← Authors

Ethan Wilcox

28 papers · 2018–2025 · 6 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (7) 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (49) πŸŒ‰ Interdisciplinary Bridge 🀝 Dynamic Duo (12) ❓ The Questioner (2) ⚑ Prolific Year (7) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (131) πŸ’Ž Century Club (28)

Conferences

EMNLP (12) ACL (10) IJCNLP (2) NAACL (2) CONLL (1) ICML (1)

Top co-authors

Roger Levy (12) Ryan Cotterell (10) Peng Qian (7) Alex Warstadt (6) Tiago Pimentel (5) Richard Futrell (5) Clara Meister (3) Miguel Ballesteros (3) Tatsuya Aoyama (3) Tamar I Regev (2)

Research topics

Linguistics (1)

Keywords

language model (12) neural language model (6) syntactic generalization (5) information theory (4) reading time (3) syntactic structure (3) large language model (3) neural network (3) language comprehension (2) cognitive modeling (2) psychometric prediction (2) number agreement (2) representation learning (2) filler-gap dependency (2) syntactic violation (2) incremental processing (2) reaction time (2) discourse structure (2) few-shot learning (2) mutual information (2)

Papers

Unpacking Let Alone: Human-Scale Models Generalize to a Rare Construction in Form but not Meaning EMNLP 2025
Using Information Theory to Characterize Prosodic Typology: The Case of Tone, Pitch-Accent and Stress-Accent ACL 2025
Language Models Grow Less Humanlike beyond Phase Transition ACL 2025
Anything Goes? A Crosslinguistic Study of (Im)possible Language Learning in LMs ACL 2025
The time scale of redundancy between prosody and linguistic context ACL 2025
The Harmonic Structure of Information Contours ACL 2025
Modeling Bottom-up Information Quality during Language Processing EMNLP 2025
Reverse-Engineering the Reader EMNLP 2024
On the Role of Context in Reading Time Prediction EMNLP 2024
Surprise! Uniform Information Density Isn’t the Whole Story: Predicting Surprisal Contours in Long-form Discourse EMNLP 2024
Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora EMNLP 2023
Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora CONLL 2023
Revisiting the Optimality of Word Lengths EMNLP 2023
Controlled Text Generation with Natural Language Instructions ICML 2023
On the Efficacy of Sampling Adapters ACL 2023
Language Model Quality Correlates with Psychometric Predictive Power in Multiple Languages EMNLP 2023
A Targeted Assessment of Incremental Processing in Neural Language Models and Humans IJCNLP 2021
A Targeted Assessment of Incremental Processing in Neural Language Models and Humans ACL 2021
SyntaxGym: An Online Platform for Targeted Evaluation of Language Models ACL 2020
A Systematic Assessment of Syntactic Generalization in Neural Language Models ACL 2020
Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models EMNLP 2020
Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization EMNLP 2020
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies NAACL 2019
Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study EMNLP 2019
Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study IJCNLP 2019
Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations ACL 2019
Neural language models as psycholinguistic subjects: Representations of syntactic state NAACL 2019
What do RNN Language Models Learn about Filler–Gap Dependencies? EMNLP 2018