Doug Downey

151 papers A* 36A 6B 3Journal 68Unranked 38
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deep Research, Shallow Evaluation: A Case Study in Meta-Evaluation for Long-Form QA Benchmarks.
CoRR
Jena D. Hwang, Varsha Kishore, Amanpreet Singh, Dany Haddad, Aakanksha Naik, Malachi Hamada, Jonathan Bragg, Mike D'Arcy, Daniel S. Weld, Lucy Lu Wang, Doug Downey, Sergey Feldman
2026 J jnl
Generating Literature-Driven Scientific Theories at Scale.
CoRR
Peter Jansen, Peter Clark, Doug Downey, Daniel S. Weld
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
2025 — conf
Ai2 Scholar QA: Organized Literature Synthesis with Attribution.
ACL (3)
Amanpreet Singh, Joseph Chee Chang, Dany Haddad, Aakanksha Naik, Jena D. Hwang, Rodney Kinney, Daniel S. Weld, Doug Downey, Sergey Feldman
2025 J jnl
Ai2 Scholar QA: Organized Literature Synthesis with Attribution.
CoRR
Amanpreet Singh, Joseph Chee Chang, Chloe Anastasiades, Dany Haddad, Aakanksha Naik, Amber Tanaka, Angele Zamarron, Cecile Nguyen, Jena D. Hwang, Jason Dunkleberger, Matt Latzke, Smita Rao, Jaron Lochner, Rob Evans, Rodney Kinney, Daniel S. Weld, Doug Downey, Sergey Feldman
2025 J jnl
AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite.
CoRR
Jonathan Bragg, Mike D'Arcy, Nishant Balepur, Dan Bareket, Bhavana Dalvi, Sergey Feldman, Dany Haddad, Jena D. Hwang, Peter A. Jansen, Varsha Kishore, Bodhisattwa Prasad Majumder, Aakanksha Naik, Sigal Rahamimov, Kyle Richardson, Amanpreet Singh, Harshit Surana, Aryeh Tiktinsky, Rosni Vasu, Guy Wiener, Chloe Anastasiades, Stefan Candra, Jason Dunkelberger, Dan Emery, Rob Evans, Malachi Hamada, Regan Huff, Rodney Kinney, Matt Latzke, Jaron Lochner, Ruben Lozano-Aguilera, Cecile Nguyen, Smita Rao, Amber Tanaka, Brooke Vlahos, Peter Clark, Doug Downey, Yoav Goldberg, Ashish Sabharwal, Daniel S. Weld
2025 J jnl
Demystifying Scientific Problem-Solving in LLMs by Probing Knowledge and Reasoning.
CoRR
Alan Li, Yixin Liu, Arpan Sarkar, Doug Downey, Arman Cohan
2025 — conf
Intent-aware Schema Generation and Refinement for Literature Review Tables.
EMNLP (Findings)
Vishakh Padmakumar, Joseph Chee Chang, Kyle Lo, Doug Downey, Aakanksha Naik
2025 J jnl
Preference Learning from Physics-Based Feedback: Tuning Language Models to Design BCC/B2 Superalloys.
CoRR
Satanu Ghosh, Collin Holgate, Neal R. Brodnik, Doug Downey, Samantha H. Daly, Tresa M. Pollock, Samuel Carton
2025 J jnl
SciArena: An Open Evaluation Platform for Foundation Models in Scientific Literature Tasks.
CoRR
Yilun Zhao, Kaiyan Zhang, Tiansheng Hu, Sihong Wu, Ronan Le Bras, Taira Anderson, Jonathan Bragg, Joseph Chee Chang, Jesse Dodge, Matt Latzke, Yixin Liu, Charles McGrady, Xiangru Tang, Zihang Wang, Chen Zhao, Hannaneh Hajishirzi, Doug Downey, Arman Cohan
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
2025 J jnl
Setting The Table with Intent: Intent-aware Schema Generation and Editing for Literature Review Tables.
CoRR
Vishakh Padmakumar, Joseph Chee Chang, Kyle Lo, Doug Downey, Aakanksha Naik
2024 — conf
ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews.
ACL (1)
Mike D'Arcy, Alexis Ross, Erin Bransom, Bailey Kuehl, Jonathan Bragg, Tom Hope, Doug Downey
2024 — conf
CARE: Extracting Experimental Findings From Clinical Literature.
NAACL-HLT (Findings)
Aakanksha Naik, Bailey Kuehl, Erin Bransom, Doug Downey, Tom Hope
2024 J jnl
MARG: Multi-Agent Review Generation for Scientific Papers.
CoRR
Mike D'Arcy, Tom Hope, Larry Birnbaum, Doug Downey
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 — conf
SciMON: Scientific Inspiration Machines Optimized for Novelty.
ACL (1)
Qingyun Wang, Doug Downey, Heng Ji, Tom Hope
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 — conf
TOPICAL: TOPIC Pages AutomagicaLly.
NAACL (Demonstrations)
John M. Giorgi, Amanpreet Singh, Doug Downey, Sergey Feldman, Lucy Lu Wang
2024 J jnl
TOPICAL: TOPIC Pages AutomagicaLly.
CoRR
John M. Giorgi, Amanpreet Singh, Doug Downey, Sergey Feldman, Lucy Lu Wang
2024 J jnl
The Semantic Reader Project.
Commun. ACM
Kyle Lo, Joseph Chee Chang, Andrew Head, Jonathan Bragg, Amy X. Zhang, Cassidy Trier, Chloe Anastasiades, Tal August, Russell Authur, Danielle Bragg, Erin Bransom, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Yen-Sung Chen, Evie Yu-Yen Cheng, Yvonne Chou, Doug Downey, Rob Evans, Raymond Fok, Fangzhou Hu, Regan Huff, Dongyeop Kang, Tae Soo Kim, Rodney Kinney, Aniket Kittur, Hyeonsu B. Kang, Egor Klevak, Bailey Kuehl, Michael Langan, Matt Latzke, Jaron Lochner, Kelsey MacMillan, Eric Marsh, Tyler Murray, Aakanksha Naik, Ngoc-Uyen Nguyen, Srishti Palani, Soya Park, Caroline Paulic, Napol Rachatasumrit, Smita Rao, Paul Sayre, Zejiang Shen, Pao Siangliulue, Luca Soldaini, Huy Tran, Madeleine van Zuylen, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Marti A. Hearst, Daniel S. Weld
2023 J jnl
A Computational Inflection for Scientific Discovery.
Commun. ACM
Tom Hope, Doug Downey, Daniel S. Weld, Oren Etzioni, Eric Horvitz
2023 J jnl
ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews.
CoRR
Mike D'Arcy, Alexis Ross, Erin Bransom, Bailey Kuehl, Jonathan Bragg, Tom Hope, Doug Downey
2023 — conf
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents.
ACL (Findings)
Catherine Chen, Zejiang Shen, Dan Klein, Gabriel Stanovsky, Doug Downey, Kyle Lo
2023 J jnl
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents.
CoRR
Catherine Chen, Zejiang Shen, Dan Klein, Gabriel Stanovsky, Doug Downey, Kyle Lo
2023 J jnl
Beyond Summarization: Designing AI Support for Real-World Expository Writing Tasks.
CoRR
Zejiang Shen, Tal August, Pao Siangliulue, Kyle Lo, Jonathan Bragg, Jeff Hammerbacher, Doug Downey, Joseph Chee Chang, David A. Sontag
2023 J jnl
CARE: Extracting Experimental Findings From Clinical Literature.
CoRR
Aakanksha Naik, Bailey Kuehl, Erin Bransom, Doug Downey, Tom Hope
2023 — conf
CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies.
EMNLP (Demos)
Arie Cattan, Tom Hope, Doug Downey, Roy Bar-Haim, Lilach Eden, Yoav Kantor, Ido Dagan
2023 J jnl
CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies.
CoRR
Arie Cattan, Tom Hope, Doug Downey, Roy Bar-Haim, Lilach Eden, Yoav Kantor, Ido Dagan
2023 A* conf
CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context.
CHI
Joseph Chee Chang, Amy X. Zhang, Jonathan Bragg, Andrew Head, Kyle Lo, Doug Downey, Daniel S. Weld
2023 J jnl
CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context.
CoRR
Joseph Chee Chang, Amy X. Zhang, Jonathan Bragg, Andrew Head, Kyle Lo, Doug Downey, Daniel S. Weld
2023 — conf
Embedding Recycling for Language Models.
EACL (Findings)
Jon Saad-Falcon, Amanpreet Singh, Luca Soldaini, Mike D'Arcy, Arman Cohan, Doug Downey
2023 — conf
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation.
ACL (1)
Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Lianhui Qin, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi
2023 J jnl
LIMEADE: From AI Explanations to Advice Taking.
ACM Trans. Interact. Intell. Syst.
Benjamin Charles Germain Lee, Doug Downey, Kyle Lo, Daniel S. Weld
2023 J jnl
Learning to Generate Novel Scientific Directions with Contextualized Literature-based Discovery.
CoRR
Qingyun Wang, Doug Downey, Heng Ji, Tom Hope
2023 — conf
PaperMage: A Unified Toolkit for Processing, Representing, and Manipulating Visually-Rich Scientific Documents.
EMNLP (Demos)
Kyle Lo, Zejiang Shen, Benjamin Newman, Joseph Chee Chang, Russell Authur, Erin Bransom, Stefan Candra, Yoganand Chandrasekhar, Regan Huff, Bailey Kuehl, Amanpreet Singh, Chris Wilhelm, Angele Zamarron, Marti A. Hearst, Daniel S. Weld, Doug Downey, Luca Soldaini
2023 A conf
Penguins Don't Fly: Reasoning about Generics through Instantiations and Exceptions.
EACL
Emily Allaway, Jena D. Hwang, Chandra Bhagavatula, Kathleen R. McKeown, Doug Downey, Yejin Choi
2023 A* conf
Relatedly: Scaffolding Literature Reviews with Existing Related Work Sections.
CHI
Srishti Palani, Aakanksha Naik, Doug Downey, Amy X. Zhang, Jonathan Bragg, Joseph Chee Chang
2023 J jnl
Relatedly: Scaffolding Literature Reviews with Existing Related Work Sections.
CoRR
Srishti Palani, Aakanksha Naik, Doug Downey, Amy X. Zhang, Jonathan Bragg, Joseph Chee Chang
2023 A* conf
S2abEL: A Dataset for Entity Linking from Scientific Tables.
EMNLP
Yuze Lou, Bailey Kuehl, Erin Bransom, Sergey Feldman, Aakanksha Naik, Doug Downey
2023 J jnl
S2abEL: A Dataset for Entity Linking from Scientific Tables.
CoRR
Yuze Lou, Bailey Kuehl, Erin Bransom, Sergey Feldman, Aakanksha Naik, Doug Downey
2023 A* conf
SciRepEval: A Multi-Format Benchmark for Scientific Document Representations.
EMNLP
Amanpreet Singh, Mike D'Arcy, Arman Cohan, Doug Downey, Sergey Feldman
2023 J jnl
The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces.
CoRR
Kyle Lo, Joseph Chee Chang, Andrew Head, Jonathan Bragg, Amy X. Zhang, Cassidy Trier, Chloe Anastasiades, Tal August, Russell Authur, Danielle Bragg, Erin Bransom, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Yen-Sung Chen, Evie Yu-Yen Cheng, Yvonne Chou, Doug Downey, Rob Evans, Raymond Fok, Fangzhou Hu, Regan Huff, Dongyeop Kang, Tae Soo Kim, Rodney Kinney, Aniket Kittur, Hyeonsu B. Kang, Egor Klevak, Bailey Kuehl, Michael Langan, Matt Latzke, Jaron Lochner, Kelsey MacMillan, Eric Marsh, Tyler Murray, Aakanksha Naik, Ngoc-Uyen Nguyen, Srishti Palani, Soya Park, Caroline Paulic, Napol Rachatasumrit, Smita Rao, Paul Sayre, Zejiang Shen, Pao Siangliulue, Luca Soldaini, Huy Tran, Madeleine van Zuylen, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Marti A. Hearst, Daniel S. Weld
2023 J jnl
The Semantic Scholar Open Data Platform.
CoRR
Rodney Kinney, Chloe Anastasiades, Russell Authur, Iz Beltagy, Jonathan Bragg, Alexandra Buraczynski, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Arman Cohan, Miles Crawford, Doug Downey, Jason Dunkelberger, Oren Etzioni, Rob Evans, Sergey Feldman, Joseph Gorney, David Graham, Fangzhou Hu, Regan Huff, Daniel King, Sebastian Kohlmeier, Bailey Kuehl, Michael Langan, Daniel Lin, Haokun Liu, Kyle Lo, Jaron Lochner, Kelsey MacMillan, Tyler Murray, Chris Newell, Smita Rao, Shaurya Rohatgi, Paul Sayre, Zejiang Shen, Amanpreet Singh, Luca Soldaini, Shivashankar Subramanian, Amber Tanaka, Alex D. Wade, Linda Wagner, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Madeleine van Zuylen, Daniel S. Weld
2022 J jnl
A Computational Inflection for Scientific Discovery.
CoRR
Tom Hope, Doug Downey, Oren Etzioni, Daniel S. Weld, Eric Horvitz
2022 J jnl
ABNIRML: Analyzing the Behavior of Neural IR Models.
Trans. Assoc. Comput. Linguistics
Sean MacAvaney, Sergey Feldman, Nazli Goharian, Doug Downey, Arman Cohan
2022 — conf
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts.
EMNLP (Demos)
Sonia K. Murthy, Kyle Lo, Daniel King, Chandra Bhagavatula, Bailey Kuehl, Sophie Johnson, Jonathan Borchardt, Daniel S. Weld, Tom Hope, Doug Downey
2022 J jnl
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts.
CoRR
Sonia K. Murthy, Kyle Lo, Daniel King, Chandra Bhagavatula, Bailey Kuehl, Sophie Johnson, Jonathan Borchardt, Daniel S. Weld, Tom Hope, Doug Downey
2022 A conf
Building a Shared Conceptual Model of Complex, Heterogeneous Data Systems: A Demonstration.
CIDR
Michael R. Anderson, Yuze Lou, Jiayun Zou, Michael J. Cafarella, Sarah E. Chasins, Doug Downey, Tian Gao, Kexin Huang, Dinghao Shen, Jenny M. Vo-Phamhi, Yitong Wang, Yuning Wang, Anna Zeng
2022 — conf
CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction.
AKBC
Tara Safavi, Doug Downey, Tom Hope
2022 J jnl
CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction.
CoRR
Tara Safavi, Doug Downey, Tom Hope
2022 J jnl
Don't Say What You Don't Know: Improving the Consistency of Abstractive Summarization by Constraining Beam Search.
CoRR
Daniel King, Zejiang Shen, Nishant Subramani, Daniel S. Weld, Iz Beltagy, Doug Downey
2022 J jnl
Embedding Recycling for Language Models.
CoRR
Jon Saad-Falcon, Amanpreet Singh, Luca Soldaini, Mike D'Arcy, Arman Cohan, Doug Downey
2022 — conf
Exploring the Role of Local and Global Explanations in Recommender Systems.
CHI Extended Abstracts
Marissa Radensky, Doug Downey, Kyle Lo, Zoran Popovic, Daniel S. Weld
2022 A* conf
FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs.
UIST
Harmanpreet Kaur, Doug Downey, Amanpreet Singh, Evie Yu-Yen Cheng, Daniel S. Weld, Jonathan Bragg
2022 J jnl
FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs.
CoRR
Harmanpreet Kaur, Doug Downey, Amanpreet Singh, Evie Yu-Yen Cheng, Daniel S. Weld, Jonathan Bragg
2022 — conf
Few-Shot Self-Rationalization with Natural Language Prompts.
NAACL-HLT (Findings)
Ana Marasovic, Iz Beltagy, Doug Downey, Matthew E. Peters
2022 A* conf
From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks.
CHI
Hyeonsu B. Kang, Rafal Kocielnik, Andrew Head, Jiangjiang Yang, Matt Latzke, Aniket Kittur, Daniel S. Weld, Doug Downey, Jonathan Bragg
2022 J jnl
From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks.
CoRR
Hyeonsu B. Kang, Rafal Kocielnik, Andrew Head, Jiangjiang Yang, Matt Latzke, Aniket Kittur, Daniel S. Weld, Doug Downey, Jonathan Bragg
2022 J jnl
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation.
CoRR
Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi
2022 J jnl
Infrastructure for Rapid Open Knowledge Network Development.
AI Mag.
Michael J. Cafarella, Michael R. Anderson, Iz Beltagy, Arie Cattan, Sarah E. Chasins, Ido Dagan, Doug Downey, Oren Etzioni, Sergey Feldman, Tian Gao, Tom Hope, Kexin Huang, Sophie Johnson, Daniel King, Kyle Lo, Yuze Lou, Matthew D. Shapiro, Dinghao Shen, Shivashankar Subramanian, Lucy Lu Wang, Yuning Wang, Yitong Wang, Daniel S. Weld, Jenny M. Vo-Phamhi, Anna Zeng, Jiayun Zou
2022 — conf
Learning to Perform Complex Tasks through Compositional Fine-Tuning of Language Models.
EMNLP (Findings)
Victor S. Bursztyn, David Demeter, Doug Downey, Larry Birnbaum
2022 J jnl
Learning to Perform Complex Tasks through Compositional Fine-Tuning of Language Models.
CoRR
Victor S. Bursztyn, David Demeter, Doug Downey, Larry Birnbaum
2022 J jnl
Multi-LexSum: Real-World Summaries of Civil Rights Lawsuits at Multiple Granularities.
CoRR
Zejiang Shen, Kyle Lo, Lauren Yu, Nathan Dahlberg, Margo Schlanger, Doug Downey
2022 A* conf
Multi-LexSum: Real-world Summaries of Civil Rights Lawsuits at Multiple Granularities.
NeurIPS
Zejiang Shen, Kyle Lo, Lauren Yu, Nathan Dahlberg, Margo Schlanger, Doug Downey
2022 J jnl
Penguins Don't Fly: Reasoning about Generics through Instantiations and Exceptions.
CoRR
Emily Allaway, Jena D. Hwang, Chandra Bhagavatula, Kathleen R. McKeown, Doug Downey, Yejin Choi
2022 — conf
S2AMP: a high-coverage dataset of scholarly mentorship inferred from publications.
JCDL
Shaurya Rohatgi, Doug Downey, Daniel King, Sergey Feldman
2022 J jnl
SciRepEval: A Multi-Format Benchmark for Scientific Document Representations.
CoRR
Amanpreet Singh, Mike D'Arcy, Arman Cohan, Doug Downey, Sergey Feldman
2022 J jnl
VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groups.
Trans. Assoc. Comput. Linguistics
Zejiang Shen, Kyle Lo, Lucy Lu Wang, Bailey Kuehl, Daniel S. Weld, Doug Downey
2021 — conf
"It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems.
EMNLP (1)
Victor S. Bursztyn, Jennifer Healey, Nedim Lipka, Eunyee Koh, Doug Downey, Larry Birnbaum
2021 J jnl
"It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems.
CoRR
Victor S. Bursztyn, Jennifer Healey, Nedim Lipka, Eunyee Koh, Doug Downey, Larry Birnbaum
2021 — conf
CODE: Compiler-based Neuron-aware Ensemble training.
MLSys
Ettore M. G. Trainiti, Thanapon Noraset, David Demeter, Doug Downey, Simone Campanoni
2021 J jnl
Exploring The Role of Local and Global Explanations in Recommender Systems.
CoRR
Marissa Radensky, Doug Downey, Kyle Lo, Zoran Popovic, Daniel S. Weld
2021 J jnl
Few-Shot Self-Rationalization with Natural Language Prompts.
CoRR
Ana Marasovic, Iz Beltagy, Doug Downey, Matthew E. Peters
2021 J jnl
Incorporating Visual Layout Structures for Scientific Text Classification.
CoRR
Zejiang Shen, Kyle Lo, Lucy Lu Wang, Bailey Kuehl, Daniel S. Weld, Doug Downey
2021 — conf
S2AND: A Benchmark and Evaluation System for Author Name Disambiguation.
JCDL
Shivashankar Subramanian, Daniel King, Doug Downey, Sergey Feldman
2021 J jnl
S2AND: A Benchmark and Evaluation System for Author Name Disambiguation.
CoRR
Shivashankar Subramanian, Daniel King, Doug Downey, Sergey Feldman
2021 — conf
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts.
AKBC
Arie Cattan, Sophie Johnson, Daniel S. Weld, Ido Dagan, Iz Beltagy, Doug Downey, Tom Hope
2021 J jnl
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts.
CoRR
Arie Cattan, Sophie Johnson, Daniel S. Weld, Ido Dagan, Iz Beltagy, Doug Downey, Tom Hope
2021 A* conf
Simplified Data Wrangling with ir_datasets.
SIGIR
Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian
2021 J jnl
Simplified Data Wrangling with ir_datasets.
CoRR
Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian
2021 B conf
Who's on First?: Probing the Learning and Representation Capabilities of Language Models on Deterministic Closed Domains.
CoNLL
David Demeter, Doug Downey
2020 J jnl
ABNIRML: Analyzing the Behavior of Neural IR Models.
CoRR
Sean MacAvaney, Sergey Feldman, Nazli Goharian, Doug Downey, Arman Cohan
2020 A* conf
Abductive Commonsense Reasoning.
ICLR
Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Wen-tau Yih, Yejin Choi
2020 A* conf
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks.
ACL
Suchin Gururangan, Ana Marasovic, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, Noah A. Smith
2020 J jnl
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks.
CoRR
Suchin Gururangan, Ana Marasovic, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, Noah A. Smith
2020 J jnl
Explanation-Based Tuning of Opaque Machine Learners with Application to Paper Recommendation.
CoRR
Benjamin Charles Germain Lee, Kyle Lo, Doug Downey, Daniel S. Weld
2020 J jnl
G-DAUG: Generative Data Augmentation for Commonsense Reasoning.
CoRR
Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey
2020 — conf
G-DAug: Generative Data Augmentation for Commonsense Reasoning.
EMNLP (Findings)
Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey
2020 A* conf
High-Precision Extraction of Emerging Concepts from Scientific Literature.
SIGIR
Daniel King, Doug Downey, Daniel S. Weld
2020 J jnl
High-Precision Extraction of Emerging Concepts from Scientific Literature.
CoRR
Daniel King, Doug Downey, Daniel S. Weld
2020 A* conf
Just Add Functions: A Neural-Symbolic Language Model.
AAAI
David Demeter, Doug Downey
2020 A conf
Practical Methods for Semi-automated Peer Grading in a Classroom Setting.
UMAP
Zheng Yuan, Doug Downey
2020 A* conf
SPECTER: Document-level Representation Learning using Citation-informed Transformers.
ACL
Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, Daniel S. Weld
2020 J jnl
SPECTER: Document-level Representation Learning using Citation-informed Transformers.
CoRR
Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, Daniel S. Weld
2020 A* conf
Stolen Probability: A Structural Weakness of Neural Language Models.
ACL
David Demeter, Gregory Kimmel, Doug Downey
2020 J jnl
Stolen Probability: A Structural Weakness of Neural Language Models.
CoRR
David Demeter, Gregory Kimmel, Doug Downey
2019 — conf
A Semantic Cover Approach for Topic Modeling.
*SEM@NAACL-HLT
Rajagopal Venkatesaramani, Doug Downey, Bradley A. Malin, Yevgeniy Vorobeychik
2019 A conf
A new evaluation framework for topic modeling algorithms based on synthetic corpora.
AISTATS
Hanyu Shi, Martin Gerlach, Isabel Diersen, Doug Downey, Luis A. Nunes Amaral
2019 J jnl
A new evaluation framework for topic modeling algorithms based on synthetic corpora.
CoRR
Hanyu Shi, Martin Gerlach, Isabel Diersen, Doug Downey, Luis A. Nunes Amaral
2019 J jnl
Abductive Commonsense Reasoning.
CoRR
Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Scott Wen-tau Yih, Yejin Choi
2019 J jnl
CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense.
CoRR
Michael Chen, Mike D'Arcy, Alisa Liu, Jared Fernandez, Doug Downey
2019 J jnl
Just Add Functions: A Neural-Symbolic Language Model.
CoRR
David Demeter, Doug Downey
2019 J jnl
Multi-sense Definition Modeling using Word Sense Decompositions.
CoRR
Ruimin Zhu, Thanapon Noraset, Alisa Liu, Wenxin Jiang, Doug Downey
2019 — conf
Using Large Corpus N-gram Statistics to Improve Recurrent Neural Language Models.
NAACL-HLT (1)
Yiben Yang, Ji-Ping Wang, Doug Downey
2018 — conf
Construction of the Literature Graph in Semantic Scholar.
NAACL-HLT (3)
Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, Iz Beltagy, Miles Crawford, Doug Downey, Jason Dunkelberger, Ahmed Elgohary, Sergey Feldman, Vu Ha, Rodney Kinney, Sebastian Kohlmeier, Kyle Lo, Tyler Murray, Hsu-Han Ooi, Matthew E. Peters, Joanna Power, Sam Skjonsberg, Lucy Lu Wang, Chris Wilhelm, Zheng Yuan, Madeleine van Zuylen, Oren Etzioni
2018 J jnl
Construction of the Literature Graph in Semantic Scholar.
CoRR
Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, Iz Beltagy, Miles Crawford, Doug Downey, Jason Dunkelberger, Ahmed Elgohary, Sergey Feldman, Vu Ha, Rodney Kinney, Sebastian Kohlmeier, Kyle Lo, Tyler Murray, Hsu-Han Ooi, Matthew E. Peters, Joanna Power, Sam Skjonsberg, Lucy Lu Wang, Chris Wilhelm, Zheng Yuan, Madeleine van Zuylen, Oren Etzioni
2018 A* conf
Controlling Global Statistics in Recurrent Neural Network Text Generation.
AAAI
Thanapon Noraset, David Demeter, Doug Downey
2018 A* conf
Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models.
EMNLP
Thanapon Noraset, Doug Downey, Lidong Bing
2018 — conf
Extracting Commonsense Properties from Embeddings with Limited Human Guidance.
ACL (2)
Yiben Yang, Larry Birnbaum, Ji-Ping Wang, Doug Downey
2018 A* conf
OTyper: A Neural Architecture for Open Named Entity Typing.
AAAI
Zheng Yuan, Doug Downey
2018 — conf
Sampling Informative Training Data for RNN Language Models.
ACL (3)
Jared Fernandez, Doug Downey
2017 A* conf
Definition Modeling: Learning to Define Word Embeddings in Natural Language.
AAAI
Thanapon Noraset, Chen Liang, Larry Birnbaum, Doug Downey
2017 A* conf
PAG2ADMG: A Novel Methodology to Enumerate Causal Graph Structures.
AAAI
Nishant Subramani, Doug Downey
2017 A* conf
VecShare: A Framework for Sharing Word Representation Vectors.
EMNLP
Jared Fernandez, Zhaocheng Yu, Doug Downey
2016 J jnl
Beating the Artificial Chaos: Fighting OSN Spam Using Its Own Templates.
IEEE/ACM Trans. Netw.
Tiantian Zhu, Hongyu Gao, Yi Yang, Kai Bu, Yan Chen, Doug Downey, Kathy Lee, Alok N. Choudhary
2016 J jnl
Definition Modeling: Learning to define word embeddings in natural language.
CoRR
Thanapon Noraset, Chen Liang, Larry Birnbaum, Doug Downey
2016 A* conf
Learning Hierarchically Decomposable Concepts with Active Over-Labeling.
ICDM
Yuji Mo, Stephen D. Scott, Doug Downey
2015 A* conf
Efficient Methods for Incorporating Knowledge into Topic Models.
EMNLP
Yi Yang, Doug Downey, Jordan L. Boyd-Graber
2015 — conf
Efficient Methods for Inferring Large Sparse Topic Hierarchies.
ACL (1)
Doug Downey, Chandra Bhagavatula, Yi Yang
2015 — conf
TabEL: Entity Linking in Web Tables.
ISWC (1)
Chandra Sekhar Bhagavatula, Thanapon Noraset, Doug Downey
2014 A* conf
Adding High-Precision Links to Wikipedia.
EMNLP
Thanapon Noraset, Chandra Bhagavatula, Doug Downey
2014 A* conf
Analyzing the content emphasis of web search engines.
SIGIR
Mohammed A. Alam, Doug Downey
2014 J jnl
Learning Representations for Weakly Supervised Natural Language Processing Tasks.
Comput. Linguistics
Fei Huang, Arun Ahuja, Doug Downey, Yi Yang, Yuhong Guo, Alexander Yates
2014 A conf
Spam ain't as diverse as it seems: throttling OSN spam with templates underneath.
ACSAC
Hongyu Gao, Yi Yang, Kai Bu, Yan Chen, Doug Downey, Kathy Lee, Alok N. Choudhary
2014 — conf
WebSAIL wikifier at ERD 2014.
ERD@SIGIR
Thanapon Noraset, Chandra Bhagavatula, Doug Downey
2013 B conf
A probabilistic graphical model for brand reputation assessment in social networks.
ASONAM
Kunpeng Zhang, Doug Downey, Zhengzhang Chen, Yusheng Xie, Yu Cheng, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary
2013 — conf
Methods for exploring and mining tables on Wikipedia.
IDEA@KDD
Chandra Sekhar Bhagavatula, Thanapon Noraset, Doug Downey
2013 — conf
Overcoming the Memory Bottleneck in Distributed Training of Latent Variable Models of Text.
HLT-NAACL
Yi Yang, Alexander Yates, Doug Downey
2013 — conf
Scaling Semi-supervised Naive Bayes with Feature Marginals.
ACL (1)
Michael Lucas, Doug Downey
2013 — conf
Using natural language to integrate, evaluate, and optimize extracted knowledge bases.
AKBC@CIKM
Doug Downey, Chandra Sekhar Bhagavatula, Alexander Yates
2013 — conf
WebSAIL Wikifier: English Entity Linking at TAC 2013.
TAC
Thanapon Noraset, Chandra Bhagavatula, Yi Yang, Doug Downey
2012 A* conf
Explanatory semantic relatedness and explicit spatialization for exploratory search.
SIGIR
Brent J. Hecht, Samuel Carton, Mahmood Quaderi, Johannes Schöning, Martin Raubal, Darren Gergle, Doug Downey
2012 A* conf
Sentiment identification by incorporating syntax, semantics and context information.
SIGIR
Kunpeng Zhang, Yusheng Xie, Yu Cheng, Daniel Honbo, Doug Downey, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary
2011 B conf
Language Models as Representations for Weakly Supervised NLP Tasks.
CoNLL
Fei Huang, Alexander Yates, Arun Ahuja, Doug Downey
2011 A* conf
Local and Global Algorithms for Disambiguation to Wikipedia.
ACL
Lev-Arie Ratinov, Dan Roth, Doug Downey, Mike Anderson
2010 J jnl
Analysis of a probabilistic model of redundancy in unsupervised information extraction.
Artif. Intell.
Doug Downey, Oren Etzioni, Stephen Soderland
2010 — conf
Improved Extraction Assessment through Better Language Models.
HLT-NAACL
Arun Ahuja, Doug Downey
2008 A* conf
It's a Contradiction - no, it's not: A Case Study using Functional Relations.
EMNLP
Alan Ritter, Stephen Soderland, Doug Downey, Oren Etzioni
2008 — conf
Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification.
NIPS
Doug Downey, Oren Etzioni
2008 A conf
Understanding the relationship between searchers' queries and information goals.
CIKM
Doug Downey, Susan T. Dumais, Daniel J. Liebling, Eric Horvitz
2007 A* conf
Heads and tails: studies of web search with common and rare queries.
SIGIR
Doug Downey, Susan T. Dumais, Eric Horvitz
2007 A* conf
Locating Complex Named Entities in Web Text.
IJCAI
Doug Downey, Matthew Broadhead, Oren Etzioni
2007 A* conf
Models of Searching and Browsing: Languages, Studies, and Application.
IJCAI
Doug Downey, Susan T. Dumais, Eric Horvitz
2007 A* conf
Sparse Information Extraction: Unsupervised Language Models to the Rescue.
ACL
Doug Downey, Stefan Schoenmackers, Oren Etzioni
2005 A* conf
A Probabilistic Model of Redundancy in Information Extraction.
IJCAI
Doug Downey, Oren Etzioni, Stephen Soderland
2005 — conf
KnowItNow: Fast, Scalable Information Extraction from the Web.
HLT/EMNLP
Michael J. Cafarella, Doug Downey, Stephen Soderland, Oren Etzioni
2005 J jnl
Unsupervised named-entity extraction from the Web: An experimental study.
Artif. Intell.
Oren Etzioni, Michael J. Cafarella, Doug Downey, Ana-Maria Popescu, Tal Shaked, Stephen Soderland, Daniel S. Weld, Alexander Yates
2004 A* conf
Methods for Domain-Independent Information Extraction from the Web: An Experimental Comparison.
AAAI
Oren Etzioni, Michael J. Cafarella, Doug Downey, Ana-Maria Popescu, Tal Shaked, Stephen Soderland, Daniel S. Weld, Alexander Yates
2004 A* conf
Web-scale information extraction in knowitall: (preliminary results).
WWW
Oren Etzioni, Michael J. Cafarella, Doug Downey, Stanley Kok, Ana-Maria Popescu, Tal Shaked, Stephen Soderland, Daniel S. Weld, Alexander Yates