R. Thomas McCoy

59 papers A* 3B 5Journal 40Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evaluating the Usage of African-American Vernacular English in Large Language Models. CoRR Deja Dunlap, R. Thomas McCoy
2026	J	`jnl`	What Exactly do Children Receive in Language Acquisition? A Case Study on CHILDES with Automated Detection of Filler-Gap Dependencies. CoRR Zhenghao Herbert Zhou, William Dai, Maya Viswanathan, Simon Charlow, R. Thomas McCoy, Robert Frank
2025	B	`conf`	Additive Analogies Reveal Compositional Structure in Neural Network Weights. CogSci Abi Tenenbaum, R. Thomas McCoy
2025	B	`conf`	Convolutional Neural Networks Can (Meta-)Learn the Same-Different Relation. CogSci Max Gupta, Sunayana Rane, R. Thomas McCoy, Tom Griffiths
2025	J	`jnl`	Convolutional Neural Networks Can (Meta-)Learn the Same-Different Relation. CoRR Max Gupta, Sunayana Rane, R. Thomas McCoy, Thomas L. Griffiths
2025	J	`jnl`	Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models. CoRR Simeng Han, Stephen Xia, Grant Zhang, Howard Dai, Chen Liu, Lichang Chen, Hoang Huy Nguyen, Hongyuan Mei, Jiayuan Mao, R. Thomas McCoy
2025	—	`conf`	Evaluating distillation methods for data-efficient syntax learning. EMNLP (Findings) Takateru Yamakoshi, Thomas L. Griffiths, R. Thomas McCoy, Robert D. Hawkins
2025	J	`jnl`	Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models. CoRR Liyi Zhang, Veniamin Veselovsky, R. Thomas McCoy, Thomas L. Griffiths
2025	—	`conf`	Is In-Context Learning a Type of Error-Driven Learning? Evidence from the Inverse Frequency Effect in Structural Priming. NAACL (Long Papers) Zhenghao Zhou, Robert Frank, R. Thomas McCoy
2025	J	`jnl`	Learning to Reason via Mixture-of-Thought for Logical Reasoning. CoRR Tong Zheng, Lichang Chen, Simeng Han, R. Thomas McCoy, Heng Huang
2025	B	`conf`	Teasing Apart Architecture and Initial Weights as Sources of Inductive Bias in Neural Networks. CogSci Gianluca M. Bencomo, Max Gupta, Ioana Marinescu, R. Thomas McCoy, Tom Griffiths
2025	J	`jnl`	Teasing Apart Architecture and Initial Weights as Sources of Inductive Bias in Neural Networks. CoRR Gianluca M. Bencomo, Max Gupta, Ioana Marinescu, R. Thomas McCoy, Thomas L. Griffiths
2025	J	`jnl`	The Structural Sources of Verb Meaning Revisited: Large Language Models Display Syntactic Bootstrapping. CoRR Xiaomeng Zhu, R. Thomas McCoy, Robert Frank
2025	J	`jnl`	Using the Tools of Cognitive Science to Understand Large Language Models at Different Levels of Analysis. CoRR Alexander Ku, Declan Campbell, Xuechunzi Bai, Jiayi Geng, Ryan Liu, Raja Marjieh, R. Thomas McCoy, Andrew Nam, Ilia Sucholutsky, Veniamin Veselovsky, Liyi Zhang, Jian-Qiao Zhu, Thomas L. Griffiths
2025	J	`jnl`	What Should Embeddings Embed? Autoregressive Models Represent Latent Generating Distributions. Trans. Mach. Learn. Res. Liyi Zhang, Michael Y. Li, R. Thomas McCoy, Theodore R. Sumers, Jian-Qiao Zhu, Thomas L. Griffiths
2025	J	`jnl`	Whither symbols in the era of advanced neural networks? CoRR Thomas L. Griffiths, Brenden M. Lake, R. Thomas McCoy, Ellie Pavlick, Taylor W. Webb
2024	—	`conf`	Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning. EMNLP (Findings) Akshara Prabhakar, Thomas L. Griffiths, R. Thomas McCoy
2024	J	`jnl`	Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning. CoRR Akshara Prabhakar, Thomas L. Griffiths, R. Thomas McCoy
2024	B	`conf`	Distilling Symbolic Priors for Concept Learning into Neural Networks. CogSci Ioana Marinescu, R. Thomas McCoy, Tom Griffiths
2024	J	`jnl`	Distilling Symbolic Priors for Concept Learning into Neural Networks. CoRR Ioana Marinescu, R. Thomas McCoy, Thomas L. Griffiths
2024	J	`jnl`	Is In-Context Learning a Type of Gradient-Based Learning? Evidence from the Inverse Frequency Effect in Structural Priming. CoRR Zhenghao Zhou, Robert Frank, R. Thomas McCoy
2024	J	`jnl`	Minimization of Boolean Complexity in In-Context Concept Learning. CoRR Leroy Z. Wang, R. Thomas McCoy, Shane Steinert-Threlkeld
2024	—	`conf`	ModeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models. SIGTYPE Nathan A. Chi, Teodor Malchev, Riley Kong, Ryan Chi, Lucas Huang, Ethan A. Chi, R. Thomas McCoy, Dragomir Radev
2024	J	`jnl`	When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1. CoRR R. Thomas McCoy, Shunyu Yao, Dan Friedman, Mathew D. Hardy, Thomas L. Griffiths
2024	J	`jnl`	modeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models. CoRR Nathan A. Chi, Teodor Malchev, Riley Kong, Ryan A. Chi, Lucas Huang, Ethan A. Chi, R. Thomas McCoy, Dragomir Radev
2023	J	`jnl`	Bayes in the age of intelligent machines. CoRR Thomas L. Griffiths, Jian-Qiao Zhu, Erin Grant, R. Thomas McCoy
2023	J	`jnl`	Deep de Finetti: Recovering Topic Distributions from Large Language Models. CoRR Liyi Zhang, R. Thomas McCoy, Theodore R. Sumers, Jian-Qiao Zhu, Thomas L. Griffiths
2023	J	`jnl`	Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solve. CoRR R. Thomas McCoy, Shunyu Yao, Dan Friedman, Matthew Hardy, Thomas L. Griffiths
2023	J	`jnl`	How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVEN. Trans. Assoc. Comput. Linguistics R. Thomas McCoy, Paul Smolensky, Tal Linzen, Jianfeng Gao, Asli Celikyilmaz
2023	—	`conf`	How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech. ACL (1) Aditya Yedetore, Tal Linzen, Robert Frank, R. Thomas McCoy
2023	J	`jnl`	How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech. CoRR Aditya Yedetore, Tal Linzen, Robert Frank, R. Thomas McCoy
2023	J	`jnl`	Modeling rapid language learning by distilling Bayesian priors into artificial neural networks. CoRR R. Thomas McCoy, Thomas L. Griffiths
2022	J	`jnl`	Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systems. CoRR Paul Smolensky, R. Thomas McCoy, Roland Fernandez, Matthew Goldrick, Jianfeng Gao
2022	J	`jnl`	Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages. CoRR Paul Soulos, Sudha Rao, Caitlin Smith, Eric Rosen, Asli Celikyilmaz, R. Thomas McCoy, Yichen Jiang, Coleman Haley, Roland Fernandez, Hamid Palangi, Jianfeng Gao, Paul Smolensky
2021	J	`jnl`	How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVEN. CoRR R. Thomas McCoy, Paul Smolensky, Tal Linzen, Jianfeng Gao, Asli Celikyilmaz
2020	—	`conf`	BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance. BlackboxNLP@EMNLP R. Thomas McCoy, Junghyun Min, Tal Linzen
2020	—	`conf`	Discovering the Compositional Structure of Vector Representations with Role Learning Networks. BlackboxNLP@EMNLP Paul Soulos, R. Thomas McCoy, Tal Linzen, Paul Smolensky
2020	J	`jnl`	Does Syntax Need to Grow on Trees? Sources of Hierarchical Inductive Bias in Sequence-to-Sequence Networks. Trans. Assoc. Comput. Linguistics R. Thomas McCoy, Robert Frank, Tal Linzen
2020	J	`jnl`	Does syntax need to grow on trees? Sources of hierarchical inductive bias in sequence-to-sequence networks. CoRR R. Thomas McCoy, Robert Frank, Tal Linzen
2020	B	`conf`	Picking BERT's Brain: Probing for Linguistic Dependencies in Contextualized Embeddings Using Representational Similarity Analysis. COLING Michael A. Lepori, R. Thomas McCoy
2020	J	`jnl`	Picking BERT's Brain: Probing for Linguistic Dependencies in Contextualized Embeddings Using Representational Similarity Analysis. CoRR Michael A. Lepori, R. Thomas McCoy
2020	A*	`conf`	Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs. ACL Michael A. Lepori, Tal Linzen, R. Thomas McCoy
2020	J	`jnl`	Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs. CoRR Michael A. Lepori, Tal Linzen, R. Thomas McCoy
2020	A*	`conf`	Syntactic Data Augmentation Increases Robustness to Inference Heuristics. ACL Junghyun Min, R. Thomas McCoy, Dipanjan Das, Emily Pitler, Tal Linzen
2020	J	`jnl`	Syntactic Data Augmentation Increases Robustness to Inference Heuristics. CoRR Junghyun Min, R. Thomas McCoy, Dipanjan Das, Emily Pitler, Tal Linzen
2020	J	`jnl`	Universal linguistic inductive biases via meta-learning. CoRR R. Thomas McCoy, Erin Grant, Paul Smolensky, Thomas L. Griffiths, Tal Linzen
2019	J	`jnl`	BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance. CoRR R. Thomas McCoy, Junghyun Min, Tal Linzen
2019	—	`conf`	Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling. ACL (1) Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen, Benjamin Van Durme, Edouard Grave, Ellie Pavlick, Samuel R. Bowman
2019	J	`jnl`	Probing What Different NLP Tasks Teach Machines about Function Word Comprehension. CoRR Najoung Kim, Roma Patel, Adam Poliak, Alex Wang, Patrick Xia, R. Thomas McCoy, Ian Tenney, Alexis Ross, Tal Linzen, Benjamin Van Durme, Samuel R. Bowman, Ellie Pavlick
2019	—	`conf`	RNNs implicitly implement tensor-product representations. ICLR (Poster) R. Thomas McCoy, Tal Linzen, Ewan Dunbar, Paul Smolensky
2019	J	`jnl`	Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference. CoRR R. Thomas McCoy, Ellie Pavlick, Tal Linzen
2019	—	`conf`	What do you learn from context? Probing for sentence structure in contextualized word representations. ICLR (Poster) Ian Tenney, Patrick Xia, Berlin Chen, Alex Wang, Adam Poliak, R. Thomas McCoy, Najoung Kim, Benjamin Van Durme, Samuel R. Bowman, Dipanjan Das, Ellie Pavlick
2019	J	`jnl`	What do you learn from context? Probing for sentence structure in contextualized word representations. CoRR Ian Tenney, Patrick Xia, Berlin Chen, Alex Wang, Adam Poliak, R. Thomas McCoy, Najoung Kim, Benjamin Van Durme, Samuel R. Bowman, Dipanjan Das, Ellie Pavlick
2018	J	`jnl`	Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling. CoRR Samuel R. Bowman, Ellie Pavlick, Edouard Grave, Benjamin Van Durme, Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen
2018	J	`jnl`	Non-entailed subsequences as a challenge for natural language inference. CoRR R. Thomas McCoy, Tal Linzen
2018	J	`jnl`	RNNs Implicitly Implement Tensor Product Representations. CoRR R. Thomas McCoy, Tal Linzen, Ewan Dunbar, Paul Smolensky
2018	J	`jnl`	Revisiting the poverty of the stimulus: hierarchical generalization without a hierarchical bias in recurrent neural networks. CoRR R. Thomas McCoy, Robert Frank, Tal Linzen
2017	—	`conf`	Linguistically Rich Vector Representations of Supertags for TAG Parsing. TAG Dan Friedman, Jungo Kasai, R. Thomas McCoy, Robert Frank, Forrest Davis, Owen Rambow
2017	A*	`conf`	TAG Parsing with Neural Networks and Vector Representations of Supertags. EMNLP Jungo Kasai, Bob Frank, R. Thomas McCoy, Owen Rambow, Alexis Nasr