Emma Strubell
Carnegie Mellon University
H-index: 19
North America-United States
Top articles of Emma Strubell
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Making scalable meta learning practical | Advances in neural information processing systems | Sang Choe Sanket Vaibhav Mehta Hwijeen Ahn Willie Neiswanger Pengtao Xie | 2024/2/13 |
Olmo: Accelerating the science of language models | arXiv preprint arXiv:2402.00838 | Dirk Groeneveld Iz Beltagy Pete Walsh Akshita Bhagia Rodney Kinney | 2024/2/1 |
Dolma: An Open Corpus of Three Trillion Tokens for Language Model Pretraining Research | arXiv preprint arXiv:2402.00159 | Luca Soldaini Rodney Kinney Akshita Bhagia Dustin Schwenk David Atkinson | 2024/1/31 |
AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters | arXiv preprint arXiv:2401.06408 | Li Lucy Suchin Gururangan Luca Soldaini Emma Strubell David Bamman | 2024/1/12 |
To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing | arXiv preprint arXiv:2310.07715 | Sireesh Gururaja Amanda Bertsch Clara Na David Gray Widder Emma Strubell | 2023/10/11 |
Annotating Mentions Alone Enables Efficient Domain Adaptation for Coreference Resolution | Nupoor Gandhi Anjalie Field Emma Strubell | 2023/7 | |
Regularizing Self-training for Unsupervised Domain Adaptation via Structural Constraints | arXiv preprint arXiv:2305.00131 | Rajshekhar Das Jonathan Francis Sanket Vaibhav Mehta Jean Oh Emma Strubell | 2023/4/29 |
Understanding the effect of model compression on social bias in large language models | arXiv preprint arXiv:2312.05662 | Gustavo Gonçalves Emma Strubell | 2023/12/9 |
The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment | Empirical Methods in Natural Language Processing (EMNLP) | Jared Fernandez Jacob Kahn Clara Na Yonatan Bisk Emma Strubell | 2023/2/13 |
Efficiency pentathlon: A standardized arena for efficiency evaluation | arXiv preprint arXiv:2307.09701 | Hao Peng Qingqing Cao Jesse Dodge Matthew E Peters Jared Fernandez | 2023/7/19 |
Queer people are people first: Deconstructing sexual identity stereotypes in large language models | arXiv preprint arXiv:2307.00101 | Harnoor Dhingra Preetiha Jayashanker Sayali Moghe Emma Strubell | 2023/6/30 |
Energy and Carbon Considerations of Fine-Tuning BERT | arXiv preprint arXiv:2311.10267 | Xiaorong Wang Clara Na Emma Strubell Sorelle Friedler Sasha Luccioni | 2023/11/17 |
Dissecting Efficient Architectures for Wake-Word Detection | Cody Berger Juncheng B Li Yiyuan Li Aaron Berger Dmitri Berger | 2023/7/16 | |
Efficient and equitable natural language processing in the age of deep learning (dagstuhl seminar 22232) | Jesse Dodge Iryna Gurevych Roy Schwartz Emma Strubell Betty van Aken | 2023 | |
Surveying (dis) parities and concerns of compute hungry NLP research | Ji-Ung Lee Haritz Puerto Betty van Aken Yuki Arase Jessica Zosa Forde | 2023/6/29 | |
Power Hungry Processing: Watts Driving the Cost of AI Deployment? | arXiv e-prints | Alexandra Sasha Luccioni Yacine Jernite Emma Strubell | 2023/11 |
Efficient methods for natural language processing: A survey | TACL | Marcos Treviso Tianchu Ji Ji-Ung Lee Betty van Aken Qingqing Cao | 2023/4 |
An empirical investigation of the role of pre-training in lifelong learning | Journal of Machine Learning Research | Sanket Vaibhav Mehta Darshan Patil Sarath Chandar Emma Strubell | 2023 |
Large Language Model Distillation Doesn't Need a Teacher | arXiv preprint arXiv:2305.14864 | Ananya Harsh Jha Dirk Groeneveld Emma Strubell Iz Beltagy | 2023/5/24 |
Efficiency Pentathlon: A Standardized Benchmark for Efficiency Evaluation | Hao Peng Qingqing Cao Jesse Dodge Matthew E Peters Jared Fernandez | 2023/10/13 |
Co-Authors
