Jesse Dodge

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 59

Top Topics

Top Venues

Publications

Jian Guan, Jesse Dodge, David Wadden, Minlie Huang, Hao Peng
Language Models Hallucinate, but May Excel at Fact Verification. NAACL-HLT (2024)
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
OLMo: Accelerating the Science of Language Models. CoRR (2024)
Yuling Gu, Oyvind Tafjord, Bailey Kuehl, Dany Haddad, Jesse Dodge, Hannaneh Hajishirzi
OLMES: A Standard for Language Model Evaluations. CoRR (2024)
Li Lucy, Suchin Gururangan, Luca Soldaini, Emma Strubell, David Bamman, Lauren Klein, Jesse Dodge
AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters. CoRR (2024)
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
What's In My Big Data? ICLR (2024)
Li Lucy, Suchin Gururangan, Luca Soldaini, Emma Strubell, David Bamman, Lauren Klein, Jesse Dodge
AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters. ACL (1) (2024)
Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi 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
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. CoRR (2024)
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
What's In My Big Data? CoRR (2023)
Alexandra Chronopoulou, Matthew E. Peters, Alexander Fraser, Jesse Dodge
AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models. EACL (Findings) (2023)
Ian Magnusson, Noah A. Smith, Jesse Dodge
Reproducibility in NLP: What Have We Learned from the Checklist? CoRR (2023)
Dirk Groeneveld, Anas Awadalla, Iz Beltagy, Akshita Bhagia, Ian Magnusson, Hao Peng, Oyvind Tafjord, Pete Walsh, Kyle Richardson, Jesse Dodge
Catwalk: A Unified Language Model Evaluation Framework for Many Datasets. CoRR (2023)
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
Efficient Methods for Natural Language Processing: A Survey. Trans. Assoc. Comput. Linguistics 11 (2023)
Hancheng Cao, Jesse Dodge, Kyle Lo, Daniel A. McFarland, Lucy Lu Wang
The Rise of Open Science: Tracking the Evolution and Perceived Value of Data and Methods Link-Sharing Practices. CoRR (2023)
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
Paloma: A Benchmark for Evaluating Language Model Fit. CoRR (2023)
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
Evaluating the Social Impact of Generative AI Systems in Systems and Society. CoRR (2023)
Sofia Serrano, Jesse Dodge, Noah A. Smith
Stubborn Lexical Bias in Data and Models. CoRR (2023)
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
Surveying (Dis)Parities and Concerns of Compute Hungry NLP Research. CoRR (2023)
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
Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation. CoRR (2023)
Wanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge, Alex Fang, Youngjae Yu, Ludwig Schmidt, William Yang Wang, Yejin Choi
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text. NeurIPS (2023)
Sofia Serrano, Jesse Dodge, Noah A. Smith
Stubborn Lexical Bias in Data and Models. ACL (Findings) (2023)
Wanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge, Alex Fang, Youngjae Yu, Ludwig Schmidt, William Yang Wang, Yejin Choi
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved With Text. CoRR (2023)
Jian Guan, Jesse Dodge, David Wadden, Minlie Huang, Hao Peng
Language Models Hallucinate, but May Excel at Fact Verification. CoRR (2023)
Li Lucy, Jesse Dodge, David Bamman, Katherine A. Keith
Words as Gatekeepers: Measuring Discipline-specific Terms and Meanings in Scholarly Publications. ACL (Findings) (2023)
Ian Magnusson, Noah A. Smith, Jesse Dodge
Reproducibility in NLP: What Have We Learned from the Checklist? ACL (Findings) (2023)
Alexandra Chronopoulou, Matthew E. Peters, Alexander Fraser, Jesse Dodge
AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models. CoRR (2023)
Sheng Shen, Pete Walsh, Kurt Keutzer, Jesse Dodge, Matthew E. Peters, Iz Beltagy
Staged Training for Transformer Language Models. ICML (2022)
Samuel J. Bell, Onno Pepijn Kampman, Jesse Dodge, Neil D. Lawrence
Modeling the Machine Learning Multiverse. CoRR (2022)
Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A. Smith, Nicole DeCario, Will Buchanan
Measuring the Carbon Intensity of AI in Cloud Instances. FAccT (2022)
Samuel J. Bell, Onno Kampman, Jesse Dodge, Neil D. Lawrence
Modeling the Machine Learning Multiverse. NeurIPS (2022)
Alexandra Chronopoulou, Matthew E. Peters, Jesse Dodge
Efficient Hierarchical Domain Adaptation for Pretrained Language Models. NAACL-HLT (2022)
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
Data Governance in the Age of Large-Scale Data-Driven Language Technology. CoRR (2022)
Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A. Smith, Nicole DeCario, Will Buchanan
Measuring the Carbon Intensity of AI in Cloud Instances. CoRR (2022)
Sheng Shen, Pete Walsh, Kurt Keutzer, Jesse Dodge, Matthew E. Peters, Iz Beltagy
Staged Training for Transformer Language Models. CoRR (2022)
Ana Lucic, Maurits J. R. Bleeker, Samarth Bhargav, Jessica Forde, Koustuv Sinha, Jesse Dodge, Sasha Luccioni, Robert Stojnic
Towards Reproducible Machine Learning Research in Natural Language Processing. ACL (tutorial) (2022)
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
Findings of the WMT'22 Shared Task on Large-Scale Machine Translation Evaluation for African Languages. WMT (2022)
Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Isaac Johnson, Gerard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Dragomir R. Radev, Aaron Gokaslan, Somaieh Nikpoor, Peter Henderson, Rishi Bommasani, Margaret Mitchell
Data Governance in the Age of Large-Scale Data-Driven Language Technology. FAccT (2022)
Jesse Dodge, Iryna Gurevych, Roy Schwartz, Emma Strubell, Betty van Aken
Efficient and Equitable Natural Language Processing in the Age of Deep Learning (Dagstuhl Seminar 22232). Dagstuhl Reports 12 (6) (2022)
Li Lucy, Jesse Dodge, David Bamman, Katherine A. Keith
Words as Gatekeepers: Measuring Discipline-specific Terms and Meanings in Scholarly Publications. CoRR (2022)
Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith
Expected Validation Performance and Estimation of a Random Variable's Maximum. CoRR (2021)
Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith
Competency Problems: On Finding and Removing Artifacts in Language Data. EMNLP (1) (2021)
Jesse Dodge, Maarten Sap, Ana Marasovic, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Margaret Mitchell, Matt Gardner
Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus. EMNLP (1) (2021)
Alexandra Chronopoulou, Matthew E. Peters, Jesse Dodge
Efficient Hierarchical Domain Adaptation for Pretrained Language Models. CoRR (2021)
Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith
Competency Problems: On Finding and Removing Artifacts in Language Data. CoRR (2021)
Jesse Dodge, Maarten Sap, Ana Marasovic, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Matt Gardner
Documenting the English Colossal Clean Crawled Corpus. CoRR (2021)
Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith
Expected Validation Performance and Estimation of a Random Variable's Maximum. EMNLP (Findings) (2021)
Roy Schwartz, Gabi Stanovsky, Swabha Swayamdipta, Jesse Dodge, Noah A. Smith
The Right Tool for the Job: Matching Model and Instance Complexities. CoRR (2020)
Roy Schwartz, Jesse Dodge, Noah A. Smith, Oren Etzioni
Green AI. Commun. ACM 63 (12) (2020)
Jesse Dodge, Gabriel Ilharco, Roy Schwartz, Ali Farhadi, Hannaneh Hajishirzi, Noah A. Smith
Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping. CoRR (2020)
Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, Jesse Dodge, Noah A. Smith
The Right Tool for the Job: Matching Model and Instance Complexities. ACL (2020)
Roy Schwartz, Jesse Dodge, Noah A. Smith, Oren Etzioni
Green AI. CoRR (2019)
Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith
Show Your Work: Improved Reporting of Experimental Results. CoRR (2019)
Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith
RNN Architecture Learning with Sparse Regularization. CoRR (2019)
Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith
Show Your Work: Improved Reporting of Experimental Results. EMNLP/IJCNLP (1) (2019)
Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith
RNN Architecture Learning with Sparse Regularization. EMNLP/IJCNLP (1) (2019)
Jesse Dodge, Catrìona Anderson, Noah A. Smith
Random Search for Hyperparameters using Determinantal Point Processes. CoRR (2017)
Alexander H. Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, Jason Weston
Key-Value Memory Networks for Directly Reading Documents. CoRR (2016)
Alexander H. Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, Jason Weston
Key-Value Memory Networks for Directly Reading Documents. EMNLP (2016)
Jesse Dodge, Andreea Gane, Xiang Zhang, Antoine Bordes, Sumit Chopra, Alexander H. Miller, Arthur Szlam, Jason Weston
Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems. ICLR (Poster) (2016)
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
Large Scale Retrieval and Generation of Image Descriptions. Int. J. Comput. Vis. 119 (1) (2016)
Manaal Faruqui, Jesse Dodge, Sujay Kumar Jauhar, Chris Dyer, Eduard H. Hovy, Noah A. Smith
Retrofitting Word Vectors to Semantic Lexicons. HLT-NAACL (2015)
Sam Thomson, Brendan O'Connor, Jeffrey Flanigan, David Bamman, Jesse Dodge, Swabha Swayamdipta, Nathan Schneider, Chris Dyer, Noah A. Smith
CMU: Arc-Factored, Discriminative Semantic Dependency Parsing. SemEval@COLING (2014)
Manaal Faruqui, Jesse Dodge, Sujay Kumar Jauhar, Chris Dyer, Eduard H. Hovy, Noah A. Smith
Retrofitting Word Vectors to Semantic Lexicons. CoRR (2014)
Kenton Lee, Yoav Artzi, Jesse Dodge, Luke Zettlemoyer
Context-dependent Semantic Parsing for Time Expressions. ACL (1) (2014)
Margaret Mitchell, Jesse Dodge, Amit Goyal, Kota Yamaguchi, Karl Stratos, Xufeng Han, Alyssa C. Mensch, Alexander C. Berg, Tamara L. Berg, Hal Daumé III
Midge: Generating Image Descriptions From Computer Vision Detections. EACL (2012)
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
Detecting Visual Text. HLT-NAACL (2012)
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
Understanding and predicting importance in images. CVPR (2012)