Jay DeYoung

29 papers A* 2Misc 1Journal 15Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Improving Attributed Long-form Question Answering with Intent Awareness.
CoRR
Xinran Zhao, Aakanksha Naik, Jay DeYoung, Joseph Chee Chang, Jena D. Hwang, Tongshuang Wu, Varsha Kishore
2026 J jnl
PreScience: A Benchmark for Forecasting Scientific Contributions.
CoRR
Anirudh Ajith, Amanpreet Singh, Jay DeYoung, Nadav Kunievsky, Austin C. Kozlowski, Oyvind Tafjord, James Evans, Daniel S. Weld, Tom Hope, Doug Downey
2026 J jnl
Understanding Usage and Engagement in AI-Powered Scientific Research Tools: The Asta Interaction Dataset.
CoRR
Dany Haddad, Dan Bareket, Joseph Chee Chang, Jay DeYoung, Jena D. Hwang, Uri Katz, Mark Polak, Sangho Suh, Harshit Surana, Aryeh Tiktinsky, Shriya Atmakuri, Jonathan Bragg, Mike D'Arcy, Sergey Feldman, Amal Hassan-Ali, Ruben Lozano-Aguilera, Bodhisattwa Prasad Majumder, Charles McGrady, Amanpreet Singh, Brooke Vlahos, Yoav Goldberg, Doug Downey
2024 J jnl
Do Multi-Document Summarization Models
Trans. Assoc. Comput. Linguistics
Jay DeYoung, Stephanie C. Martinez, Iain James Marshall, Byron C. Wallace
2023 — conf
Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations.
ACL (1)
Lucy Lu Wang, Yulia Otmakhova, Jay DeYoung, Thinh Hung Truong, Bailey Kuehl, Erin Bransom, Byron C. Wallace
2023 J jnl
Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations.
CoRR
Lucy Lu Wang, Yulia Otmakhova, Jay DeYoung, Thinh Hung Truong, Bailey E. Kuehl, Erin Bransom, Byron C. Wallace
2023 J jnl
Do Multi-Document Summarization Models Synthesize?
CoRR
Jay DeYoung, Stephanie C. Martinez, Iain James Marshall, Byron C. Wallace
2023 — conf
Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMs.
MLHC
Somin Wadhwa, Jay DeYoung, Benjamin E. Nye, Silvio Amir, Byron C. Wallace
2023 J jnl
Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMs.
CoRR
Somin Wadhwa, Jay DeYoung, Benjamin E. Nye, Silvio Amir, Byron C. Wallace
2022 Misc conf
Entity Anchored ICD Coding.
AMIA
Jay DeYoung, Han-Chin Shing, Luyang Kong, Christopher Winestock, Chaitanya Shivade
2022 J jnl
Entity Anchored ICD Coding.
CoRR
Jay DeYoung, Han-Chin Shing, Luyang Kong, Christopher Winestock, Chaitanya Shivade
2022 — conf
Overview of MSLR2022: A Shared Task on Multi-document Summarization for Literature Reviews.
SDP@COLING
Lucy Lu Wang, Jay DeYoung, Byron C. Wallace
2021 J jnl
MS2: Multi-Document Summarization of Medical Studies.
CoRR
Jay DeYoung, Iz Beltagy, Madeleine van Zuylen, Bailey Kuehl, Lucy Lu Wang
2021 — conf
MS\^2: Multi-Document Summarization of Medical Studies.
EMNLP (1)
Jay DeYoung, Iz Beltagy, Madeleine van Zuylen, Bailey Kuehl, Lucy Lu Wang
2020 A* conf
ERASER: A Benchmark to Evaluate Rationalized NLP Models.
ACL
Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong, Richard Socher, Byron C. Wallace
2020 — conf
Evidence Inference 2.0: More Data, Better Models.
BioNLP
Jay DeYoung, Eric Lehman, Benjamin E. Nye, Iain James Marshall, Byron C. Wallace
2020 J jnl
Evidence Inference 2.0: More Data, Better Models.
CoRR
Jay DeYoung, Eric Lehman, Benjamin E. Nye, Iain James Marshall, Byron C. Wallace
2020 J jnl
Understanding Clinical Trial Reports: Extracting Medical Entities and Their Relations.
CoRR
Benjamin E. Nye, Jay DeYoung, Eric Lehman, Ani Nenkova, Iain James Marshall, Byron C. Wallace
2019 J jnl
ERASER: A Benchmark to Evaluate Rationalized NLP Models.
CoRR
Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong, Richard Socher, Byron C. Wallace
2019 — conf
Inferring Which Medical Treatments Work from Reports of Clinical Trials.
NAACL-HLT (1)
Eric Lehman, Jay DeYoung, Regina Barzilay, Byron C. Wallace
2019 J jnl
Inferring Which Medical Treatments Work from Reports of Clinical Trials.
CoRR
Eric Lehman, Jay DeYoung, Regina Barzilay, Byron C. Wallace
2019 A* conf
Neural-Network Lexical Translation for Cross-lingual IR from Text and Speech.
SIGIR
Rabih Zbib, Lingjun Zhao, Damianos G. Karakos, William Hartmann, Jay DeYoung, Zhongqiang Huang, Zhuolin Jiang, Noah Rivkin, Le Zhang, Richard M. Schwartz, John Makhoul
2018 J jnl
Combining rule-based and statistical mechanisms for low-resource named entity recognition.
Mach. Transl.
Ryan Gabbard, Jay DeYoung, Constantine Lignos, Marjorie Freedman, Ralph M. Weischedel
2018 J jnl
Events Beyond ACE: Curated Training for Events.
CoRR
Ryan Gabbard, Jay DeYoung, Marjorie Freedman
2017 — conf
Adept Automatic Knowledge Discovery System for Cold Start Knowledge Base Population.
TAC
Manaj Srivastava, David Trupiano, David Akodes, Ilana Heintz, Hannah Provenza, Bonan Min, Jay DeYoung, Lance A. Ramshaw, Roger Bock
2017 — conf
BBN's 2017 KBP EAL Submission.
TAC
Jay DeYoung, Yee Seng Chan, Chinnu Pittapally, Hannah Provenza, Ryan Gabbard, Marjorie Freedman
2016 — conf
Twitter at the Grammys: A Social Media Corpus for Entity Linking and Disambiguation.
SocialNLP@EMNLP
Mark Dredze, Nicholas Andrews, Jay DeYoung
2015 — conf
A Concrete Chinese NLP Pipeline.
HLT-NAACL
Nanyun Peng, Francis Ferraro, Mo Yu, Nicholas Andrews, Jay DeYoung, Max Thomas, Matthew R. Gormley, Travis Wolfe, Craig Harman, Benjamin Van Durme, Mark Dredze
2013 — conf
PARMA: A Predicate Argument Aligner.
ACL (2)
Travis Wolfe, Benjamin Van Durme, Mark Dredze, Nicholas Andrews, Charley Beller, Chris Callison-Burch, Jay DeYoung, Justin Snyder, Jonathan Weese, Tan Xu, Xuchen Yao