Roger Levy

Controlled Evaluation of Syntactic Knowledge in Multilingual Language Models COLING 2025 The neural dynamics of word recognition and integration EMNLP 2023 Prompting is not a substitute for probability measurements in large language models EMNLP 2023 Probing Self-supervised Speech Models for Phonetic and Phonemic Information: A Case Study in Aspiration INTERSPEECH 2023 Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive Grammars ACL 2023 Language model acceptability judgements are not always robust to context ACL 2023 LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers EMNLP 2023 When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes NAACL 2022 Flexible Generation from Fragmentary Linguistic Input ACL 2022 Analyzing Wrap-Up Effects through an Information-Theoretic Lens ACL 2022 Predicting scalar diversity with context-driven uncertainty over alternatives ACL 2022 Assessing Group-level Gender Bias in Professional Evaluations: The Case of Medical Student End-of-Shift Feedback NAACL 2022 Probing for Incremental Parse States in Autoregressive Language Models EMNLP 2022 What if This Modified That? Syntactic Interventions with Counterfactual Embeddings ACL 2021 Revisiting the Uniform Information Density Hypothesis EMNLP 2021 Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Models EMNLP 2021 A Targeted Assessment of Incremental Processing in Neural Language Models and Humans IJCNLP 2021 What if This Modified That? Syntactic Interventions with Counterfactual Embeddings IJCNLP 2021 Structural Guidance for Transformer Language Models IJCNLP 2021 A Targeted Assessment of Incremental Processing in Neural Language Models and Humans ACL 2021 Structural Guidance for Transformer Language Models ACL 2021 Cloze Distillation: Improving Neural Language Models with Human Next-Word Prediction EMNLP 2020 Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization EMNLP 2020 Bridging Information-Seeking Human Gaze and Machine Reading Comprehension EMNLP 2020 A Systematic Assessment of Syntactic Generalization in Neural Language Models ACL 2020 STARC: Structured Annotations for Reading Comprehension ACL 2020 SyntaxGym: An Online Platform for Targeted Evaluation of Language Models ACL 2020 Bridging Information-Seeking Human Gaze and Machine Reading Comprehension CONLL 2020 Cloze Distillation: Improving Neural Language Models with Human Next-Word Prediction CONLL 2020 Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models EMNLP 2020 Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study EMNLP 2019 Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations ACL 2019 Linking artificial and human neural representations of language EMNLP 2019 Linking artificial and human neural representations of language IJCNLP 2019 Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study IJCNLP 2019 Neural language models as psycholinguistic subjects: Representations of syntactic state NAACL 2019 Structural Supervision Improves Learning of Non-Local Grammatical Dependencies NAACL 2019 Language Learning and Processing in People and Machines NAACL 2019 Simple dynamic word embeddings for mapping perceptions in the public sphere NAACL 2019 Comparing Theories of Speaker Choice Using a Model of Classifier Production in Mandarin Chinese NAACL 2018 Assessing Language Proficiency from Eye Movements in Reading NAACL 2018 Comparing Models of Associative Meaning: An Empirical Investigation of Reference in Simple Language Games CONLL 2018 What do RNN Language Models Learn about Filler–Gap Dependencies? EMNLP 2018 Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017) CONLL 2017 Noisy-context surprisal as a human sentence processing cost model EACL 2017 Data-driven learning of symbolic constraints for a log-linear model in a phonological setting COLING 2016 Finding Non-Arbitrary Form-Meaning Systematicity Using String-Metric Learning for Kernel Regression ACL 2016 Nonparametric Learning of Phonological Constraints in Optimality Theory ACL 2014 Combining multiple information types in Bayesian word segmentation NAACL 2013 Proceedings of the NAACL HLT 2012 Student Research Workshop NAACL 2012 Integrating surprisal and uncertain-input models in online sentence comprehension: formal techniques and empirical results ACL 2011 Automated Whole Sentence Grammar Correction Using a Noisy Channel Model ACL 2011 Computational psycholinguistics NAACL 2010 A Rational Model of Eye Movement Control in Reading ACL 2010 A model of local coherence effects in human sentence processing as consequences of updates from bottom-up prior to posterior beliefs NAACL 2009 Minimal-length linearizations for mildly context-sensitive dependency trees NAACL 2009 A Noisy-Channel Model of Human Sentence Comprehension under Uncertain Input EMNLP 2008 Deep Dependencies from Context-Free Statistical Parsers: Correcting the Surface Dependency Approximation ACL 2004 Is it Harder to Parse Chinese, or the Chinese Treebank? ACL 2003