Jesse Dodge

88 papers A* 12A 1Journal 50Unranked 25
YearRankTypeTitle / Venue / Authors
2026 J jnl
Brittlebench: Quantifying LLM robustness via prompt sensitivity.
CoRR
Angelika Romanou, Mark Ibrahim, Candace Ross, Chantal Shaib, Kerem Okta, Samuel J. Bell, Elia Ovalle, Jesse Dodge, Antoine Bosselut, Koustuv Sinha, Adina Williams
2025 A* conf
DataDecide: How to Predict Best Pretraining Data with Small Experiments.
ICML
Ian Magnusson, Nguyen Tai, Ben Bogin, David Heineman, Jena D. Hwang, Luca Soldaini, Akshita Bhagia, Jiacheng Liu, Dirk Groeneveld, Oyvind Tafjord, Noah A. Smith, Pang Wei Koh, Jesse Dodge
2025 J jnl
DataDecide: How to Predict Best Pretraining Data with Small Experiments.
CoRR
Ian Magnusson, Nguyen Tai, Ben Bogin, David Heineman, Jena D. Hwang, Luca Soldaini, Akshita Bhagia, Jiacheng Liu, Dirk Groeneveld, Oyvind Tafjord, Noah A. Smith, Pang Wei Koh, Jesse Dodge
2025 J jnl
Fluid Language Model Benchmarking.
CoRR
Valentin Hofmann, David Heineman, Ian Magnusson, Kyle Lo, Jesse Dodge, Maarten Sap, Pang Wei Koh, Chun Wang, Hannaneh Hajishirzi, Noah A. Smith
2025 A* conf
Holistically Evaluating the Environmental Impact of Creating Language Models.
ICLR
Jacob Morrison, Clara Na, Jared Fernandez, Tim Dettmers, Emma Strubell, Jesse Dodge
2025 J jnl
Holistically Evaluating the Environmental Impact of Creating Language Models.
CoRR
Jacob Morrison, Clara Na, Jared Fernandez, Tim Dettmers, Emma Strubell, Jesse Dodge
2025 J jnl
Investigating machine moral judgement through the Delphi experiment.
Nat. Mac. Intell.
Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jenny T. Liang, Sydney Levine, Jesse Dodge, Keisuke Sakaguchi, Maxwell Forbes, Jack Hessel, Jonathan Borchardt, Taylor Sorensen, Saadia Gabriel, Yulia Tsvetkov, Oren Etzioni, Maarten Sap, Regina Rini, Yejin Choi
2025 — conf
OLMES: A Standard for Language Model Evaluations.
NAACL (Findings)
Yuling Gu, Oyvind Tafjord, Bailey Kuehl, Dany Haddad, Jesse Dodge, Hannaneh Hajishirzi
2025 — conf
OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens.
ACL (3)
Jiacheng Liu, Taylor Blanton, Yanai Elazar, Sewon Min, Yen-Sung Chen, Arnavi Chheda-Kothary, Huy Tran, Byron Bischoff, Eric Marsh, Michael Schmitz, Cassidy Trier, Aaron Sarnat, Jenna James, Jon Borchardt, Bailey Kuehl, Evie Yu-Yen Cheng, Karen Farley, Taira Anderson, David Albright, Carissa Schoenick, Luca Soldaini, Dirk Groeneveld, Rock Yuren Pang, Pang Wei Koh, Noah A. Smith, Sophie Lebrecht, Yejin Choi, Hannaneh Hajishirzi, Ali Farhadi, Jesse Dodge
2025 J jnl
OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens.
CoRR
Jiacheng Liu, Taylor Blanton, Yanai Elazar, Sewon Min, Yen-Sung Chen, Arnavi Chheda-Kothary, Huy Tran, Byron Bischoff, Eric Marsh, Michael Schmitz, Cassidy Trier, Aaron Sarnat, Jenna James, Jon Borchardt, Bailey Kuehl, Evie Yu-Yen Cheng, Karen Farley, Sruthi Sreeram, Taira Anderson, David Albright, Carissa Schoenick, Luca Soldaini, Dirk Groeneveld, Rock Yuren Pang, Pang Wei Koh, Noah A. Smith, Sophie Lebrecht, Yejin Choi, Hannaneh Hajishirzi, Ali Farhadi, Jesse Dodge
2025 J jnl
Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track.
CoRR
Rylan Schaeffer, Joshua Kazdan, Yegor Denisov-Blanch, Brando Miranda, Matthias Gerstgrasser, Susan Zhang, Andreas Haupt, Isha Gupta, Elyas Obbad, Jesse Dodge, Jessica Zosa Forde, Koustuv Sinha, Francesco Orabona, Sanmi Koyejo, David L. Donoho
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 J jnl
Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation.
CoRR
David Heineman, Valentin Hofmann, Ian Magnusson, Yuling Gu, Noah A. Smith, Hannaneh Hajishirzi, Kyle Lo, Jesse Dodge
2025 J jnl
The Generative AI Ethics Playbook.
CoRR
Jessie J. Smith, Wesley Hanwen Deng, William H. Smith, Maarten Sap, Nicole DeCario, Jesse Dodge
2024 — conf
AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters.
ACL (1)
Li Lucy, Suchin Gururangan, Luca Soldaini, Emma Strubell, David Bamman, Lauren F. Klein, Jesse Dodge
2024 J jnl
AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters.
CoRR
Li Lucy, Suchin Gururangan, Luca Soldaini, Emma Strubell, David Bamman, Lauren F. Klein, Jesse Dodge
2024 — conf
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.
ACL (1)
Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Raghavi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo
2024 J jnl
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.
CoRR
Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Raghavi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo
2024 J jnl
Establishing Task Scaling Laws via Compute-Efficient Model Ladders.
CoRR
Akshita Bhagia, Jiacheng Liu, Alexander Wettig, David Heineman, Oyvind Tafjord, Ananya Harsh Jha, Luca Soldaini, Noah A. Smith, Dirk Groeneveld, Pang Wei Koh, Jesse Dodge, Hannaneh Hajishirzi
2024 — conf
Language Models Hallucinate, but May Excel at Fact Verification.
NAACL-HLT
Jian Guan, Jesse Dodge, David Wadden, Minlie Huang, Hao Peng
2024 — conf
Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging.
EMNLP (Findings)
Jacob Morrison, Noah A. Smith, Hannaneh Hajishirzi, Pang Wei Koh, Jesse Dodge, Pradeep Dasigi
2024 J jnl
Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging.
CoRR
Jacob Morrison, Noah A. Smith, Hannaneh Hajishirzi, Pang Wei Koh, Jesse Dodge, Pradeep Dasigi
2024 J jnl
OLMES: A Standard for Language Model Evaluations.
CoRR
Yuling Gu, Oyvind Tafjord, Bailey Kuehl, Dany Haddad, Jesse Dodge, Hannaneh Hajishirzi
2024 — conf
OLMo: Accelerating the Science of Language Models.
ACL (1)
Dirk Groeneveld, Iz Beltagy, Evan Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi
2024 J jnl
OLMo: Accelerating the Science of Language Models.
CoRR
Dirk Groeneveld, Iz Beltagy, Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi
2024 A* conf
Paloma: A Benchmark for Evaluating Language Model Fit.
NeurIPS
Ian Magnusson, Akshita Bhagia, Valentin Hofmann, Luca Soldaini, Ananya Harsh Jha, Oyvind Tafjord, Dustin Schwenk, Evan Pete Walsh, Yanai Elazar, Kyle Lo, Dirk Groeneveld, Iz Beltagy, Hanna Hajishirzi, Noah A. Smith, Kyle Richardson, Jesse Dodge
2024 A* conf
Scalable Data Ablation Approximations for Language Models through Modular Training and Merging.
EMNLP
Clara Na, Ian Magnusson, Ananya Harsh Jha, Tom Sherborne, Emma Strubell, Jesse Dodge, Pradeep Dasigi
2024 J jnl
Scalable Data Ablation Approximations for Language Models through Modular Training and Merging.
CoRR
Clara Na, Ian Magnusson, Ananya Harsh Jha, Tom Sherborne, Emma Strubell, Jesse Dodge, Pradeep Dasigi
2024 A* conf
What's In My Big Data?
ICLR
Yanai Elazar, Akshita Bhagia, Ian Magnusson, Abhilasha Ravichander, Dustin Schwenk, Alane Suhr, Evan Pete Walsh, Dirk Groeneveld, Luca Soldaini, Sameer Singh, Hannaneh Hajishirzi, Noah A. Smith, Jesse Dodge
2023 — conf
AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models.
EACL (Findings)
Alexandra Chronopoulou, Matthew E. Peters, Alexander Fraser, Jesse Dodge
2023 J jnl
AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models.
CoRR
Alexandra Chronopoulou, Matthew E. Peters, Alexander Fraser, Jesse Dodge
2023 J jnl
Catwalk: A Unified Language Model Evaluation Framework for Many Datasets.
CoRR
Dirk Groeneveld, Anas Awadalla, Iz Beltagy, Akshita Bhagia, Ian Magnusson, Hao Peng, Oyvind Tafjord, Pete Walsh, Kyle Richardson, Jesse Dodge
2023 J jnl
Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation.
CoRR
Hao Peng, Qingqing Cao, Jesse Dodge, Matthew E. Peters, Jared Fernandez, Tom Sherborne, Kyle Lo, Sam Skjonsberg, Emma Strubell, Darrell Plessas, Iz Beltagy, Evan Pete Walsh, Noah A. Smith, Hannaneh Hajishirzi
2023 J jnl
Efficient Methods for Natural Language Processing: A Survey.
Trans. Assoc. Comput. Linguistics
Marcos V. Treviso, Ji-Ung Lee, Tianchu Ji, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Colin Raffel, Pedro Henrique Martins, André F. T. Martins, Jessica Zosa Forde, Peter A. Milder, Edwin Simpson, Noam Slonim, Jesse Dodge, Emma Strubell, Niranjan Balasubramanian, Leon Derczynski, Iryna Gurevych, Roy Schwartz
2023 J jnl
Evaluating the Social Impact of Generative AI Systems in Systems and Society.
CoRR
Irene Solaiman, Zeerak Talat, William Agnew, Lama Ahmad, Dylan K. Baker, Su Lin Blodgett, Hal Daumé III, Jesse Dodge, Ellie Evans, Sara Hooker, Yacine Jernite, Alexandra Sasha Luccioni, Alberto Lusoli, Margaret Mitchell, Jessica Newman, Marie-Therese Png, Andrew Strait, Apostol Vassilev
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
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved With Text.
CoRR
Wanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge, Alex Fang, Youngjae Yu, Ludwig Schmidt, William Yang Wang, Yejin Choi
2023 A* conf
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text.
NeurIPS
Wanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge, Alex Fang, Youngjae Yu, Ludwig Schmidt, William Yang Wang, Yejin Choi
2023 J jnl
Paloma: A Benchmark for Evaluating Language Model Fit.
CoRR
Ian Magnusson, Akshita Bhagia, Valentin Hofmann, Luca Soldaini, Ananya Harsh Jha, Oyvind Tafjord, Dustin Schwenk, Evan Pete Walsh, Yanai Elazar, Kyle Lo, Dirk Groeneveld, Iz Beltagy, Hannaneh Hajishirzi, Noah A. Smith, Kyle Richardson, Jesse Dodge
2023 — conf
Reproducibility in NLP: What Have We Learned from the Checklist?
ACL (Findings)
Ian Magnusson, Noah A. Smith, Jesse Dodge
2023 J jnl
Reproducibility in NLP: What Have We Learned from the Checklist?
CoRR
Ian Magnusson, Noah A. Smith, Jesse Dodge
2023 — conf
Stubborn Lexical Bias in Data and Models.
ACL (Findings)
Sofia Serrano, Jesse Dodge, Noah A. Smith
2023 J jnl
Stubborn Lexical Bias in Data and Models.
CoRR
Sofia Serrano, Jesse Dodge, Noah A. Smith
2023 J jnl
Surveying (Dis)Parities and Concerns of Compute Hungry NLP Research.
CoRR
Ji-Ung Lee, Haritz Puerto, Betty van Aken, Yuki Arase, Jessica Zosa Forde, Leon Derczynski, Andreas Rücklé, Iryna Gurevych, Roy Schwartz, Emma Strubell, Jesse Dodge
2023 J jnl
The Rise of Open Science: Tracking the Evolution and Perceived Value of Data and Methods Link-Sharing Practices.
CoRR
Hancheng Cao, Jesse Dodge, Kyle Lo, Daniel A. McFarland, Lucy Lu Wang
2023 J jnl
What's In My Big Data?
CoRR
Yanai Elazar, Akshita Bhagia, Ian Magnusson, Abhilasha Ravichander, Dustin Schwenk, Alane Suhr, Pete Walsh, Dirk Groeneveld, Luca Soldaini, Sameer Singh, Hanna Hajishirzi, Noah A. Smith, Jesse Dodge
2023 — conf
Words as Gatekeepers: Measuring Discipline-specific Terms and Meanings in Scholarly Publications.
ACL (Findings)
Li Lucy, Jesse Dodge, David Bamman, Katherine A. Keith
2022 — conf
Data Governance in the Age of Large-Scale Data-Driven Language Technology.
FAccT
Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Isaac Johnson, Gérard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Dragomir R. Radev, Aaron Gokaslan, Somaieh Nikpoor, Peter Henderson, Rishi Bommasani, Margaret Mitchell
2022 J jnl
Data Governance in the Age of Large-Scale Data-Driven Language Technology.
CoRR
Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Gérard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Isaac Johnson, Dragomir R. Radev, Somaieh Nikpoor, Jörg Frohberg, Aaron Gokaslan, Peter Henderson, Rishi Bommasani, Margaret Mitchell
2022 — conf
Efficient Hierarchical Domain Adaptation for Pretrained Language Models.
NAACL-HLT
Alexandra Chronopoulou, Matthew E. Peters, Jesse Dodge
2022 J jnl
Efficient and Equitable Natural Language Processing in the Age of Deep Learning (Dagstuhl Seminar 22232).
Dagstuhl Reports
Jesse Dodge, Iryna Gurevych, Roy Schwartz, Emma Strubell, Betty van Aken
2022 — conf
Findings of the WMT'22 Shared Task on Large-Scale Machine Translation Evaluation for African Languages.
WMT
David Ifeoluwa Adelani, Md Mahfuz Ibn Alam, Antonios Anastasopoulos, Akshita Bhagia, Marta R. Costa-jussà, Jesse Dodge, Fahim Faisal, Christian Federmann, Natalia Fedorova, Francisco Guzmán, Sergey Koshelev, Jean Maillard, Vukosi Marivate, Jonathan Mbuya, Alexandre Mourachko, Safiyyah Saleem, Holger Schwenk, Guillaume Wenzek
2022 — conf
Measuring the Carbon Intensity of AI in Cloud Instances.
FAccT
Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A. Smith, Nicole DeCario, Will Buchanan
2022 J jnl
Measuring the Carbon Intensity of AI in Cloud Instances.
CoRR
Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A. Smith, Nicole DeCario, Will Buchanan
2022 A* conf
Modeling the Machine Learning Multiverse.
NeurIPS
Samuel J. Bell, Onno Kampman, Jesse Dodge, Neil D. Lawrence
2022 J jnl
Modeling the Machine Learning Multiverse.
CoRR
Samuel J. Bell, Onno Pepijn Kampman, Jesse Dodge, Neil D. Lawrence
2022 A* conf
Staged Training for Transformer Language Models.
ICML
Sheng Shen, Pete Walsh, Kurt Keutzer, Jesse Dodge, Matthew E. Peters, Iz Beltagy
2022 J jnl
Staged Training for Transformer Language Models.
CoRR
Sheng Shen, Pete Walsh, Kurt Keutzer, Jesse Dodge, Matthew E. Peters, Iz Beltagy
2022 — conf
Towards Reproducible Machine Learning Research in Natural Language Processing.
ACL (tutorial)
Ana Lucic, Maurits J. R. Bleeker, Samarth Bhargav, Jessica Zosa Forde, Koustuv Sinha, Jesse Dodge, Sasha Luccioni, Robert Stojnic
2022 J jnl
Words as Gatekeepers: Measuring Discipline-specific Terms and Meanings in Scholarly Publications.
CoRR
Li Lucy, Jesse Dodge, David Bamman, Katherine A. Keith
2021 — conf
Competency Problems: On Finding and Removing Artifacts in Language Data.
EMNLP (1)
Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith
2021 J jnl
Competency Problems: On Finding and Removing Artifacts in Language Data.
CoRR
Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith
2021 — conf
Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus.
EMNLP (1)
Jesse Dodge, Maarten Sap, Ana Marasovic, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Margaret Mitchell, Matt Gardner
2021 J jnl
Documenting the English Colossal Clean Crawled Corpus.
CoRR
Jesse Dodge, Maarten Sap, Ana Marasovic, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Matt Gardner
2021 J jnl
Efficient Hierarchical Domain Adaptation for Pretrained Language Models.
CoRR
Alexandra Chronopoulou, Matthew E. Peters, Jesse Dodge
2021 — conf
Expected Validation Performance and Estimation of a Random Variable's Maximum.
EMNLP (Findings)
Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith
2021 J jnl
Expected Validation Performance and Estimation of a Random Variable's Maximum.
CoRR
Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith
2020 J jnl
Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping.
CoRR
Jesse Dodge, Gabriel Ilharco, Roy Schwartz, Ali Farhadi, Hannaneh Hajishirzi, Noah A. Smith
2020 J jnl
Green AI.
Commun. ACM
Roy Schwartz, Jesse Dodge, Noah A. Smith, Oren Etzioni
2020 A* conf
The Right Tool for the Job: Matching Model and Instance Complexities.
ACL
Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, Jesse Dodge, Noah A. Smith
2020 J jnl
The Right Tool for the Job: Matching Model and Instance Complexities.
CoRR
Roy Schwartz, Gabi Stanovsky, Swabha Swayamdipta, Jesse Dodge, Noah A. Smith
2019 J jnl
Green AI.
CoRR
Roy Schwartz, Jesse Dodge, Noah A. Smith, Oren Etzioni
2019 — conf
RNN Architecture Learning with Sparse Regularization.
EMNLP/IJCNLP (1)
Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith
2019 J jnl
RNN Architecture Learning with Sparse Regularization.
CoRR
Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith
2019 — conf
Show Your Work: Improved Reporting of Experimental Results.
EMNLP/IJCNLP (1)
Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith
2019 J jnl
Show Your Work: Improved Reporting of Experimental Results.
CoRR
Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith
2017 J jnl
Random Search for Hyperparameters using Determinantal Point Processes.
CoRR
Jesse Dodge, Catrìona Anderson, Noah A. Smith
2016 A* conf
Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems.
ICLR (Poster)
Jesse Dodge, Andreea Gane, Xiang Zhang, Antoine Bordes, Sumit Chopra, Alexander H. Miller, Arthur Szlam, Jason Weston
2016 A* conf
Key-Value Memory Networks for Directly Reading Documents.
EMNLP
Alexander H. Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, Jason Weston
2016 J jnl
Key-Value Memory Networks for Directly Reading Documents.
CoRR
Alexander H. Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, Jason Weston
2016 J jnl
Large Scale Retrieval and Generation of Image Descriptions.
Int. J. Comput. Vis.
Vicente Ordonez, Xufeng Han, Polina Kuznetsova, Girish Kulkarni, Margaret Mitchell, Kota Yamaguchi, Karl Stratos, Amit Goyal, Jesse Dodge, Alyssa C. Mensch, Hal Daumé III, Alexander C. Berg, Yejin Choi, Tamara L. Berg
2015 — conf
Retrofitting Word Vectors to Semantic Lexicons.
HLT-NAACL
Manaal Faruqui, Jesse Dodge, Sujay Kumar Jauhar, Chris Dyer, Eduard H. Hovy, Noah A. Smith
2014 — conf
CMU: Arc-Factored, Discriminative Semantic Dependency Parsing.
SemEval@COLING
Sam Thomson, Brendan O'Connor, Jeffrey Flanigan, David Bamman, Jesse Dodge, Swabha Swayamdipta, Nathan Schneider, Chris Dyer, Noah A. Smith
2014 — conf
Context-dependent Semantic Parsing for Time Expressions.
ACL (1)
Kenton Lee, Yoav Artzi, Jesse Dodge, Luke Zettlemoyer
2014 J jnl
Retrofitting Word Vectors to Semantic Lexicons.
CoRR
Manaal Faruqui, Jesse Dodge, Sujay Kumar Jauhar, Chris Dyer, Eduard H. Hovy, Noah A. Smith
2012 — conf
Detecting Visual Text.
HLT-NAACL
Jesse Dodge, Amit Goyal, Xufeng Han, Alyssa C. Mensch, Margaret Mitchell, Karl Stratos, Kota Yamaguchi, Yejin Choi, Hal Daumé III, Alexander C. Berg, Tamara L. Berg
2012 A conf
Midge: Generating Image Descriptions From Computer Vision Detections.
EACL
Margaret Mitchell, Jesse Dodge, Amit Goyal, Kota Yamaguchi, Karl Stratos, Xufeng Han, Alyssa C. Mensch, Alexander C. Berg, Tamara L. Berg, Hal Daumé III
2012 A* conf
Understanding and predicting importance in images.
CVPR
Alexander C. Berg, Tamara L. Berg, Hal Daumé III, Jesse Dodge, Amit Goyal, Xufeng Han, Alyssa C. Mensch, Margaret Mitchell, Aneesh Sood, Karl Stratos, Kota Yamaguchi