What do RNN Language Models Learn about Filler-Gap Dependencies? - Ethan Wilcox; Roger Levy; Takashi Morita 001; Richard Futrell (BlackboxNLP@EMNLP, 2018)

RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency. - Richard Futrell; Ethan Wilcox; Takashi Morita 001; Roger Levy (CoRR, 2018)

Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations. - Ethan Wilcox; Roger Levy; Richard Futrell (BlackboxNLP@ACL, 2019)

Phonological Cues to Syntactic Structure in a Large-Scale Corpus. - Ethan Wilcox (CogSci, 2019)

Testing Gender Markedness of Nouns with Self a Paced Reading Study. - Ethan Wilcox (CogSci, 2019)

What Syntactic Structures block Dependencies in RNN Language Models? - Ethan Wilcox; Roger Levy; Richard Futrell (CogSci, 2019)

The Role of Prior Beliefs in The Rational Speech Act Model of Pragmatics: Exhaustivity as a Case Study. - Ethan Wilcox; Benjamin Spector (CogSci, 2019)

Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study. - Aixiu An; Peng Qian; Ethan Wilcox; Roger Levy (EMNLP/IJCNLP (1), 2019)

Neural language models as psycholinguistic subjects: Representations of syntactic state. - Richard Futrell; Ethan Wilcox; Takashi Morita 001; Peng Qian; Miguel Ballesteros; Roger Levy (NAACL-HLT (1), 2019)

Structural Supervision Improves Learning of Non-Local Grammatical Dependencies. - Ethan Wilcox; Peng Qian; Richard Futrell; Miguel Ballesteros; Roger Levy (NAACL-HLT (1), 2019)

SyntaxGym: An Online Platform for Targeted Evaluation of Language Models. - Jon Gauthier; Jennifer Hu 001; Ethan Wilcox; Peng Qian; Roger Levy (ACL (demo), 2020)

A Systematic Assessment of Syntactic Generalization in Neural Language Models. - Jennifer Hu 001; Jon Gauthier; Peng Qian; Ethan Wilcox; Roger Levy (ACL, 2020)

Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization. - Tristan Thrush; Ethan Wilcox; Roger Levy (BlackboxNLP@EMNLP, 2020)

On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior. - Ethan Wilcox; Jon Gauthier; Jennifer Hu 001; Peng Qian; Roger Levy (CogSci, 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 (EMNLP (1), 2020)

A Targeted Assessment of Incremental Processing in Neural Language Models and Humans. - Ethan Wilcox; Pranali Vani; Roger Levy (ACL/IJCNLP (1), 2021)

Using the Interpolated Maze Task to Assess Incremental Processing in English Relative Clauses. - Pranali Vani; Ethan Gotlieb Wilcox; Roger Levy (CogSci, 2021)

A Targeted Assessment of Incremental Processing in Neural LanguageModels and Humans. - Ethan Gotlieb Wilcox; Pranali Vani; Roger P. Levy (CoRR, 2021)

Evidence for Availability Effects on Speaker Choice in the Russian Comparative Alternation. - Thomas Hikaru Clark; Ethan Gotlieb Wilcox; Edward Gibson; Roger Levy (CogSci, 2022)

On the Efficacy of Sampling Adapters. - Clara Meister; Tiago Pimentel; Luca Malagutti; Ethan Wilcox; Ryan Cotterell (ACL (1), 2023)

Revisiting the Optimality of Word Lengths. - Tiago Pimentel; Clara Meister; Ethan Wilcox; Kyle Mahowald; Ryan Cotterell (EMNLP, 2023)

Language Model Quality Correlates with Psychometric Predictive Power in Multiple Languages. - Ethan Wilcox; Clara Meister; Ryan Cotterell; Tiago Pimentel (EMNLP, 2023)

Quantifying the redundancy between prosody and text. - Lukas Wolf; Tiago Pimentel; Evelina Fedorenko; Ryan Cotterell; Alex Warstadt; Ethan Wilcox; Tamar Regev (EMNLP, 2023)

Controlled Text Generation with Natural Language Instructions. - Wangchunshu Zhou; Yuchen Eleanor Jiang; Ethan Wilcox; Ryan Cotterell; Mrinmaya Sachan (ICML, 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)

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)

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)

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)

Exhaustivity and Anti-Exhaustivity in the RSA Framework: Testing the Effect of Prior Beliefs. - Alexandre Cremers; Ethan Gotlieb Wilcox; Benjamin Spector (Cogn. Sci., 2023)

Reverse-Engineering the Reader. - Samuel Kiegeland; Ethan Wilcox; Afra Amini; David Robert Reich; Ryan Cotterell (EMNLP, 2024)

On the Role of Context in Reading Time Prediction. - Andreas Opedal; Eleanor Chodroff; Ryan Cotterell; Ethan Wilcox (EMNLP, 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 (EMNLP, 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)

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 001; R. T. Pramod; Gabriel Grand; Vivian C. Paulun; Maria Ryskina; et al. (CoRR, 2024)

Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora. - Michael Y. Hu; Aaron Mueller; Candace Ross; Adina Williams; Tal Linzen; Chengxu Zhuang; Ryan Cotterell; Leshem Choshen; Alex Warstadt; Ethan Gotlieb Wilcox (CoRR, 2024)

Language Models Grow Less Humanlike beyond Phase Transition. - Tatsuya Aoyama; Ethan Wilcox (ACL (1), 2025)

The time scale of redundancy between prosody and linguistic context. - Tamar I. Regev; Chiebuka Ohams; Shaylee Xie; Lukas Wolf; Evelina Fedorenko; Alex Warstadt; Ethan Wilcox; Tiago Pimentel (ACL (1), 2025)

The Harmonic Structure of Information Contours. - Eleftheria Tsipidi; Samuel Kiegeland; Franz Nowak; Tianyang Xu; Ethan Wilcox; Alex Warstadt; Ryan Cotterell; Mario Giulianelli (ACL (1), 2025)

Using Information Theory to Characterize Prosodic Typology: The Case of Tone, Pitch-Accent and Stress-Accent. - Ethan Wilcox; Cui Ding; Giovanni Acampa; Tiago Pimentel; Alex Warstadt; Tamar I. Regev (ACL (1), 2025)

Anything Goes? A Crosslinguistic Study of (Im)possible Language Learning in LMs. - Xiulin Yang; Tatsuya Aoyama; Yuekun Yao; Ethan Wilcox (ACL (1), 2025)

BabyLM Turns 3: Call for papers for the 2025 BabyLM workshop. - Lucas Charpentier; Leshem Choshen; Ryan Cotterell; Mustafa Omer Gul; Michael Y. Hu; Jaap Jumelet; Tal Linzen; Jing Liu; Aaron Mueller; Candace Ross; Raj Sanjay Shah; Alex Warstadt; et al. (CoRR, 2025)

Looking forward: Linguistic theory and methods. - John Mansfield; Ethan Gotlieb Wilcox (CoRR, 2025)

Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora. - Alex Warstadt; Aaron Mueller; Leshem Choshen; Ethan Wilcox; Chengxu Zhuang; Juan Ciro; Rafael Mosquera; Bhargavi Paranjape; Adina Williams; Tal Linzen; Ryan Cotterell (CoRR, 2025)

Unpacking Let Alone: Human-Scale Models Generalize to a Rare Construction in Form but not Meaning. - Wesley Scivetti; Tatsuya Aoyama; Ethan Wilcox; Nathan Schneider 001 (CoRR, 2025)