Hooker, Sara

The State of Sparsity in Deep Neural Networks

Gale, T., Elsen, E., & Hooker, S. (2019) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 440

Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims

Brundage, M., Avin, S., Wang, J., Belfield, H., Krueger, G., Hadfield, G., Khlaaf, H., Yang, J., Toner, H., Fong, R., et al. (2020) · arXiv

Ethics and Social Impacts of AISafety Systems Engineering in Autonomy

Cited by 306

The hardware lottery

Hooker, S. (2021) · Communications of the ACM

Embedded Systems Design TechniquesParallel Computing and Optimization Techniques

Cited by 211

The Hardware Lottery

Hooker, S. (2020) · arXiv

Embedded Systems Design TechniquesParallel Computing and Optimization Techniques

Cited by 185

Moving beyond “algorithmic bias is a data problem”

Hooker, S. (2021) · Patterns

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 181

The Leaderboard Illusion

Singh, S., Nan, Y., Wang, A., D'Souza, D., Kapoor, S., Üstün, A., Koyejo, S., Deng, Y., Longpre, S., Smith, N. A., et al. (2025) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 108

Frontier AI Regulation: Managing Emerging Risks to Public Safety

Anderljung, M., Barnhart, J., Korinek, A., Leung, J., O'Keefe, C., Whittlestone, J., Avin, S., Brundage, M., Bullock, J., Cass-Beggs, D., et al. (2023) · arXiv

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 77

The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs

Ruis, L., Khan, A., Biderman, S., Hooker, S., Rocktäschel, T., & Grefenstette, E. (2023) · Advances in Neural Information Processing Systems 36

Natural Language Processing TechniquesSyntax, Semantics, Linguistic Variation

Cited by 47

Light bulbs have energy ratings — so why can’t AI chatbots?

Luccioni, S., Gamazaychikov, B., Hooker, S., Pierrard, R., Strubell, E., Jernite, Y., & Wu, C.-J. (2024) · Nature

Green IT and SustainabilityEthics and Social Impacts of AI

Cited by 32

On the challenges of using black-box APIs for toxicity evaluation in research

Pozzobon, L., Ermis, B., Lewis, P., & Hooker, S. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Hate Speech and Cyberbullying DetectionEthics and Social Impacts of AI

Cited by 29

LLM See, LLM Do: Leveraging Active Inheritance to Target Non-Differentiable Objectives

Shimabucoro, L., Ruder, S., Kreutzer, J., Fadaee, M., & Hooker, S. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingEthics and Social Impacts of AI

Cited by 24

When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale

Marion, M., Üstün, A., Pozzobon, L., Wang, A., Fadaee, M., & Hooker, S. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 11

To Code, or Not To Code? Exploring Impact of Code in Pre-training

Aryabumi, V., Su, Y., Ma, R., Morisot, A., Zhang, I., Locatelli, A., Fadaee, M., Üstün, A., & Hooker, S. (2024) · arXiv

Topic ModelingSoftware Engineering Research

Cited by 3