Emma Strubell

115 papers A* 14A 1C 1Journal 69Unranked 29
YearRankTypeTitle / Venue / Authors
2026 J jnl
SpreadsheetArena: Decomposing Preference in LLM Generation of Spreadsheet Workbooks.
CoRR
Srivatsa Kundurthy, Clara Na, Michael Handley, Zach Kirshner, Chen Bo Calvin Zhang, Manasi Sharma, Emma Strubell, John Ling
2025 J jnl
A view of the sustainable computing landscape.
Patterns
Benjamin C. Lee, David Brooks, Arthur van Benthem, Mariam Elgamal, Udit Gupta, Gage Hills, Vincent Liu, Linh Thi Xuan Phan, Benjamin Pierce, Christopher Stewart, Emma Strubell, Gu-Yeon Wei, Adam Wierman, Yuan Yao, Minlan Yu
2025 — conf
Beyond Text: Characterizing Domain Expert Needs in Document Research.
ACL (Findings)
Sireesh Gururaja, Nupoor Gandhi, Jeremiah Milbauer, Emma Strubell
2025 J jnl
Beyond Text: Characterizing Domain Expert Needs in Document Research.
CoRR
Sireesh Gururaja, Nupoor Gandhi, Jeremiah Milbauer, Emma Strubell
2025 J jnl
Climate Change: What is Computing's Responsibility? (Dagstuhl Perspectives Workshop 25122).
Dagstuhl Manifestos
Bran Knowles, Vicki L. Hanson, Christoph Becker, Mike Berners-Lee, Andrew A. Chien, Benoît Combemale, Vlad Coroama, Koen De Bosschere, Yi Ding, Adrian Friday, Boris Gamazaychikov, Lynda Hardman, Simon Hinterholzer, Mattias Höjer, Lynn Kaack, Lenneke Kuijer, Anne-Laure Ligozat, Jan Tobias Muehlberg, Yunmook Nah, Thomas Olsson, Anne-Cécile Orgerie, Daniel Pargman, Birgit Penzenstadler, Tom Romanoff, Emma Strubell, Colin C. Venters, Junhua Zhao
2025 J jnl
Efficient Hardware Scaling and Diminishing Returns in Large-Scale Training of Language Models.
Trans. Mach. Learn. Res.
Jared Fernandez, Luca Wehrstedt, Leonid Shamis, Mostafa Elhoushi, Kalyan Saladi, Yonatan Bisk, Emma Strubell, Jacob Kahn
2025 J jnl
Empirically-Calibrated H100 Node Power Models for Reducing Uncertainty in AI Training Energy Estimation.
CoRR
Alex C. Newkirk, Jared Fernandez, Jonathan Koomey, Imran Latif, Emma Strubell, Arman Shehabi, Constantine Samaras
2025 — conf
Energy Considerations of Large Language Model Inference and Efficiency Optimizations.
ACL (1)
Jared Fernandez, Clara Na, Vashisth Tiwari, Yonatan Bisk, Sasha Luccioni, Emma Strubell
2025 J jnl
Energy Considerations of Large Language Model Inference and Efficiency Optimizations.
CoRR
Jared Fernandez, Clara Na, Vashisth Tiwari, Yonatan Bisk, Sasha Luccioni, Emma Strubell
2025 J jnl
Expert Routing with Synthetic Data for Domain Incremental Learning.
Trans. Mach. Learn. Res.
Yewon Byun, Sanket Vaibhav Mehta, Saurabh Garg, Emma Strubell, Michael Oberst, Bryan Wilder, Zachary Chase Lipton
2025 — conf
FicSim: A Dataset for Multi-Faceted Semantic Similarity in Long-Form Fiction.
EMNLP (Findings)
Natasha Johnson, Amanda Bertsch, Maria-Emil Deal, Emma Strubell
2025 J jnl
FicSim: A Dataset for Multi-Faceted Semantic Similarity in Long-Form Fiction.
CoRR
Natasha Johnson, Amanda Bertsch, Maria-Emil Deal, Emma Strubell
2025 — conf
From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate.
FAccT
Alexandra Sasha Luccioni, Emma Strubell, Kate Crawford
2025 J jnl
From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate.
CoRR
Alexandra Sasha Luccioni, Emma Strubell, Kate Crawford
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
International AI Safety Report.
CoRR
Yoshua Bengio, Sören Mindermann, Daniel Privitera, Tamay Besiroglu, Rishi Bommasani, Stephen Casper, Yejin Choi, Philip Fox, Ben Garfinkel, Danielle Goldfarb, Hoda Heidari, Anson Ho, Sayash Kapoor, Leila Khalatbari, Shayne Longpre, Sam Manning, Vasilios Mavroudis, Mantas Mazeika, Julian Michael, Jessica Newman, Kwan Yee Ng, Chinasa T. Okolo, Inioluwa Deborah Raji, Girish Sastry, Elizabeth Seger, Theodora Skeadas, Tobin South, Emma Strubell, Florian Tramèr, Lucia Velasco, Nicole Wheeler, Daron Acemoglu, Olubayo Adekanmbi, David Dalrymple, Thomas G. Dietterich, Edward W. Felten, Pascale Fung, Pierre-Olivier Gourinchas, Fredrik Heintz, Geoffrey E. Hinton, Nick R. Jennings, Andreas Krause, Susan Leavy, Percy Liang, Teresa Ludermir, Vidushi Marda, Helen Margetts, John A. McDermid, Jane Munga, Arvind Narayanan, Alondra Nelson, Clara Neppel, Alice Oh, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Bernhard Schölkopf, Dawn Song, Alvaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Ya-Qin Zhang, Fahad Albalawi, Marwan Alserkal, Olubunmi Ajala, Guillaume Avrin, Christian Busch, André Carlos Ponce de Leon Ferreira de Carvalho, Bronwyn Fox, Amandeep Singh Gill, Ahmet Halit Hatip, Juha Heikkilä, Gill Jolly, Ziv Katzir, Hiroaki Kitano, Antonio Krüger, Chris Johnson, Saif M. Khan, Kyoung Mu Lee, Dominic Vincent Ligot, Oleksii Molchanovskyi, Andrea Monti, Nusu Mwamanzi, Mona Nemer, Nuria Oliver, José Ramón López Portillo, Balaraman Ravindran, Raquel Pezoa Rivera, Hammam Riza, Crystal Rugege, Ciarán Seoighe, Jerry Sheehan, Haroon Sheikh, Denise Wong, Yi Zeng
2025 J jnl
Kinetics: Rethinking Test-Time Scaling Laws.
CoRR
Ranajoy Sadhukhan, Zhuoming Chen, Haizhong Zheng, Yang Zhou, Emma Strubell, Beidi Chen
2025 J jnl
Misinformation by Omission: The Need for More Environmental Transparency in AI.
CoRR
Sasha Luccioni, Boris Gamazaychikov, Théo Alves Da Costa, Emma Strubell
2025 A conf
On-device Streaming Discrete Speech Units.
INTERSPEECH
Kwanghee Choi, Masao Someki, Emma Strubell, Shinji Watanabe
2025 J jnl
On-device Streaming Discrete Speech Units.
CoRR
Kwanghee Choi, Masao Someki, Emma Strubell, Shinji Watanabe
2025 — conf
Stereotype or Personalization? User Identity Biases Chatbot Recommendations.
ACL (Findings)
Anjali Kantharuban, Jeremiah Milbauer, Maarten Sap, Emma Strubell, Graham Neubig
2025 J jnl
Structured Extraction of Process Structure Properties Relationships in Materials Science.
CoRR
Amit K. Verma, Zhisong Zhang, Junwon Seo, Robin Kuo, Runbo Jiang, Emma Strubell, Anthony D. Rollett
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 J jnl
Carbon Connect: An Ecosystem for Sustainable Computing.
CoRR
Benjamin C. Lee, David Brooks, Arthur van Benthem, Udit Gupta, Gage Hills, Vincent Liu, Benjamin Pierce, Christopher Stewart, Emma Strubell, Gu-Yeon Wei, Adam Wierman, Yuan Yao, Minlan Yu
2024 J jnl
Collage: Decomposable Rapid Prototyping for Information Extraction on Scientific PDFs.
CoRR
Sireesh Gururaja, Yueheng Zhang, Guannan Tang, Tianhao Zhang, Kevin Murphy, Yu-Tsen Yi, Junwon Seo, Anthony D. Rollett, Emma Strubell
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
Generate to Discriminate: Expert Routing for Continual Learning.
CoRR
Yewon Byun, Sanket Vaibhav Mehta, Saurabh Garg, Emma Strubell, Michael Oberst, Bryan Wilder, Zachary C. Lipton
2024 — conf
Gradient Localization Improves Lifelong Pretraining of Language Models.
EMNLP (Findings)
Jared Fernandez, Yonatan Bisk, Emma Strubell
2024 J jnl
Gradient Localization Improves Lifelong Pretraining of Language Models.
CoRR
Jared Fernandez, Yonatan Bisk, Emma Strubell
2024 J jnl
Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training.
CoRR
Jared Fernandez, Luca Wehrstedt, Leonid Shamis, Mostafa Elhoushi, Kalyan Saladi, Yonatan Bisk, Emma Strubell, Jacob Kahn
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 — conf
Power Hungry Processing: Watts Driving the Cost of AI Deployment?
FAccT
Sasha Luccioni, Yacine Jernite, Emma Strubell
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 J jnl
Source-Aware Training Enables Knowledge Attribution in Language Models.
CoRR
Muhammad Khalifa, David Wadden, Emma Strubell, Honglak Lee, Lu Wang, Iz Beltagy, Hao Peng
2024 J jnl
Stereotype or Personalization? User Identity Biases Chatbot Recommendations.
CoRR
Anjali Kantharuban, Jeremiah Milbauer, Emma Strubell, Graham Neubig
2024 J jnl
What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions.
CoRR
Sang Keun Choe, Hwijeen Ahn, Juhan Bae, Kewen Zhao, Minsoo Kang, Youngseog Chung, Adithya Pratapa, Willie Neiswanger, Emma Strubell, Teruko Mitamura, Jeff G. Schneider, Eduard H. Hovy, Roger B. Grosse, Eric P. Xing
2023 J jnl
An Empirical Investigation of the Role of Pre-training in Lifelong Learning.
J. Mach. Learn. Res.
Sanket Vaibhav Mehta, Darshan Patil, Sarath Chandar, Emma Strubell
2023 — conf
Annotating Mentions Alone Enables Efficient Domain Adaptation for Coreference Resolution.
ACL (1)
Nupoor Gandhi, Anjalie Field, Emma Strubell
2023 A* conf
DSI++: Updating Transformer Memory with New Documents.
EMNLP
Sanket Vaibhav Mehta, Jai Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler
2023 — conf
Data-efficient Active Learning for Structured Prediction with Partial Annotation and Self-Training.
EMNLP (Findings)
Zhisong Zhang, Emma Strubell, Eduard H. Hovy
2023 J jnl
Data-efficient Active Learning for Structured Prediction with Partial Annotation and Self-Training.
CoRR
Zhisong Zhang, Emma Strubell, Eduard H. Hovy
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 — conf
Energy and Carbon Considerations of Fine-Tuning BERT.
EMNLP (Findings)
Xiaorong Wang, Clara Na, Emma Strubell, Sorelle A. Friedler, Sasha Luccioni
2023 J jnl
Energy and Carbon Considerations of Fine-Tuning BERT.
CoRR
Xiaorong Wang, Clara Na, Emma Strubell, Sorelle A. Friedler, Sasha Luccioni
2023 J jnl
Large Language Model Distillation Doesn't Need a Teacher.
CoRR
Ananya Harsh Jha, Dirk Groeneveld, Emma Strubell, Iz Beltagy
2023 A* conf
Making Scalable Meta Learning Practical.
NeurIPS
Sang Keun Choe, Sanket Vaibhav Mehta, Hwijeen Ahn, Willie Neiswanger, Pengtao Xie, Emma Strubell, Eric P. Xing
2023 J jnl
Making Scalable Meta Learning Practical.
CoRR
Sang Keun Choe, Sanket Vaibhav Mehta, Hwijeen Ahn, Willie Neiswanger, Pengtao Xie, Emma Strubell, Eric P. Xing
2023 — conf
On the Interactions of Structural Constraints and Data Resources for Structured Prediction.
SustaiNLP
Zhisong Zhang, Emma Strubell, Eduard H. Hovy
2023 J jnl
Power Hungry Processing: Watts Driving the Cost of AI Deployment?
CoRR
Alexandra Sasha Luccioni, Yacine Jernite, Emma Strubell
2023 J jnl
Queer People are People First: Deconstructing Sexual Identity Stereotypes in Large Language Models.
CoRR
Harnoor Dhingra, Preetiha Jayashanker, Sayali Moghe, Emma Strubell
2023 J jnl
Regularizing Self-training for Unsupervised Domain Adaptation via Structural Constraints.
CoRR
Rajshekhar Das, Jonathan Francis, Sanket Vaibhav Mehta, Jean Oh, Emma Strubell, José M. F. Moura
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 A* conf
The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment.
EMNLP
Jared Fernandez, Jacob Kahn, Clara Na, Yonatan Bisk, Emma Strubell
2023 J jnl
The Framework Tax: Disparities Between Inference Efficiency in Research and Deployment.
CoRR
Jared Fernandez, Jacob Kahn, Clara Na, Yonatan Bisk, Emma Strubell
2023 — conf
To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering.
ACL (1)
Dheeru Dua, Emma Strubell, Sameer Singh, Pat Verga
2023 A* conf
To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing.
EMNLP
Sireesh Gururaja, Amanda Bertsch, Clara Na, David Gray Widder, Emma Strubell
2023 J jnl
To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing.
CoRR
Sireesh Gururaja, Amanda Bertsch, Clara Na, David Gray Widder, Emma Strubell
2023 A* conf
Understanding the Effect of Model Compression on Social Bias in Large Language Models.
EMNLP
Gustavo Gonçalves, Emma Strubell
2023 J jnl
Understanding the Effect of Model Compression on Social Bias in Large Language Models.
CoRR
Gustavo Gonçalves, Emma Strubell
2022 A* conf
A Survey of Active Learning for Natural Language Processing.
EMNLP
Zhisong Zhang, Emma Strubell, Eduard H. Hovy
2022 J jnl
A Survey of Active Learning for Natural Language Processing.
CoRR
Zhisong Zhang, Emma Strubell, Eduard H. Hovy
2022 A* conf
Bridging Fairness and Environmental Sustainability in Natural Language Processing.
EMNLP
Marius Hessenthaler, Emma Strubell, Dirk Hovy, Anne Lauscher
2022 J jnl
Bridging Fairness and Environmental Sustainability in Natural Language Processing.
CoRR
Marius Hessenthaler, Emma Strubell, Dirk Hovy, Anne Lauscher
2022 J jnl
DSI++: Updating Transformer Memory with New Documents.
CoRR
Sanket Vaibhav Mehta, Jai Prakash Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler
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 J jnl
Error-aware Quantization through Noise Tempering.
CoRR
Zheng Wang, Juncheng B. Li, Shuhui Qu, Florian Metze, Emma Strubell
2022 — conf
Improving Compositional Generalization with Self-Training for Data-to-Text Generation.
ACL (1)
Sanket Vaibhav Mehta, Jinfeng Rao, Yi Tay, Mihir Kale, Ankur Parikh, Emma Strubell
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 J jnl
Mention Annotations Alone Enable Efficient Domain Adaptation for Coreference Resolution.
CoRR
Nupoor Gandhi, Anjalie Field, Emma Strubell
2022 J jnl
SQuAT: Sharpness- and Quantization-Aware Training for BERT.
CoRR
Zheng Wang, Juncheng B. Li, Shuhui Qu, Florian Metze, Emma Strubell
2022 J jnl
To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering.
CoRR
Dheeru Dua, Emma Strubell, Sameer Singh, Pat Verga
2022 — conf
Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models.
EMNLP (Findings)
Clara Na, Sanket Vaibhav Mehta, Emma Strubell
2022 J jnl
Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models.
CoRR
Clara Na, Sanket Vaibhav Mehta, Emma Strubell
2022 A* conf
Transfer Learning from Semantic Role Labeling to Event Argument Extraction with Template-based Slot Querying.
EMNLP
Zhisong Zhang, Emma Strubell, Eduard H. Hovy
2021 J jnl
An Empirical Investigation of the Role of Pre-training in Lifelong Learning.
CoRR
Sanket Vaibhav Mehta, Darshan Patil, Sarath Chandar, Emma Strubell
2021 — conf
Comparing Span Extraction Methods for Semantic Role Labeling.
SPNLP@ACL-IJCNLP
Zhisong Zhang, Emma Strubell, Eduard H. Hovy
2021 J jnl
Improving Compositional Generalization with Self-Training for Data-to-Text Generation.
CoRR
Sanket Vaibhav Mehta, Jinfeng Rao, Yi Tay, Mihir Kale, Ankur Parikh, Hongtao Zhong, Emma Strubell
2021 — conf
On the Benefit of Syntactic Supervision for Cross-lingual Transfer in Semantic Role Labeling.
EMNLP (1)
Zhisong Zhang, Emma Strubell, Eduard H. Hovy
2021 C conf
WiFiMod: Transformer-based Indoor Human Mobility Modeling using Passive Sensing.
COMPASS
Amee Trivedi, Kate Silverstein, Emma Strubell, Prashant J. Shenoy, Mohit Iyyer
2021 J jnl
WiFiMod: Transformer-based Indoor Human Mobility Modeling using Passive Sensing.
CoRR
Amee Trivedi, Kate Silverstein, Emma Strubell, Prashant J. Shenoy
2020 A* conf
Energy and Policy Considerations for Modern Deep Learning Research.
AAAI
Emma Strubell, Ananya Ganesh, Andrew McCallum
2020 J jnl
Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks.
J. Chem. Inf. Model.
Edward Kim, Zach Jensen, Alexander van Grootel, Kevin Huang, Matthew Staib, Sheshera Mysore, Haw-Shiuan Chang, Emma Strubell, Andrew McCallum, Stefanie Jegelka, Elsa A. Olivetti
2020 — ed.
Proceedings of the 5th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2020, Online, July 9, 2020
RepL4NLP@ACL
Spandana Gella, Johannes Welbl, Marek Rei, Fabio Petroni, Patrick Lewis, Emma Strubell, Min Joon Seo, Hannaneh Hajishirzi
2019 — conf
Energy and Policy Considerations for Deep Learning in NLP.
ACL (1)
Emma Strubell, Ananya Ganesh, Andrew McCallum
2019 J jnl
Energy and Policy Considerations for Deep Learning in NLP.
CoRR
Emma Strubell, Ananya Ganesh, Andrew McCallum
2019 J jnl
Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks.
CoRR
Edward Kim, Zach Jensen, Alexander van Grootel, Kevin Huang, Matthew Staib, Sheshera Mysore, Haw-Shiuan Chang, Emma Strubell, Andrew McCallum, Stefanie Jegelka, Elsa A. Olivetti
2019 — conf
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures.
LAW@ACL
Sheshera Mysore, Zach Jensen, Edward Kim, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, Elsa A. Olivetti
2019 J jnl
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures.
CoRR
Sheshera Mysore, Zach Jensen, Edward Kim, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, Elsa A. Olivetti
2018 A* conf
Linguistically-Informed Self-Attention for Semantic Role Labeling.
EMNLP
Emma Strubell, Patrick Verga, Daniel Andor, David Weiss, Andrew McCallum
2018 J jnl
Linguistically-Informed Self-Attention for Semantic Role Labeling.
CoRR
Emma Strubell, Patrick Verga, Daniel Andor, David Weiss, Andrew McCallum
2018 A* conf
Multi-Task Learning For Parsing The Alexa Meaning Representation Language.
AAAI
Vittorio Perera, Tagyoung Chung, Thomas Kollar, Emma Strubell
2018 — conf
Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction.
NAACL-HLT
Patrick Verga, Emma Strubell, Andrew McCallum
2018 J jnl
Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction.
CoRR
Patrick Verga, Emma Strubell, Andrew McCallum
2018 J jnl
Syntax Helps ELMo Understand Semantics: Is Syntax Still Relevant in a Deep Neural Architecture for SRL?
CoRR
Emma Strubell, Andrew McCallum
2017 — conf
Attending to All Mention Pairs for Full Abstract Biological Relation Extraction.
AKBC@NIPS
Patrick Verga, Emma Strubell, Ofer Shai, Andrew McCallum
2017 J jnl
Attending to All Mention Pairs for Full Abstract Biological Relation Extraction.
CoRR
Patrick Verga, Emma Strubell, Ofer Shai, Andrew McCallum
2017 J jnl
Automatically Extracting Action Graphs from Materials Science Synthesis Procedures.
CoRR
Sheshera Mysore, Edward Kim, Emma Strubell, Ao Liu, Haw-Shiuan Chang, Srikrishna Kompella, Kevin Huang, Andrew McCallum, Elsa A. Olivetti
2017 — conf
Dependency Parsing with Dilated Iterated Graph CNNs.
SPNLP@EMNLP
Emma Strubell, Andrew McCallum
2017 J jnl
Dependency Parsing with Dilated Iterated Graph CNNs.
CoRR
Emma Strubell, Andrew McCallum
2017 A* conf
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions.
EMNLP
Emma Strubell, Patrick Verga, David Belanger, Andrew McCallum
2017 J jnl
Fast and Accurate Sequence Labeling with Iterated Dilated Convolutions.
CoRR
Emma Strubell, Patrick Verga, David Belanger, Andrew McCallum
2016 — conf
Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema.
TAC
Haw-Shiuan Chang, Abdurrahman Munir, Ao Liu, Johnny Tian-Zheng Wei, Aaron Traylor, Ajay Nagesh, Nicholas Monath, Patrick Verga, Emma Strubell, Andrew McCallum
2016 — conf
Multilingual Relation Extraction using Compositional Universal Schema.
HLT-NAACL
Patrick Verga, David Belanger, Emma Strubell, Benjamin Roth, Andrew McCallum
2015 — conf
Building Knowledge Bases with Universal Schema: Cold Start and Slot-Filling Approaches.
TAC
Benjamin Roth, Nicholas Monath, David Belanger, Emma Strubell, Patrick Verga, Andrew McCallum
2015 — conf
Learning Dynamic Feature Selection for Fast Sequential Prediction.
ACL (1)
Emma Strubell, Luke Vilnis, Kate Silverstein, Andrew McCallum
2015 J jnl
Learning Dynamic Feature Selection for Fast Sequential Prediction.
CoRR
Emma Strubell, Luke Vilnis, Kate Silverstein, Andrew McCallum
2015 J jnl
Multilingual Relation Extraction using Compositional Universal Schema.
CoRR
Patrick Verga, David Belanger, Emma Strubell, Benjamin Roth, Andrew McCallum
2014 J jnl
Training for Fast Sequential Prediction Using Dynamic Feature Selection.
CoRR
Emma Strubell, Luke Vilnis, Andrew McCallum