Cotterell, Ryan

Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora

Warstadt, A., Mueller, A., Choshen, L., Wilcox, E., Zhuang, C., Ciro, J., Mosquera, R., Paranjabe, B., Williams, A., Linzen, T., et al. (2023) · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning

Topic ModelingNatural Language Processing Techniques

Cited by 74

On Decoding Strategies for Neural Text Generators

Wiher, G., Meister, C., & Cotterell, R. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 48

LEACE: Perfect linear concept erasure in closed form

Belrose, N., Schneider-Joseph, D., Ravfogel, S., Cotterell, R., Raff, E., & Biderman, S. (2023) · arXiv

Cryptography and Data SecurityPrivacy-Preserving Technologies in Data

Cited by 44

On the Role of Negative Precedent in Legal Outcome Prediction

Valvoda, J., Cotterell, R., & Teufel, S. (2023) · Transactions of the Association for Computational Linguistics

Artificial Intelligence in LawTopic Modeling

Cited by 19

Quantifying gender bias towards politicians in cross-lingual language models

Stańczak, K., Ray Choudhury, S., Pimentel, T., Cotterell, R., & Augenstein, I. (2023) · PLOS ONE

Ethics and Social Impacts of AIGender Studies in Language

Cited by 13

Disambiguatory Signals are Stronger in Word-initial Positions

Pimentel, T., Cotterell, R., & Roark, B. (2021) · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume

Phonetics and Phonology ResearchSyntax, Semantics, Linguistic Variation

Cited by 10

Bigger is not always better: The importance of human-scale language modeling for psycholinguistics

Wilcox, E. G., Hu, M. Y., Mueller, A., Warstadt, A., Choshen, L., Zhuang, C., Williams, A., Cotterell, R., & Linzen, T. (2025) · Journal of Memory and Language

Natural Language Processing TechniquesTopic Modeling

Cited by 9

RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text

Zhou, W., Jiang, Y. E., Cui, P., Wang, T., Xiao, Z., Hou, Y., Cotterell, R., & Sachan, M. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 9