David Wadden - RankMe

46 papers A* 3A 1Journal 25Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	2 OLMo 2 Furious. CoRR Team OLMo, Pete Walsh, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Shane Arora, Akshita Bhagia, Yuling Gu, Shengyi Huang, Matt Jordan, Nathan Lambert, Dustin Schwenk, Oyvind Tafjord, Taira Anderson, David Atkinson, Faeze Brahman, Christopher Clark, Pradeep Dasigi, Nouha Dziri, Michal Guerquin, Hamish Ivison, Pang Wei Koh, Jiacheng Liu, Saumya Malik, William Merrill, Lester James V. Miranda, Jacob Morrison, Tyler Murray, Crystal Nam, Valentina Pyatkin, Aman Rangapur, Michael Schmitz, Sam Skjonsberg, David Wadden, Christopher Wilhelm, Michael Wilson, Luke Zettlemoyer, Ali Farhadi, Noah A. Smith, Hannaneh Hajishirzi
2025	—	`conf`	HALoGEN: Fantastic LLM Hallucinations and Where to Find Them. ACL (1) Abhilasha Ravichander, Shrusti Ghela, David Wadden, Yejin Choi
2025	J	`jnl`	HALoGEN: Fantastic LLM Hallucinations and Where to Find Them. CoRR Abhilasha Ravichander, Shrusti Ghela, David Wadden, Yejin Choi
2025	A*	`conf`	OLMoE: Open Mixture-of-Experts Language Models. ICLR Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Jacob Morrison, Sewon Min, Weijia Shi, Evan Pete Walsh, Oyvind Tafjord, Nathan Lambert, Yuling Gu, Shane Arora, Akshita Bhagia, Dustin Schwenk, David Wadden, Alexander Wettig, Binyuan Hui, Tim Dettmers, Douwe Kiela, Ali Farhadi, et al.
2025	A*	`conf`	SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature. EMNLP David Wadden, Kejian Shi, Jacob Morrison, Alan Li, Aakanksha Naik, Shruti Singh, Nitzan Barzilay, Kyle Lo, Tom Hope, Luca Soldaini, Shannon Zejiang Shen, Doug Downey, Hannaneh Hajishirzi, Arman Cohan
2024	—	`conf`	CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support. ACL (Findings) Chao-Chun Hsu, Erin Bransom, Jenna Sparks, Bailey Kuehl, Chenhao Tan, David Wadden, Lucy Lu Wang, Aakanksha Naik
2024	J	`jnl`	CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support. CoRR Chao-Chun Hsu, Erin Bransom, Jenna Sparks, Bailey Kuehl, Chenhao Tan, David Wadden, Lucy Lu Wang, Aakanksha Naik
2024	—	`conf`	Estimating the Causal Effect of Early ArXiving on Paper Acceptance. CLeaR Yanai Elazar, Jiayao Zhang, David Wadden, Bo Zhang, Noah A. Smith
2024	—	`conf`	Faithful Reasoning over Scientific Claims. AAAI Spring Symposia Neset Özkan Tan, Niket Tandon, David Wadden, Oyvind Tafjord, Mark Gahegan, Michael Witbrock
2024	—	`conf`	KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions. ACL (Findings) Fangyuan Xu, Kyle Lo, Luca Soldaini, Bailey Kuehl, Eunsol Choi, David Wadden
2024	J	`jnl`	KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions. CoRR Fangyuan Xu, Kyle Lo, Luca Soldaini, Bailey Kuehl, Eunsol Choi, David Wadden
2024	—	`conf`	Language Models Hallucinate, but May Excel at Fact Verification. NAACL-HLT Jian Guan, Jesse Dodge, David Wadden, Minlie Huang, Hao Peng
2024	J	`jnl`	OLMoE: Open Mixture-of-Experts Language Models. CoRR Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Jacob Morrison, Sewon Min, Weijia Shi, Pete Walsh, Oyvind Tafjord, Nathan Lambert, Yuling Gu, Shane Arora, Akshita Bhagia, Dustin Schwenk, David Wadden, Alexander Wettig, Binyuan Hui, Tim Dettmers, Douwe Kiela, Ali Farhadi, Noah A. Smith, Pang Wei Koh, Amanpreet Singh, Hannaneh Hajishirzi
2024	J	`jnl`	OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs. CoRR 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, Minyang Tian, Pan Ji, Shengyan Liu, Hao Tong, Bohao Wu, Yanyu Xiong, Luke Zettlemoyer, Graham Neubig, Daniel S. Weld, Doug Downey, Wen-tau Yih, Pang Wei Koh, Hannaneh Hajishirzi
2024	J	`jnl`	SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature. CoRR David Wadden, Kejian Shi, Jacob Morrison, Aakanksha Naik, Shruti Singh, Nitzan Barzilay, Kyle Lo, Tom Hope, Luca Soldaini, Shannon Zejiang Shen, Doug Downey, Hannaneh Hajishirzi, Arman Cohan
2024	J	`jnl`	Source-Aware Training Enables Knowledge Attribution in Language Models. CoRR Muhammad Khalifa, David Wadden, Emma Strubell, Honglak Lee, Lu Wang, Iz Beltagy, Hao Peng
2024	—	`conf`	When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets. EACL (Findings) Orion Weller, Kyle Lo, David Wadden, Dawn J. Lawrie, Benjamin Van Durme, Arman Cohan, Luca Soldaini
2023	J	`jnl`	Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2. CoRR Hamish Ivison, Yizhong Wang, Valentina Pyatkin, Nathan Lambert, Matthew E. Peters, Pradeep Dasigi, Joel Jang, David Wadden, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi
2023	—	`conf`	Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction. ACL (1) Ashish Sharma, Kevin Rushton, Inna E. Lin, David Wadden, Khendra G. Lucas, Adam S. Miner, Theresa Nguyen, Tim Althoff
2023	J	`jnl`	Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction. CoRR Ashish Sharma, Kevin Rushton, Inna Wanyin Lin, David Wadden, Khendra G. Lucas, Adam S. Miner, Theresa Nguyen, Tim Althoff
2023	J	`jnl`	Estimating the Causal Effect of Early ArXiving on Paper Acceptance. CoRR Yanai Elazar, Jiayao Zhang, David Wadden, Bo Zhang, Noah A. Smith
2023	A*	`conf`	How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources. NeurIPS Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Raghavi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi
2023	J	`jnl`	How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources. CoRR Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Raghavi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi
2023	—	`—`	Knowledge-Intensive NLP for Real-World Information Needs David Wadden
2023	J	`jnl`	Language Models Hallucinate, but May Excel at Fact Verification. CoRR Jian Guan, Jesse Dodge, David Wadden, Minlie Huang, Hao Peng
2023	J	`jnl`	When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets. CoRR Orion Weller, Kyle Lo, David Wadden, Dawn J. Lawrie, Benjamin Van Durme, Arman Cohan, Luca Soldaini
2022	—	`conf`	Entity-Centric Query Refinement. AKBC David Wadden, Nikita Gupta, Kenton Lee, Kristina Toutanova
2022	—	`conf`	Generating Scientific Claims for Zero-Shot Scientific Fact Checking. ACL (1) Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Lu Wang
2022	J	`jnl`	Generating Scientific Claims for Zero-Shot Scientific Fact Checking. CoRR Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Lu Wang
2022	J	`jnl`	Generating recommendations for entity-oriented exploratory search. CoRR David Wadden, Nikita Gupta, Kenton Lee, Kristina Toutanova
2022	—	`conf`	MultiVerS: Improving scientific claim verification with weak supervision and full-document context. NAACL-HLT (Findings) David Wadden, Kyle Lo, Lucy Lu Wang, Arman Cohan, Iz Beltagy, Hannaneh Hajishirzi
2022	—	`conf`	SciFact-Open: Towards open-domain scientific claim verification. EMNLP (Findings) David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Iz Beltagy, Lucy Lu Wang, Hannaneh Hajishirzi
2022	J	`jnl`	SciFact-Open: Towards open-domain scientific claim verification. CoRR David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Iz Beltagy, Lucy Lu Wang, Hannaneh Hajishirzi
2021	—	`conf`	Extracting a Knowledge Base of Mechanisms from COVID-19 Papers. NAACL-HLT Tom Hope, Aida Amini, David Wadden, Madeleine van Zuylen, Sravanthi Parasa, Eric Horvitz, Daniel S. Weld, Roy Schwartz, Hannaneh Hajishirzi
2021	J	`jnl`	LongChecker: Improving scientific claim verification by modeling full-abstract context. CoRR David Wadden, Kyle Lo, Lucy Lu Wang, Arman Cohan, Iz Beltagy, Hannaneh Hajishirzi
2021	J	`jnl`	Overview and Insights from the SciVer Shared Task on Scientific Claim Verification. CoRR David Wadden, Kyle Lo
2021	—	`conf`	Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study. AKBC Rahul Nadkarni, David Wadden, Iz Beltagy, Noah A. Smith, Hannaneh Hajishirzi, Tom Hope
2021	J	`jnl`	Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study. CoRR Rahul Nadkarni, David Wadden, Iz Beltagy, Noah A. Smith, Hannaneh Hajishirzi, Tom Hope
2021	A	`conf`	The Effect of Moderation on Online Mental Health Conversations. ICWSM David Wadden, Tal August, Qisheng Li, Tim Althoff
2020	J	`jnl`	Extracting a Knowledge Base of Mechanisms from COVID-19 Papers. CoRR Aida Amini, Tom Hope, David Wadden, Madeleine van Zuylen, Eric Horvitz, Roy Schwartz, Hannaneh Hajishirzi
2020	—	`conf`	Fact or Fiction: Verifying Scientific Claims. EMNLP (1) David Wadden, Shanchuan Lin, Kyle Lo, Lucy Lu Wang, Madeleine van Zuylen, Arman Cohan, Hannaneh Hajishirzi
2020	J	`jnl`	Fact or Fiction: Verifying Scientific Claims. CoRR David Wadden, Kyle Lo, Lucy Lu Wang, Shanchuan Lin, Madeleine van Zuylen, Arman Cohan, Hannaneh Hajishirzi
2020	J	`jnl`	The Effect of Moderation on Online Mental Health Conversations. CoRR David Wadden, Tal August, Qisheng Li, Tim Althoff
2019	—	`conf`	Entity, Relation, and Event Extraction with Contextualized Span Representations. EMNLP/IJCNLP (1) David Wadden, Ulme Wennberg, Yi Luan, Hannaneh Hajishirzi
2019	J	`jnl`	Entity, Relation, and Event Extraction with Contextualized Span Representations. CoRR David Wadden, Ulme Wennberg, Yi Luan, Hannaneh Hajishirzi
2019	J	`jnl`	The GCTx format and cmap{Py, R, M, J} packages: resources for optimized storage and integrated traversal of annotated dense matrices. Bioinform. Oana M. Enache, David L. Lahr, Ted E. Natoli, Lev Litichevskiy, David Wadden, Corey Flynn, Joshua Gould, Jacob K. Asiedu, Rajiv Narayan, Aravind Subramanian