Roger P. Levy - RankMe

24 papers A* 2B 1Journal 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	How Open Must Language Models be to Enable Reliable Scientific Inference? CoRR James A. Michaelov, Catherine Arnett, Tyler A. Chang, Pamela D. Rivière, Samuel M. Taylor, Cameron R. Jones, Sean Trott, Roger P. Levy, Benjamin K. Bergen, Micah Altman
2026	J	`jnl`	N-gram-like Language Models Predict Reading Time Best. CoRR James A. Michaelov, Roger P. Levy
2026	J	`jnl`	What Can String Probability Tell Us About Grammaticality? Trans. Assoc. Comput. Linguistics Jennifer Hu, Ethan Gotlieb Wilcox, Siyuan Song, Kyle Mahowald, Roger P. Levy
2025	J	`jnl`	Language Model Behavioral Phases are Consistent Across Architecture, Training Data, and Scale. CoRR James A. Michaelov, Roger P. Levy, Benjamin K. Bergen
2025	A*	`conf`	On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts. EMNLP Linlu Qiu, Cedegao E. Zhang, Joshua B. Tenenbaum, Yoon Kim, Roger P. Levy
2025	J	`jnl`	On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts. CoRR Linlu Qiu, Cedegao E. Zhang, Joshua B. Tenenbaum, Yoon Kim, Roger P. Levy
2025	A*	`conf`	Resource-Rational Noisy-Channel Language Processing: Testing the Effect of Algorithmic Constraints on Inferences. EMNLP Thomas Hikaru Clark, Jacob Hoover Vigly, Edward Gibson, Roger P. Levy
2025	J	`jnl`	What Can String Probability Tell Us About Grammaticality? CoRR Jennifer Hu, Ethan Gotlieb Wilcox, Siyuan Song, Kyle Mahowald, Roger P. Levy
2024	J	`jnl`	Finding structure in logographic writing with library learning. CoRR Guangyuan Jiang, Matthias Hofer, Jiayuan Mao, Lionel Wong, Joshua B. Tenenbaum, Roger P. Levy
2024	J	`jnl`	Multimodal Input Aids a Bayesian Model of Phonetic Learning. CoRR Sophia Zhi, Roger P. Levy, Stephan C. Meylan
2023	J	`jnl`	On the Effect of Anticipation on Reading Times. Trans. Assoc. Comput. Linguistics Tiago Pimentel, Clara Meister, Ethan Gotlieb Wilcox, Roger P. Levy, Ryan Cotterell
2023	J	`jnl`	Testing the Predictions of Surprisal Theory in 11 Languages. CoRR Ethan Gotlieb Wilcox, Tiago Pimentel, Clara Meister, Ryan Cotterell, Roger P. Levy
2023	J	`jnl`	Testing the Predictions of Surprisal Theory in 11 Languages. Trans. Assoc. Comput. Linguistics Ethan Gotlieb Wilcox, Tiago Pimentel, Clara Meister, Ryan Cotterell, Roger P. Levy
2022	J	`jnl`	Grammar-Based Grounded Lexicon Learning. CoRR Jiayuan Mao, Haoyue Shi, Jiajun Wu, Roger P. Levy, Joshua B. Tenenbaum
2022	J	`jnl`	How Adults Understand What Young Children Say. CoRR Stephan C. Meylan, Ruthe Foushee, Nicole H. Wong, Elika Bergelson, Roger P. Levy
2022	J	`jnl`	Probing for Incremental Parse States in Autoregressive Language Models. CoRR Tiwalayo Eisape, Vineet Gangireddy, Roger P. Levy, Yoon Kim
2022	J	`jnl`	Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive Grammars. CoRR Songlin Yang, Roger P. Levy, Yoon Kim
2021	J	`jnl`	A Targeted Assessment of Incremental Processing in Neural LanguageModels and Humans. CoRR Ethan Gotlieb Wilcox, Pranali Vani, Roger P. Levy
2021	J	`jnl`	Child-directed Listening: How Caregiver Inference Enables Children's Early Verbal Communication. CoRR Stephan C. Meylan, Ruthe Foushee, Elika Bergelson, Roger P. Levy
2020	J	`jnl`	A Rate-Distortion view of human pragmatic reasoning. CoRR Noga Zaslavsky, Jennifer Hu, Roger P. Levy
2020	J	`jnl`	A Systematic Assessment of Syntactic Generalization in Neural Language Models. CoRR Jennifer Hu, Jon Gauthier, Peng Qian, Ethan Wilcox, Roger P. Levy
2020	J	`jnl`	Lossy-Context Surprisal: An Information-Theoretic Model of Memory Effects in Sentence Processing. Cogn. Sci. Richard Futrell, Edward Gibson, Roger P. Levy
2018	J	`jnl`	Do RNNs learn human-like abstract word order preferences? CoRR Richard Futrell, Roger P. Levy
2016	B	`conf`	Bayesian Pronoun Interpretation in Mandarin Chinese. CogSci Meilin Zhan, Roger P. Levy, Andrew Kehler