishirzi (CoRR, 2020)

Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study. - Rahul Nadkarni; David Wadden; Iz Beltagy; Noah A. Smith; Hannaneh Hajishirzi; Tom Hope (AKBC, 2021)

The Effect of Moderation on Online Mental Health Conversations. - David Wadden; Tal August; Qisheng Li; Tim Althoff (ICWSM, 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 001; Hannaneh Hajishirzi (NAACL-HLT, 2021)

Overview and Insights from the SciVer Shared Task on Scientific Claim Verification. - David Wadden; Kyle Lo (CoRR, 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)

Generating Scientific Claims for Zero-Shot Scientific Fact Checking. - Dustin Wright 001; David Wadden; Kyle Lo; Bailey Kuehl; Arman Cohan; Isabelle Augenstein; Lucy Lu Wang (ACL (1), 2022)

Entity-Centric Query Refinement. - David Wadden; Nikita Gupta; Kenton Lee; Kristina Toutanova (AKBC, 2022)

SciFact-Open: Towards open-domain scientific claim verification. - David Wadden; Kyle Lo; Bailey Kuehl; Arman Cohan; Iz Beltagy; Lucy Lu Wang; Hannaneh Hajishirzi (EMNLP (Findings), 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 (NAACL-HLT (Findings), 2022)

Generating recommendations for entity-oriented exploratory search. - David Wadden; Nikita Gupta; Kenton Lee; Kristina Toutanova (CoRR, 2022)

Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction. - Ashish Sharma 004; Kevin Rushton; Inna E. Lin; David Wadden; Khendra G. Lucas; Adam S. Miner; Theresa Nguyen; Tim Althoff (ACL (1), 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 (NeurIPS, 2023)

Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction. - Ashish Sharma 004; Kevin Rushton; Inna Wanyin Lin; David Wadden; Khendra G. Lucas; Adam S. Miner; Theresa Nguyen; Tim Althoff (CoRR, 2023)

Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2. - Hamish Ivison; Yizhong Wang; Valentina Pyatkin; Nathan Lambert 001; Matthew E. Peters; Pradeep Dasigi; Joel Jang; David Wadden; Noah A. Smith; Iz Beltagy; Hannaneh Hajishirzi (CoRR, 2023)

Knowledge-Intensive NLP for Real-World Information Needs - David Wadden (2023)

Faithful Reasoning over Scientific Claims. - Neset Özkan Tan; Niket Tandon; David Wadden; Oyvind Tafjord; Mark Gahegan; Michael Witbrock (AAAI Spring Symposia, 2024)

CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support. - Chao-Chun Hsu; Erin Bransom; Jenna Sparks; Bailey Kuehl; Chenhao Tan; David Wadden; Lucy Lu Wang; Aakanksha Naik (ACL (Findings), 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 (ACL (Findings), 2024)

Estimating the Causal Effect of Early ArXiving on Paper Acceptance. - Yanai Elazar; Jiayao Zhang 001; David Wadden; Bo Zhang; Noah A. Smith (CLeaR, 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 (EACL (Findings), 2024)

Language Models Hallucinate, but May Excel at Fact Verification. - Jian Guan 002; Jesse Dodge; David Wadden; Minlie Huang; Hao Peng 009 (NAACL-HLT, 2024)

Source-Aware Training Enables Knowledge Attribution in Language Models. - Muhammad Khalifa; David Wadden; Emma Strubell; Honglak Lee; Lu Wang 008; Iz Beltagy; Hao Peng 009 (CoRR, 2024)

SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature. - David Wadden; Kejian Shi; Jacob Morrison; Aakanksha Naik; Shruti Singh 001; Nitzan Barzilay; Kyle Lo; Tom Hope; Luca Soldaini; Shannon Zejiang Shen; Doug Downey; Hannaneh Hajishirzi; et al. (CoRR, 2024)

OLMoE: Open Mixture-of-Experts Language Models. - Niklas Muennighoff; Luca Soldaini; Dirk Groeneveld; Kyle Lo; Jacob Morrison; Sewon Min; Weijia Shi; Pete Walsh; Oyvind Tafjord; Nathan Lambert 001; Yuling Gu; Shane Arora; et al. (CoRR, 2024)

OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs. - Akari Asai; Jacqueline He; Rulin Shao; Weijia Shi; Amanpreet Singh; Joseph Chee Chang; Kyle Lo; Luca Soldaini; Sergey Feldman; Mike D'Arcy; David Wadden; Matt Latzke; et al. (CoRR, 2024)

HALoGEN: Fantastic LLM Hallucinations and Where to Find Them. - Abhilasha Ravichander; Shrusti Ghela; David Wadden; Yejin Choi 001 (ACL (1), 2025)

OLMoE: Open Mixture-of-Experts Language Models. - Niklas Muennighoff; Luca Soldaini; Dirk Groeneveld; Kyle Lo; Jacob Morrison; Sewon Min; Weijia Shi; Evan Pete Walsh; Oyvind Tafjord; Nathan Lambert 001; Yuling Gu; Shane Arora; et al. (ICLR, 2025)

2 OLMo 2 Furious. - Team OLMo; Pete Walsh; Luca Soldaini; Dirk Groeneveld; Kyle Lo; Shane Arora; Akshita Bhagia; Yuling Gu; Shengyi Huang; Matt Jordan; Nathan Lambert 001; Dustin Schwenk; et al. (CoRR, 2025)