Recent Publications
  
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Modeling rapid language learning by distilling Bayesian priors into artificial neural networks
 R. Thomas McCoy and Thomas L. Griffiths Nature Communications, 2025  | 
  
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A Lie-Algebraic Perspective on Tree-Adjoining Grammars
 Isabella Senturia, Elizabeth Xiao and Matilde Marcolli Proceedings of Mathematics of Language (MOL), 2025.  | 
  
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ModeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models
 Nathan Chi, Teodor Malchev, Riley Kong, Ryan Chi, Lucas Huang, Ethan Chi, R. McCoy, Dragomir Radev Proceedings of the Eighth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT), 2025  | 
  
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Meaning Beyond Truth Conditions: Evaluating Discourse Level Understanding via Anaphora Accessibility
 Xiaomeng Zhu, Zhenghao Zhou, Simon Charlow and Robert Frank Proceedings of the Association for Computational Linguistics (ACL), 2025.  | 
  
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Is In-Context Learning a Type of Error-Driven Learning? Evidence from the Inverse Frequency Effect in Structural Priming
 Zhenghao Zhou, Robert Frank and R. Thomas McCoy Proceedings of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL), 2025.  | 
  
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Computational Approaches to Syntactic Variation
 Tim Hunter and Robert Frank The Cambridge Handbook of Comparative Syntax, 2025.  | 
  
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Embers of autoregression show how large language models are shaped by the problem they are trained to solve
 R. Thomas McCoy, Shunyu Yao, Dan Friedman, Mathew D. Hardy, and Thomas L. Griffiths Proceedings of the National Academy of Science (PNAS), 2024  | 
  
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Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning
 Akshara Prabhakar, Thomas L. Griffiths, and R. Thomas McCoy Findings of EMNLP, 2024  | 
  
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Distilling symbolic priors for concept learning into neural networks
 Ioana Marinescu, R. Thomas McCoy, and Thomas L. Griffiths Proceedings of the 46th Annual Conference of the Cognitive Science Society, 2024  | 
  
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LIEDER: Linguistically-Informed Evaluation for Discourse Entity Recognition
 Xiaomeng Zhu and Robert Frank Proceedings of the Association for Computational Linguistics (ACL), 2024.  | 
  
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The antisymmetry of syntactic structure: a view from automorphisms
 Robert Frank, William Min, Abhisar Mittal and Billy Zhong A Cartesian Dream: A Geometrical Account of Syntax. In honor of Andrea Moro, 2024.  | 
  
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Brain and grammar: Revealing electrophysiological basic structures with competing statistical models
 Andrea Cometa, Chiara Battaglini, Fiorenzo Artoni, Matteo Greco, Robert Frank, Claudia Repetto, Franco Bottoni, Stefano F. Cappa, Silvestro Micera, Emiliano Ricciardi and Andrea Moro Cerebral Cortex, 2024.  | 
  
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Inductive Bias is in the Eye of the Beholder
 Michael Wilson and Robert Frank Proceedings of the First Workshop on Benchmarking Generalization (GenBench) (EMNLP), 2023.  | 
  
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NPIs Aren’t Exactly Easy: Variation in Licensing across Large Language Models
 Deanna DeCarlo, William Palmer, Michael Wilson and Robert Frank Processings of 6th BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (EMNLP), 2023.  | 
  
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How Abstract Is Linguistic Generalization in Large Language Models? Experiments with Argument Structure
 Michael Wilson, Jackson Petty and Robert Frank Transactions of the Association for Computational Linguistics, 2023.  | 
  
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How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech
 Aditya Yedetore, Tal Linzen, Robert Frank and R. Thomas McCoy Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, 2023.  | 
  
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On the Spectra of Syntactic Structures
 Isabella Senturia and Robert Frank Proceedings of the Society for Computation in Linguistics, 2023.  | 
  
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Subject-verb Agreement with Seq2Seq Transformers: Bigger Is Better, but Still Not Best
 Michael A. Wilson, Zhenghao Zhou and Robert Frank Proceedings of the Society for Computation in Linguistics, 2023.  | 
  
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What affects Priming Strength? Simulating Structural Priming Effect with PIPS
 Zhenghao Zhou and Robert Frank Proceedings of the Society for Computation in Linguistics, 2023.  | 
  
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Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
 Aarohi Srivastava et al. Transactions on Machine Learning Research, 2023. PDF Code  | 
  
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False perspectives on human language: Why statistics needs linguistics
 Matteo Greco, Andrea Cometa, Fiorenzo Artoni, Robert Frank and Andrea Moro Frontiers in Language Sciences 2, 2023.  | 
  
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Formal Language Recognition by Hard Attention Transformers: Perspectives from Circuit Complexity
 Yiding Hao, Dana Angluin and Robert Frank Transactions of the Association for Computational Linguistics, 2022.  | 
  
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Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models
 Aaron Mueller, Robert Frank, Tal Linzen, Luheng Wang and Sebastian Schuster Findings of the Association for Computational Linguistics, 2022. PDF Code  | 
  
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Do Language Models Learn Position-Role Mappings?
 Jackson Petty, Michael Wilson and Robert Frank Proceedings of BUCLD 46, 2022.  | 
  
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Variation in mild context-sensitivity: Derivational state and structural monotonicity
 Robert Frank and Tim Hunter Evolutionary Linguistic Theory 3(2), 2021.  | 
  
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Structure Here, Bias There: Hierarchical Generalization by Jointly Learning Syntactic Transformations
 Karl Mulligan, Robert Frank and Tal Linzen Proceedings of the Society for Computation in Linguistics, 2021.  | 
  
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Documentation of Shared Decision Making in the Emergency Department
 David Chartash, Mona Sharifi, Beth Emerson, Robert Frank, Elizabeth M. Schoenfeld, Jason Tanner, Cynthia Brandt and R. Andrew Taylor Annals of Emergency Medicine 78(5), 2021.  | 
  
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Comparing Methods of Tree-Construction Across Mildly Context-Sensitive Formalisms
 Tim Hunter and Robert Frank Proceedings of the Society for Computation in Linguistics, 2021.  | 
  
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Sequence-to-Sequence Networks Learn the Meaning of Reflexive Anaphora
 Robert Frank and Jackson Petty Proceedings of the Third Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC), 2020. PDF Code  | 
  
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Evaluating Attribution Methods using White-Box LSTMs
 Yiding Hao 3rd Workshop on Blackbox NLP: Analyzing and Interpreting Neural Networks for NLP (EMNLP), 2020.  | 
  
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Probabilistic Predictions of People Perusing: Evaluating Metrics of Language Model Performance for Psycholinguistic Modeling
 Yiding Hao, Simon Mendelsohn, Rachel Sterneck, Randi Martinez, and Robert Frank Proceedings of the Cognitive Modeling and Computational Linguistics (CMCL) Workshop (EMNLP), 2020  | 
  
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Does syntax need to grow on trees? Sources of hierarchical inductive bias in sequence-to-sequence networks
 R. Thomas McCoy, Robert Frank, and Tal Linzen Transactions of the Association for Computational Linguistics, 2020.  | 
  
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Metrical Grids and Generalized Tier Projection
 Yiding Hao Proceedings of the Society for Computation in Linguistics, 2020.  | 
  
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The Role of Linguistic Features in Domain Adaptation: TAG Parsing of Questions
 Aarohi Srivastava, Robert Frank, Sarah Widder and David Chartash Proceedings of the Society for Computation in Linguistics, 2020.  | 
  
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Open Sesame: Getting Inside BERT's Linguistic Knowledge
 Yongjie Lin, Yi Chern Tan and Robert Frank 2nd Workshop on Blackbox NLP: Analyzing and Interpreting Neural Networks for NLP (ACL), 2019. PDF Code  | 
  
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Finding Syntactic Representations in Neural Stacks
 William Merrill, Lenny Khazan, Noah Amsel, Yiding Hao, Simon Mendelsohn and Robert Frank 2nd Workshop on Blackbox NLP: Analyzing and Interpreting Neural Networks for NLP (ACL), 2019. PDF Code  | 
  
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Sequential Neural Networks as Automata
 William Merrill Workshop on Deep Learning and Formal Languages: Building Bridges (ACL), 2019.  | 
  
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Unbounded Stress in Subregular Phonology
 Yiding Hao and Samuel Andersson 16th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology (ACL), 2019.  | 
  
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Action-Sensitive Phonological Dependencies
 Yiding Hao and Justin Bowers 16th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology (ACL), 2019.  | 
  
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Detecting Syntactic Change Using a Neural Part-of-Speech Tagger
 William Merrill, Gigi Felice Stark and Robert Frank 1st International Workshop on Computational Approaches to Historical Language Change (ACL), 2019. PDF Code  | 
  
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Syntax-aware Neural Semantic Role Labeling with Supertags
 Jungo Kasai, Dan Friedman, Robert Frank, Dragomir Radev and Owen Rambow Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2019. PDF Code  | 
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Jabberwocky Parsing: Dependency Parsing with Lexical Noise
 Jungo Kasai and Robert Frank Proceedings of the Society for Computation in Linguistics, 2019. PDF Code  | 
  
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Learnability and Overgeneration in Computational Syntax
 Yiding Hao Proceedings of the Society for Computation in Linguistics, 2019.  | 
  
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Context-Free Transductions with Neural Stacks
 Yiding Hao, William Merrill, Dana Angluin, Robert Frank, Noah Amsel, Andrew Benz and Simon Mendelsohn 1st Workshop on Blackbox NLP: Analyzing and Interpreting Neural Networks for NLP (EMNLP), 2018. PDF BibTex Code  | 
  
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Revisiting the Poverty of the Stimulus: Hierarchical Generalization without a Hierarchical Bias in Recurrent Neural Networks
 R. Thomas McCoy, Robert Frank, and Tal Linzen Proceedings of the 40th Annual Conference of the Cognitive Science Society, 2018. PDF BibTex  | 
  
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End-to-End Graph-Based TAG Parsing with Neural Networks
 Jungo Kasai, Robert Frank, Pauli Xu, William Merrill and Owen Rambow Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2018. PDF BibTex Code  | 
  
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Phonologically Informed Edit Distance Algorithms for Word Alignment with Low-Resource Languages
 R. Thomas McCoy and Robert Frank Proceedings of the Society for Computation in Linguistics, 2018. PDF BibTex  | 
  
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Using Rhetorical Topics for Automatic Summarization
 Natalie Schrimpf Proceedings of the Society for Computation in Linguistics, 2018. PDF BibTex  | 
  
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TAG Parsing with Neural Networks and Vector Representations of Supertags
 Jungo Kasai, Robert Frank, R. Thomas McCoy, Owen Rambow, and Alexis Nasr Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017. PDF BibTex Code  | 
  
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Linguistically Rich Vector Representations of Supertags for TAG Parsing
 Dan Friedman, Jungo Kasai, R. Thomas McCoy, Robert Frank, Owen Rambow and Forrest Davis Proceedings of the 13th International Workshop on Tree Adjoining Grammars and Related Formalisms (TAG+13), 2017. PDF BibTex  | 
  
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TAG Parsing Evaluation using Textual Entailments
 Pauli Xu, Robert Frank, Jungo Kasai and Owen Rambow Proceedings of the 13th International Workshop on Tree Adjoining Grammars and Related Formalisms (TAG+13), 2017. PDF BibTex  | 
  
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Harmonic Serialism and Finite-State Optimality Theory
 Yiding Hao Proceedings of the 13th International Conference on Finite State Methods and Natural Language Processing, 2017. PDF BibTex  | 
  
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Node-based Induction of Tree-Substitution Grammars
 Rose Sloan Proceedings of the 12th International Workshop on Tree Adjoining Grammars and Related Formalisms (TAG+12), 2016. PDF BibTex  | 
  
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Parasitic Gaps and the Heterogeneity of Dependency Formation in STAG
 Robert Frank and Dennis Ryan Storoshenko Proceedings of the 12th International Workshop on Tree Adjoining Grammars and Related Formalisms (TAG+12), 2016. PDF BibTex  |