Gonen, Hila

Lipstick on a pig: Debiasing methods cover up systematic gender biases in word embeddings but do not remove them

Gonen, H., & Goldberg, Y. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

Ethics and Social Impacts of AIGender Studies in Language

Cited by 454

Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection

Ravfogel, S., Elazar, Y., Gonen, H., Twiton, M., & Goldberg, Y. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 287

Demystifying Prompts in Language Models via Perplexity Estimation

Gonen, H., Iyer, S., Blevins, T., Smith, N., & Zettlemoyer, L. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Topic ModelingNatural Language Processing Techniques

Cited by 109

Demystifying Prompts in Language Models via Perplexity Estimation

Gonen, H., Iyer, S., Blevins, T., Smith, N. A., & Zettlemoyer, L. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 109

Simple, Interpretable and Stable Method for Detecting Words with Usage Change across Corpora

Gonen, H., Jawahar, G., Seddah, D., & Goldberg, Y. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Digital Humanities and ScholarshipTopic Modeling

Cited by 59

BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer

Asai, A., Kudugunta, S., Yu, X. V., Blevins, T., Gonen, H., Reid, M., Tsvetkov, Y., Ruder, S., & Hajishirzi, H. (2023) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 10