VecShare: A Framework for Sharing Word Representation Vectors. - Jared Fernandez; Zhaocheng Yu; Doug Downey (EMNLP, 2017)

Sampling Informative Training Data for RNN Language Models. - Jared Fernandez; Doug Downey (ACL (3), 2018)

CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense. - Michael Chen; Mike D'Arcy; Alisa Liu; Jared Fernandez; Doug Downey (CoRR, 2019)

G-DAug: Generative Data Augmentation for Commonsense Reasoning. - Yiben Yang; Chaitanya Malaviya; Jared Fernandez; Swabha Swayamdipta; Ronan Le Bras 001; Ji-Ping Wang; Chandra Bhagavatula; Yejin Choi 001; Doug Downey (EMNLP (Findings), 2020)

CIGLI: Conditional Image Generation from Language & Image. - Xiaopeng Lu; Lynnette Hui Xian Ng; Jared Fernandez; Hao Zhu (ICCVW, 2021)

The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment. - Jared Fernandez; Jacob Kahn; Clara Na; Yonatan Bisk; Emma Strubell (EMNLP, 2023)

The Framework Tax: Disparities Between Inference Efficiency in Research and Deployment. - Jared Fernandez; Jacob Kahn; Clara Na; Yonatan Bisk; Emma Strubell (CoRR, 2023)

Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation. - Hao Peng 009; Qingqing Cao; Jesse Dodge; Matthew E. Peters; Jared Fernandez; Tom Sherborne; Kyle Lo; Sam Skjonsberg; Emma Strubell; Darrell Plessas; Iz Beltagy; Evan Pete Walsh; et al. (CoRR, 2023)

Gradient Localization Improves Lifelong Pretraining of Language Models. - Jared Fernandez; Yonatan Bisk; Emma Strubell (EMNLP (Findings), 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)

Energy Considerations of Large Language Model Inference and Efficiency Optimizations. - Jared Fernandez; Clara Na; Vashisth Tiwari; Yonatan Bisk; Sasha Luccioni; Emma Strubell (ACL (1), 2025)

Holistically Evaluating the Environmental Impact of Creating Language Models. - Jacob Morrison; Clara Na; Jared Fernandez; Tim Dettmers; Emma Strubell; Jesse Dodge (ICLR, 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)

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, 2025)