Clara Na

According to our database, Clara Na authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Holistically Evaluating the Environmental Impact of Creating Language Models.

Jacob Morrison, Clara Na, Jared Fernandez, Tim Dettmers, Emma Strubell, Jesse Dodge

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Energy Considerations of Large Language Model Inference and Efficiency Optimizations.

Jared Fernandez, Clara Na, Vashisth Tiwari, Yonatan Bisk, Sasha Luccioni, Emma Strubell

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

The Framework Tax: Disparities Between Inference Efficiency in Research and Deployment.

Jared Fernandez, Jacob Kahn, Clara Na, Yonatan Bisk, Emma Strubell

CoRR, 2023

Energy and Carbon Considerations of Fine-Tuning BERT.

Xiaorong Wang, Clara Na, Emma Strubell, Sorelle A. Friedler, Sasha Luccioni

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment.

Jared Fernandez, Jacob Kahn, Clara Na, Yonatan Bisk, Emma Strubell

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models.

Clara Na, Sanket Vaibhav Mehta, Emma Strubell

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022