Emma Strubell
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
6
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Decomposing Unitization and Typing for Efficient and Consistent Span-Bound Concept Annotation. | Nupoor Gandhi, Michael Bada, Emma Strubell |
| 2025 | ACL | Energy Considerations of Large Language Model Inference and Efficiency Optimizations. | Jared Fernandez, Clara Na, Vashisth Tiwari, Yonatan Bisk, Sasha Luccioni, Emma Strubell |
| 2025 | ACL | Beyond Text: Characterizing Domain Expert Needs in Document Research. | Sireesh Gururaja, Nupoor Gandhi, Jeremiah Milbauer, Emma Strubell |
| 2025 | ACL | Stereotype or Personalization? User Identity Biases Chatbot Recommendations. | Anjali Kantharuban, Jeremiah Milbauer, Maarten Sap, Emma Strubell, Graham Neubig |
| 2025 | EMNLP | FicSim: A Dataset for Multi-Faceted Semantic Similarity in Long-Form Fiction. | Natasha Johnson, Amanda Bertsch, Maria-Emil Deal, Emma Strubell |
| 2025 | ICLR | Holistically Evaluating the Environmental Impact of Creating Language Models. | Jacob Morrison, Clara Na, Jared Fernandez, Tim Dettmers, Emma Strubell, Jesse Dodge |
| 2025 | Interspeech | On-device Streaming Discrete Speech Units. | Kwanghee Choi, Masao Someki, Emma Strubell, Shinji Watanabe |
| 2024 | ACL | OLMo: Accelerating the Science of Language Models. | 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 | ACL | AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters. | Li Lucy, Suchin Gururangan, Luca Soldaini, Emma Strubell, David Bamman, Lauren F. Klein, Jesse Dodge |
| 2024 | ACL | Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. | 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 | EMNLP | Gradient Localization Improves Lifelong Pretraining of Language Models. | Jared Fernandez, Yonatan Bisk, Emma Strubell |
| 2024 | EMNLP | Scalable Data Ablation Approximations for Language Models through Modular Training and Merging. | Clara Na, Ian Magnusson, Ananya Harsh Jha, Tom Sherborne, Emma Strubell, Jesse Dodge, Pradeep Dasigi |
| 2023 | ACL | To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering. | Dheeru Dua, Emma Strubell, Sameer Singh, Pat Verga |
| 2023 | ACL | Annotating Mentions Alone Enables Efficient Domain Adaptation for Coreference Resolution. | Nupoor Gandhi, Anjalie Field, Emma Strubell |
| 2023 | EMNLP | The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment. | Jared Fernandez, Jacob Kahn, Clara Na, Yonatan Bisk, Emma Strubell |
| 2023 | EMNLP | Understanding the Effect of Model Compression on Social Bias in Large Language Models. | Gustavo Gonalves, Emma Strubell |
| 2023 | EMNLP | To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing. | Sireesh Gururaja, Amanda Bertsch, Clara Na, David Gray Widder, Emma Strubell |
| 2023 | EMNLP | DSI++: Updating Transformer Memory with New Documents. | Sanket Vaibhav Mehta, Jai Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler |
| 2023 | EMNLP | Energy and Carbon Considerations of Fine-Tuning BERT. | Xiaorong Wang, Clara Na, Emma Strubell, Sorelle A. Friedler, Sasha Luccioni |
| 2023 | EMNLP | Data-efficient Active Learning for Structured Prediction with Partial Annotation and Self-Training. | Zhisong Zhang, Emma Strubell, Eduard H. Hovy |
| 2022 | ACL | Improving Compositional Generalization with Self-Training for Data-to-Text Generation. | Sanket Vaibhav Mehta, Jinfeng Rao, Yi Tay, Mihir Kale, Ankur Parikh, Emma Strubell |
| 2022 | EMNLP | Bridging Fairness and Environmental Sustainability in Natural Language Processing. | Marius Hessenthaler, Emma Strubell, Dirk Hovy, Anne Lauscher |
| 2022 | EMNLP | Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models. | Clara Na, Sanket Vaibhav Mehta, Emma Strubell |
| 2022 | EMNLP | Transfer Learning from Semantic Role Labeling to Event Argument Extraction with Template-based Slot Querying. | Zhisong Zhang, Emma Strubell, Eduard H. Hovy |
| 2022 | EMNLP | A Survey of Active Learning for Natural Language Processing. | Zhisong Zhang, Emma Strubell, Eduard H. Hovy |
| 2021 | EMNLP | On the Benefit of Syntactic Supervision for Cross-lingual Transfer in Semantic Role Labeling. | Zhisong Zhang, Emma Strubell, Eduard H. Hovy |
| 2020 | AAAI | Energy and Policy Considerations for Modern Deep Learning Research. | Emma Strubell, Ananya Ganesh, Andrew McCallum |
| 2019 | ACL | Energy and Policy Considerations for Deep Learning in NLP. | Emma Strubell, Ananya Ganesh, Andrew McCallum |
| 2018 | AAAI | Multi-Task Learning For Parsing The Alexa Meaning Representation Language. | Vittorio Perera, Tagyoung Chung, Thomas Kollar, Emma Strubell |
| 2018 | EMNLP | Linguistically-Informed Self-Attention for Semantic Role Labeling. | Emma Strubell, Patrick Verga, Daniel Andor, David Weiss, Andrew McCallum |
| 2018 | NAACL | Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction. | Patrick Verga, Emma Strubell, Andrew McCallum |
| 2017 | EMNLP | Dependency Parsing with Dilated Iterated Graph CNNs. | Emma Strubell, Andrew McCallum |
| 2017 | EMNLP | Fast and Accurate Entity Recognition with Iterated Dilated Convolutions. | Emma Strubell, Patrick Verga, David Belanger, Andrew McCallum |
| 2016 | NAACL | Multilingual Relation Extraction using Compositional Universal Schema. | Patrick Verga, David Belanger, Emma Strubell, Benjamin Roth, Andrew McCallum |
| 2015 | ACL | Learning Dynamic Feature Selection for Fast Sequential Prediction. | Emma Strubell, Luke Vilnis, Kate Silverstein, Andrew McCallum |