Ethan Wilcox

According to our database, Ethan Wilcox authored at least 34 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Elements of World Knowledge (EWOK): A cognition-inspired framework for evaluating basic world knowledge in language models.

Anna A. Ivanova, Aalok Sathe, Benjamin Lipkin, Unnathi Kumar, Setayesh Radkani, Thomas Hikaru Clark, Carina Kauf, Jennifer Hu, R. T. Pramod, Gabriel Grand, Vivian C. Paulun, Maria Ryskina, Ekin Akyürek, Ethan Wilcox, Nafisa Rashid, Leshem Choshen, Roger Levy, Evelina Fedorenko, Joshua B. Tenenbaum, Jacob Andreas

CoRR, 2024

[Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus.

Leshem Choshen, Ryan Cotterell, Michael Y. Hu, Tal Linzen, Aaron Mueller, Candace Ross, Alex Warstadt, Ethan Wilcox, Adina Williams, Chengxu Zhuang

CoRR, 2024

Surprise! Uniform Information Density Isn't the Whole Story: Predicting Surprisal Contours in Long-form Discourse.

Eleftheria Tsipidi, Franz Nowak, Ryan Cotterell, Ethan Wilcox, Mario Giulianelli, Alex Warstadt

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

On the Role of Context in Reading Time Prediction.

Andreas Opedal, Eleanor Chodroff, Ryan Cotterell, Ethan Wilcox

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Reverse-Engineering the Reader.

Samuel Kiegeland, Ethan Wilcox, Afra Amini, David Robert Reich, Ryan Cotterell

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Exhaustivity and Anti-Exhaustivity in the RSA Framework: Testing the Effect of Prior Beliefs.

Alexandre Cremers, Ethan Gotlieb Wilcox, Benjamin Spector

Cogn. Sci., May, 2023

Testing the Predictions of Surprisal Theory in 11 Languages.

Ethan Gotlieb Wilcox, Tiago Pimentel, Clara Meister, Ryan Cotterell, Roger P. Levy

Trans. Assoc. Comput. Linguistics, 2023

On the Effect of Anticipation on Reading Times.

Tiago Pimentel, Clara Meister, Ethan Gotlieb Wilcox, Roger P. Levy, Ryan Cotterell

Trans. Assoc. Comput. Linguistics, 2023

WhisBERT: Multimodal Text-Audio Language Modeling on 100M Words.

Lukas Wolf, Greta Tuckute, Klemen Kotar, Eghbal Hosseini, Tamar Regev, Ethan Wilcox, Alex Warstadt

CoRR, 2023

Call for Papers - The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus.

Alex Warstadt, Leshem Choshen, Aaron Mueller, Adina Williams, Ethan Wilcox, Chengxu Zhuang

CoRR, 2023

Controlled Text Generation with Natural Language Instructions.

Wangchunshu Zhou, Yuchen Eleanor Jiang, Ethan Wilcox, Ryan Cotterell, Mrinmaya Sachan

Proceedings of the International Conference on Machine Learning, 2023

Quantifying the redundancy between prosody and text.

Lukas Wolf, Tiago Pimentel, Evelina Fedorenko, Ryan Cotterell, Alex Warstadt, Ethan Wilcox, Tamar Regev

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Language Model Quality Correlates with Psychometric Predictive Power in Multiple Languages.

Ethan Wilcox, Clara Meister, Ryan Cotterell, Tiago Pimentel

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Revisiting the Optimality of Word Lengths.

Tiago Pimentel, Clara Meister, Ethan Wilcox, Kyle Mahowald, Ryan Cotterell

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

On the Efficacy of Sampling Adapters.

Clara Meister, Tiago Pimentel, Luca Malagutti, Ethan Wilcox, Ryan Cotterell

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Evidence for Availability Effects on Speaker Choice in the Russian Comparative Alternation.

Thomas Hikaru Clark, Ethan Gotlieb Wilcox, Edward Gibson, Roger Levy

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

A Targeted Assessment of Incremental Processing in Neural LanguageModels and Humans.

Ethan Gotlieb Wilcox, Pranali Vani, Roger P. Levy

CoRR, 2021

Using the Interpolated Maze Task to Assess Incremental Processing in English Relative Clauses.

Pranali Vani, Ethan Gotlieb Wilcox, Roger Levy

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

A Targeted Assessment of Incremental Processing in Neural Language Models and Humans.

Ethan Wilcox, Pranali Vani, Roger Levy

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models.

Ethan Wilcox, Peng Qian, Richard Futrell, Ryosuke Kohita, Roger Levy, Miguel Ballesteros

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior.

Ethan Wilcox, Jon Gauthier, Jennifer Hu, Peng Qian, Roger Levy

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization.

Tristan Thrush, Ethan Wilcox, Roger Levy

Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

A Systematic Assessment of Syntactic Generalization in Neural Language Models.

Jennifer Hu, Jon Gauthier, Peng Qian, Ethan Wilcox, Roger Levy

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

SyntaxGym: An Online Platform for Targeted Evaluation of Language Models.

Jon Gauthier, Jennifer Hu, Ethan Wilcox, Peng Qian, Roger Levy

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

2019

Structural Supervision Improves Learning of Non-Local Grammatical Dependencies.

Ethan Wilcox, Peng Qian, Richard Futrell, Miguel Ballesteros, Roger Levy

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Neural language models as psycholinguistic subjects: Representations of syntactic state.

Richard Futrell, Ethan Wilcox, Takashi Morita, Peng Qian, Miguel Ballesteros, Roger Levy

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study.

Aixiu An, Peng Qian, Ethan Wilcox, Roger Levy

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

The Role of Prior Beliefs in The Rational Speech Act Model of Pragmatics: Exhaustivity as a Case Study.

Ethan Wilcox, Benjamin Spector

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

What Syntactic Structures block Dependencies in RNN Language Models?

Ethan Wilcox, Roger Levy, Richard Futrell

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Testing Gender Markedness of Nouns with Self a Paced Reading Study.

Ethan Wilcox

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Phonological Cues to Syntactic Structure in a Large-Scale Corpus.

Ethan Wilcox

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations.

Ethan Wilcox, Roger Levy, Richard Futrell

Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019

2018

RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency.

Richard Futrell, Ethan Wilcox, Takashi Morita, Roger Levy

CoRR, 2018

What do RNN Language Models Learn about Filler-Gap Dependencies?

Ethan Wilcox, Roger Levy, Takashi Morita, Richard Futrell

Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018