Jared Fernandez

19 papers A* 3Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Efficient Hardware Scaling and Diminishing Returns in Large-Scale Training of Language Models.
Trans. Mach. Learn. Res.
Jared Fernandez, Luca Wehrstedt, Leonid Shamis, Mostafa Elhoushi, Kalyan Saladi, Yonatan Bisk, Emma Strubell, Jacob Kahn
2025 J jnl
Empirically-Calibrated H100 Node Power Models for Reducing Uncertainty in AI Training Energy Estimation.
CoRR
Alex C. Newkirk, Jared Fernandez, Jonathan Koomey, Imran Latif, Emma Strubell, Arman Shehabi, Constantine Samaras
2025 — conf
Energy Considerations of Large Language Model Inference and Efficiency Optimizations.
ACL (1)
Jared Fernandez, Clara Na, Vashisth Tiwari, Yonatan Bisk, Sasha Luccioni, Emma Strubell
2025 J jnl
Energy Considerations of Large Language Model Inference and Efficiency Optimizations.
CoRR
Jared Fernandez, Clara Na, Vashisth Tiwari, Yonatan Bisk, Sasha Luccioni, Emma Strubell
2025 A* conf
Holistically Evaluating the Environmental Impact of Creating Language Models.
ICLR
Jacob Morrison, Clara Na, Jared Fernandez, Tim Dettmers, Emma Strubell, Jesse Dodge
2025 J jnl
Holistically Evaluating the Environmental Impact of Creating Language Models.
CoRR
Jacob Morrison, Clara Na, Jared Fernandez, Tim Dettmers, Emma Strubell, Jesse Dodge
2024 — conf
Gradient Localization Improves Lifelong Pretraining of Language Models.
EMNLP (Findings)
Jared Fernandez, Yonatan Bisk, Emma Strubell
2024 J jnl
Gradient Localization Improves Lifelong Pretraining of Language Models.
CoRR
Jared Fernandez, Yonatan Bisk, Emma Strubell
2024 J jnl
Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training.
CoRR
Jared Fernandez, Luca Wehrstedt, Leonid Shamis, Mostafa Elhoushi, Kalyan Saladi, Yonatan Bisk, Emma Strubell, Jacob Kahn
2023 J jnl
Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation.
CoRR
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
2023 A* conf
The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment.
EMNLP
Jared Fernandez, Jacob Kahn, Clara Na, Yonatan Bisk, Emma Strubell
2023 J jnl
The Framework Tax: Disparities Between Inference Efficiency in Research and Deployment.
CoRR
Jared Fernandez, Jacob Kahn, Clara Na, Yonatan Bisk, Emma Strubell
2021 — conf
CIGLI: Conditional Image Generation from Language & Image.
ICCVW
Xiaopeng Lu, Lynnette Hui Xian Ng, Jared Fernandez, Hao Zhu
2021 J jnl
CIGLI: Conditional Image Generation from Language & Image.
CoRR
Xiaopeng Lu, Lynnette Hui Xian Ng, Jared Fernandez, Hao Zhu
2020 J jnl
G-DAUG: Generative Data Augmentation for Commonsense Reasoning.
CoRR
Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey
2020 — conf
G-DAug: Generative Data Augmentation for Commonsense Reasoning.
EMNLP (Findings)
Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey
2019 J jnl
CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense.
CoRR
Michael Chen, Mike D'Arcy, Alisa Liu, Jared Fernandez, Doug Downey
2018 — conf
Sampling Informative Training Data for RNN Language Models.
ACL (3)
Jared Fernandez, Doug Downey
2017 A* conf
VecShare: A Framework for Sharing Word Representation Vectors.
EMNLP
Jared Fernandez, Zhaocheng Yu, Doug Downey