Jared Fernandez

According to our database, Jared Fernandez authored at least 14 papers between 2017 and 2025.

Collaborative distances:

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

2025

Empirically-Calibrated H100 Node Power Models for Reducing Uncertainty in AI Training Energy Estimation.

Alex C. Newkirk, Jared Fernandez, Jonathan Koomey, Imran Latif, Emma Strubell, Arman Shehabi, Constantine Samaras

CoRR, June, 2025

Efficient Hardware Scaling and Diminishing Returns in Large-Scale Training of Language Models.

Jared Fernandez, Luca Wehrstedt, Leonid Shamis, Mostafa Elhoushi, Kalyan Saladi, Yonatan Bisk, Emma Strubell, Jacob Kahn

Trans. Mach. Learn. Res., 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

Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training.

Jared Fernandez, Luca Wehrstedt, Leonid Shamis, Mostafa Elhoushi, Kalyan Saladi, Yonatan Bisk, Emma Strubell, Jacob Kahn

CoRR, 2024

Gradient Localization Improves Lifelong Pretraining of Language Models.

Jared Fernandez, Yonatan Bisk, Emma Strubell

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation.

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

CoRR, 2023

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

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

CoRR, 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

2021

CIGLI: Conditional Image Generation from Language & Image.

Xiaopeng Lu, Lynnette Hui Xian Ng, Jared Fernandez, Hao Zhu

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

G-DAug: Generative Data Augmentation for Commonsense Reasoning.

Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense.

Michael Chen, Mike D'Arcy, Alisa Liu, Jared Fernandez, Doug Downey

CoRR, 2019

2018

Sampling Informative Training Data for RNN Language Models.

Jared Fernandez, Doug Downey

Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, Student Research Workshop, 2018

2017

VecShare: A Framework for Sharing Word Representation Vectors.

Jared Fernandez, Zhaocheng Yu, Doug Downey

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017