R. Thomas McCoy

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 39

Top Topics

Vector Representation

Dependency Structure

Top Venues

BlackboxNLP@EMNLP

Trans. Assoc. Comput. Linguistics

Publications

Nathan A. Chi, Teodor Malchev, Riley Kong, Ryan Chi, Lucas Huang, Ethan A. Chi, R. Thomas McCoy, Dragomir Radev
ModeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models. SIGTYPE (2024)
Ioana Marinescu, R. Thomas McCoy, Thomas L. Griffiths
Distilling Symbolic Priors for Concept Learning into Neural Networks. CoRR (2024)
Nathan A. Chi, Teodor Malchev, Riley Kong, Ryan A. Chi, Lucas Huang, Ethan A. Chi, R. Thomas McCoy, Dragomir Radev
modeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models. CoRR (2024)
Akshara Prabhakar, Thomas L. Griffiths, R. Thomas McCoy
Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning. CoRR (2024)
Zhenghao Zhou, Robert Frank, R. Thomas McCoy
Is In-Context Learning a Type of Gradient-Based Learning? Evidence from the Inverse Frequency Effect in Structural Priming. CoRR (2024)
Thomas L. Griffiths, Jian-Qiao Zhu, Erin Grant, R. Thomas McCoy
Bayes in the age of intelligent machines. CoRR (2023)
Aditya Yedetore, Tal Linzen, Robert Frank, R. Thomas McCoy
How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech. CoRR (2023)
R. Thomas McCoy, Shunyu Yao, Dan Friedman, Matthew Hardy, Thomas L. Griffiths
Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solve. CoRR (2023)
Liyi Zhang, R. Thomas McCoy, Theodore R. Sumers, Jian-Qiao Zhu, Thomas L. Griffiths
Deep de Finetti: Recovering Topic Distributions from Large Language Models. CoRR (2023)
R. Thomas McCoy, Thomas L. Griffiths
Modeling rapid language learning by distilling Bayesian priors into artificial neural networks. CoRR (2023)
R. Thomas McCoy, Paul Smolensky, Tal Linzen, Jianfeng Gao, Asli Celikyilmaz
How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVEN. Trans. Assoc. Comput. Linguistics 11 (2023)
Aditya Yedetore, Tal Linzen, Robert Frank, R. Thomas McCoy
How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech. ACL (1) (2023)
Paul Smolensky, R. Thomas McCoy, Roland Fernandez, Matthew Goldrick, Jianfeng Gao
Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systems. CoRR (2022)
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
Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages. CoRR (2022)
R. Thomas McCoy, Paul Smolensky, Tal Linzen, Jianfeng Gao, Asli Celikyilmaz
How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVEN. CoRR (2021)
Michael A. Lepori, R. Thomas McCoy
Picking BERT's Brain: Probing for Linguistic Dependencies in Contextualized Embeddings Using Representational Similarity Analysis. CoRR (2020)
Paul Soulos, R. Thomas McCoy, Tal Linzen, Paul Smolensky
Discovering the Compositional Structure of Vector Representations with Role Learning Networks. BlackboxNLP@EMNLP (2020)
R. Thomas McCoy, Robert Frank, Tal Linzen
Does syntax need to grow on trees? Sources of hierarchical inductive bias in sequence-to-sequence networks. CoRR (2020)
Michael A. Lepori, Tal Linzen, R. Thomas McCoy
Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs. ACL (2020)
Michael A. Lepori, R. Thomas McCoy
Picking BERT's Brain: Probing for Linguistic Dependencies in Contextualized Embeddings Using Representational Similarity Analysis. COLING (2020)
R. Thomas McCoy, Erin Grant, Paul Smolensky, Thomas L. Griffiths, Tal Linzen
Universal linguistic inductive biases via meta-learning. CoRR (2020)
R. Thomas McCoy, Junghyun Min, Tal Linzen
BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance. BlackboxNLP@EMNLP (2020)
Michael A. Lepori, Tal Linzen, R. Thomas McCoy
Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs. CoRR (2020)
R. Thomas McCoy, Robert Frank, Tal Linzen
Does Syntax Need to Grow on Trees? Sources of Hierarchical Inductive Bias in Sequence-to-Sequence Networks. Trans. Assoc. Comput. Linguistics 8 (2020)
Junghyun Min, R. Thomas McCoy, Dipanjan Das, Emily Pitler, Tal Linzen
Syntactic Data Augmentation Increases Robustness to Inference Heuristics. CoRR (2020)
Junghyun Min, R. Thomas McCoy, Dipanjan Das, Emily Pitler, Tal Linzen
Syntactic Data Augmentation Increases Robustness to Inference Heuristics. ACL (2020)
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
What do you learn from context? Probing for sentence structure in contextualized word representations. ICLR (Poster) (2019)
R. Thomas McCoy, Junghyun Min, Tal Linzen
BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance. CoRR (2019)
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
Probing What Different NLP Tasks Teach Machines about Function Word Comprehension. CoRR (2019)
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
What do you learn from context? Probing for sentence structure in contextualized word representations. CoRR (2019)
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
Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling. ACL (1) (2019)
R. Thomas McCoy, Ellie Pavlick, Tal Linzen
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference. CoRR (2019)
R. Thomas McCoy, Tal Linzen, Ewan Dunbar, Paul Smolensky
RNNs implicitly implement tensor-product representations. ICLR (Poster) (2019)
R. Thomas McCoy, Tal Linzen, Ewan Dunbar, Paul Smolensky
RNNs Implicitly Implement Tensor Product Representations. CoRR (2018)
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
Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling. CoRR (2018)
R. Thomas McCoy, Tal Linzen
Non-entailed subsequences as a challenge for natural language inference. CoRR (2018)
R. Thomas McCoy, Robert Frank, Tal Linzen
Revisiting the poverty of the stimulus: hierarchical generalization without a hierarchical bias in recurrent neural networks. CoRR (2018)
Jungo Kasai, Bob Frank, R. Thomas McCoy, Owen Rambow, Alexis Nasr
TAG Parsing with Neural Networks and Vector Representations of Supertags. EMNLP (2017)
Dan Friedman, Jungo Kasai, R. Thomas McCoy, Robert Frank, Forrest Davis, Owen Rambow
Linguistically Rich Vector Representations of Supertags for TAG Parsing. TAG (2017)