Doug Downey
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
72
Venues
18
Active years
2004–2026
Best venue rank
A*
Where they publish
Papers
72 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Generating Literature-Driven Scientific Theories at Scale. | Peter Jansen, Peter Clark, Doug Downey, Daniel S. Weld |
| 2025 | ACL | Ai2 Scholar QA: Organized Literature Synthesis with Attribution. | Amanpreet Singh, Joseph Chee Chang, Dany Haddad, Aakanksha Naik, Jena D. Hwang, Rodney Kinney, Daniel S. Weld, Doug Downey, Sergey Feldman |
| 2025 | EMNLP | Intent-aware Schema Generation and Refinement for Literature Review Tables. | Vishakh Padmakumar, Joseph Chee Chang, Kyle Lo, Doug Downey, Aakanksha Naik |
| 2025 | EMNLP | SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature. | 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 | ACL | SciMON: Scientific Inspiration Machines Optimized for Novelty. | Qingyun Wang, Doug Downey, Heng Ji, Tom Hope |
| 2024 | ACL | ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews. | Mike D'Arcy, Alexis Ross, Erin Bransom, Bailey Kuehl, Jonathan Bragg, Tom Hope, Doug Downey |
| 2024 | NAACL | TOPICAL: TOPIC Pages AutomagicaLly. | John M. Giorgi, Amanpreet Singh, Doug Downey, Sergey Feldman, Lucy Lu Wang |
| 2024 | NAACL | CARE: Extracting Experimental Findings From Clinical Literature. | Aakanksha Naik, Bailey Kuehl, Erin Bransom, Doug Downey, Tom Hope |
| 2023 | ACL | I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation. | Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Lianhui Qin, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi |
| 2023 | ACL | Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents. | Catherine Chen, Zejiang Shen, Dan Klein, Gabriel Stanovsky, Doug Downey, Kyle Lo |
| 2023 | CHI | CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context. | Joseph Chee Chang, Amy X. Zhang, Jonathan Bragg, Andrew Head, Kyle Lo, Doug Downey, Daniel S. Weld |
| 2023 | CHI | Relatedly: Scaffolding Literature Reviews with Existing Related Work Sections. | Srishti Palani, Aakanksha Naik, Doug Downey, Amy X. Zhang, Jonathan Bragg, Joseph Chee Chang |
| 2023 | EACL | Penguins Don't Fly: Reasoning about Generics through Instantiations and Exceptions. | Emily Allaway, Jena D. Hwang, Chandra Bhagavatula, Kathleen R. McKeown, Doug Downey, Yejin Choi |
| 2023 | EACL | Embedding Recycling for Language Models. | Jon Saad-Falcon, Amanpreet Singh, Luca Soldaini, Mike D'Arcy, Arman Cohan, Doug Downey |
| 2023 | EMNLP | CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies. | Arie Cattan, Tom Hope, Doug Downey, Roy Bar-Haim, Lilach Eden, Yoav Kantor, Ido Dagan |
| 2023 | EMNLP | PaperMage: A Unified Toolkit for Processing, Representing, and Manipulating Visually-Rich Scientific Documents. | 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 | EMNLP | S2abEL: A Dataset for Entity Linking from Scientific Tables. | Yuze Lou, Bailey Kuehl, Erin Bransom, Sergey Feldman, Aakanksha Naik, Doug Downey |
| 2023 | EMNLP | SciRepEval: A Multi-Format Benchmark for Scientific Document Representations. | Amanpreet Singh, Mike D'Arcy, Arman Cohan, Doug Downey, Sergey Feldman |
| 2022 | CHI | From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks. | Hyeonsu B. Kang, Rafal Kocielnik, Andrew Head, Jiangjiang Yang, Matt Latzke, Aniket Kittur, Daniel S. Weld, Doug Downey, Jonathan Bragg |
| 2022 | CHI | Exploring the Role of Local and Global Explanations in Recommender Systems. | Marissa Radensky, Doug Downey, Kyle Lo, Zoran Popovic, Daniel S. Weld |
| 2022 | CIDR | Building a Shared Conceptual Model of Complex, Heterogeneous Data Systems: A Demonstration. | 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 | EMNLP | Learning to Perform Complex Tasks through Compositional Fine-Tuning of Language Models. | Victor S. Bursztyn, David Demeter, Doug Downey, Larry Birnbaum |
| 2022 | EMNLP | ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts. | Sonia K. Murthy, Kyle Lo, Daniel King, Chandra Bhagavatula, Bailey Kuehl, Sophie Johnson, Jonathan Borchardt, Daniel S. Weld, Tom Hope, Doug Downey |
| 2022 | NAACL | Few-Shot Self-Rationalization with Natural Language Prompts. | Ana Marasovic, Iz Beltagy, Doug Downey, Matthew E. Peters |
| 2022 | UIST | FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs. | Harmanpreet Kaur, Doug Downey, Amanpreet Singh, Evie Yu-Yen Cheng, Daniel S. Weld, Jonathan Bragg |
| 2021 | CoNLL | Who's on First?: Probing the Learning and Representation Capabilities of Language Models on Deterministic Closed Domains. | David Demeter, Doug Downey |
| 2021 | EMNLP | "It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems. | Victor S. Bursztyn, Jennifer Healey, Nedim Lipka, Eunyee Koh, Doug Downey, Larry Birnbaum |
| 2021 | SIGIR | Simplified Data Wrangling with ir_datasets. | Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian |
| 2020 | AAAI | Just Add Functions: A Neural-Symbolic Language Model. | David Demeter, Doug Downey |
| 2020 | ACL | SPECTER: Document-level Representation Learning using Citation-informed Transformers. | Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, Daniel S. Weld |
| 2020 | ACL | Stolen Probability: A Structural Weakness of Neural Language Models. | David Demeter, Gregory Kimmel, Doug Downey |
| 2020 | ACL | Don't Stop Pretraining: Adapt Language Models to Domains and Tasks. | Suchin Gururangan, Ana Marasovic, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, Noah A. Smith |
| 2020 | EMNLP | G-DAug: Generative Data Augmentation for Commonsense Reasoning. | Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey |
| 2020 | ICLR | Abductive Commonsense Reasoning. | Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Wen-tau Yih, Yejin Choi |
| 2020 | SIGIR | High-Precision Extraction of Emerging Concepts from Scientific Literature. | Daniel King, Doug Downey, Daniel S. Weld |
| 2019 | AISTATS | A new evaluation framework for topic modeling algorithms based on synthetic corpora. | Hanyu Shi, Martin Gerlach, Isabel Diersen, Doug Downey, Luis A. Nunes Amaral |
| 2019 | NAACL | Using Large Corpus N-gram Statistics to Improve Recurrent Neural Language Models. | Yiben Yang, Ji-Ping Wang, Doug Downey |
| 2018 | AAAI | Controlling Global Statistics in Recurrent Neural Network Text Generation. | Thanapon Noraset, David Demeter, Doug Downey |
| 2018 | AAAI | OTyper: A Neural Architecture for Open Named Entity Typing. | Zheng Yuan, Doug Downey |
| 2018 | ACL | Sampling Informative Training Data for RNN Language Models. | Jared Fernandez, Doug Downey |
| 2018 | ACL | Extracting Commonsense Properties from Embeddings with Limited Human Guidance. | Yiben Yang, Larry Birnbaum, Ji-Ping Wang, Doug Downey |
| 2018 | EMNLP | Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models. | Thanapon Noraset, Doug Downey, Lidong Bing |
| 2018 | NAACL | Construction of the Literature Graph in Semantic Scholar. | 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 |
| 2017 | AAAI | Definition Modeling: Learning to Define Word Embeddings in Natural Language. | Thanapon Noraset, Chen Liang, Larry Birnbaum, Doug Downey |
| 2017 | AAAI | PAG2ADMG: A Novel Methodology to Enumerate Causal Graph Structures. | Nishant Subramani, Doug Downey |
| 2017 | EMNLP | VecShare: A Framework for Sharing Word Representation Vectors. | Jared Fernandez, Zhaocheng Yu, Doug Downey |
| 2016 | ICDM | Learning Hierarchically Decomposable Concepts with Active Over-Labeling. | Yuji Mo, Stephen D. Scott, Doug Downey |
| 2015 | ACL | Efficient Methods for Inferring Large Sparse Topic Hierarchies. | Doug Downey, Chandra Bhagavatula, Yi Yang |
| 2015 | EMNLP | Efficient Methods for Incorporating Knowledge into Topic Models. | Yi Yang, Doug Downey, Jordan L. Boyd-Graber |
| 2014 | ACSAC | Spam ain't as diverse as it seems: throttling OSN spam with templates underneath. | Hongyu Gao, Yi Yang, Kai Bu, Yan Chen, Doug Downey, Kathy Lee, Alok N. Choudhary |
| 2014 | EMNLP | Adding High-Precision Links to Wikipedia. | Thanapon Noraset, Chandra Bhagavatula, Doug Downey |
| 2014 | SIGIR | Analyzing the content emphasis of web search engines. | Mohammed A. Alam, Doug Downey |
| 2014 | SIGIR | WebSAIL wikifier at ERD 2014. | Thanapon Noraset, Chandra Bhagavatula, Doug Downey |
| 2013 | ACL | Scaling Semi-supervised Naive Bayes with Feature Marginals. | Michael Lucas, Doug Downey |
| 2013 | CIKM | Using natural language to integrate, evaluate, and optimize extracted knowledge bases. | Doug Downey, Chandra Sekhar Bhagavatula, Alexander Yates |
| 2013 | KDD | Methods for exploring and mining tables on Wikipedia. | Chandra Sekhar Bhagavatula, Thanapon Noraset, Doug Downey |
| 2013 | NAACL | Overcoming the Memory Bottleneck in Distributed Training of Latent Variable Models of Text. | Yi Yang, Alexander Yates, Doug Downey |
| 2012 | SIGIR | Explanatory semantic relatedness and explicit spatialization for exploratory search. | Brent J. Hecht, Samuel Carton, Mahmood Quaderi, Johannes Schning, Martin Raubal, Darren Gergle, Doug Downey |
| 2012 | SIGIR | Sentiment identification by incorporating syntax, semantics and context information. | Kunpeng Zhang, Yusheng Xie, Yu Cheng, Daniel Honbo, Doug Downey, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary |
| 2011 | ACL | Local and Global Algorithms for Disambiguation to Wikipedia. | Lev-Arie Ratinov, Dan Roth, Doug Downey, Mike Anderson |
| 2011 | CoNLL | Language Models as Representations for Weakly Supervised NLP Tasks. | Fei Huang, Alexander Yates, Arun Ahuja, Doug Downey |
| 2010 | NAACL | Improved Extraction Assessment through Better Language Models. | Arun Ahuja, Doug Downey |
| 2008 | CIKM | Understanding the relationship between searchers' queries and information goals. | Doug Downey, Susan T. Dumais, Daniel J. Liebling, Eric Horvitz |
| 2008 | EMNLP | It's a Contradiction - no, it's not: A Case Study using Functional Relations. | Alan Ritter, Stephen Soderland, Doug Downey, Oren Etzioni |
| 2007 | ACL | Sparse Information Extraction: Unsupervised Language Models to the Rescue. | Doug Downey, Stefan Schoenmackers, Oren Etzioni |
| 2007 | IJCAI | Locating Complex Named Entities in Web Text. | Doug Downey, Matthew Broadhead, Oren Etzioni |
| 2007 | IJCAI | Models of Searching and Browsing: Languages, Studies, and Application. | Doug Downey, Susan T. Dumais, Eric Horvitz |
| 2007 | SIGIR | Heads and tails: studies of web search with common and rare queries. | Doug Downey, Susan T. Dumais, Eric Horvitz |
| 2005 | IJCAI | A Probabilistic Model of Redundancy in Information Extraction. | Doug Downey, Oren Etzioni, Stephen Soderland |
| 2005 | NAACL | KnowItNow: Fast, Scalable Information Extraction from the Web. | Michael J. Cafarella, Doug Downey, Stephen Soderland, Oren Etzioni |
| 2004 | AAAI | Methods for Domain-Independent Information Extraction from the Web: An Experimental Comparison. | Oren Etzioni, Michael J. Cafarella, Doug Downey, Ana-Maria Popescu, Tal Shaked, Stephen Soderland, Daniel S. Weld, Alexander Yates |
| 2004 | WWW | Web-scale information extraction in knowitall: (preliminary results). | Oren Etzioni, Michael J. Cafarella, Doug Downey, Stanley Kok, Ana-Maria Popescu, Tal Shaked, Stephen Soderland, Daniel S. Weld, Alexander Yates |