conftrace_

Ethan Wilcox

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

Achievements

Jump to papers ↓
+9 more ↓ πŸƒ Academic Marathon (7) 🌍 Conference Polyglot (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 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)

Research topics

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