| 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 | ICLR | Holistically Evaluating the Environmental Impact of Creating Language Models. | Jacob Morrison, Clara Na, Jared Fernandez, Tim Dettmers, Emma Strubell, Jesse Dodge |
| 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 | 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 | 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 | Energy and Carbon Considerations of Fine-Tuning BERT. | Xiaorong Wang, Clara Na, Emma Strubell, Sorelle A. Friedler, Sasha Luccioni |
| 2022 | EMNLP | Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models. | Clara Na, Sanket Vaibhav Mehta, Emma Strubell |