| 2026 | CoNLL | Collocational bootstrapping: A hypothesis about the learning of subject-verb agreement in humans and neural networks. | Claire Hobbs, R. Thomas McCoy |
| 2026 | CoNLL | What Exactly do Children Receive in Language Acquisition? A Case Study on CHILDES with Automated Detection of Filler-Gap Dependencies. | Zhenghao Zhou, William Dai, Maya Viswanathan, Simon Charlow, R. Thomas McCoy, Robert Frank |
| 2026 | HCI | Evaluating the Usage of African-American Vernacular English in Large Language Models. | Deja Davis, R. Thomas McCoy |
| 2025 | CogSci | Teasing Apart Architecture and Initial Weights as Sources of Inductive Bias in Neural Networks. | Gianluca M. Bencomo, Max Gupta, Ioana Marinescu, R. Thomas McCoy, Tom Griffiths |
| 2025 | CogSci | Convolutional Neural Networks Can (Meta-)Learn the Same-Different Relation. | Max Gupta, Sunayana Rane, R. Thomas McCoy, Tom Griffiths |
| 2025 | CogSci | Additive Analogies Reveal Compositional Structure in Neural Network Weights. | Abi Tenenbaum, R. Thomas McCoy |
| 2025 | EMNLP | Evaluating distillation methods for data-efficient syntax learning. | Takateru Yamakoshi, Thomas L. Griffiths, R. Thomas McCoy, Robert D. Hawkins |
| 2025 | NAACL | Is In-Context Learning a Type of Error-Driven Learning? Evidence from the Inverse Frequency Effect in Structural Priming. | Zhenghao Zhou, Robert Frank, R. Thomas McCoy |
| 2024 | CogSci | Distilling Symbolic Priors for Concept Learning into Neural Networks. | Ioana Marinescu, R. Thomas McCoy, Tom Griffiths |
| 2024 | EMNLP | Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning. | Akshara Prabhakar, Thomas L. Griffiths, R. Thomas McCoy |
| 2023 | ACL | How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech. | Aditya Yedetore, Tal Linzen, Robert Frank, R. Thomas McCoy |
| 2020 | ACL | Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs. | Michael A. Lepori, Tal Linzen, R. Thomas McCoy |
| 2020 | ACL | Syntactic Data Augmentation Increases Robustness to Inference Heuristics. | Junghyun Min, R. Thomas McCoy, Dipanjan Das, Emily Pitler, Tal Linzen |
| 2020 | COLING | Picking BERT's Brain: Probing for Linguistic Dependencies in Contextualized Embeddings Using Representational Similarity Analysis. | Michael A. Lepori, R. Thomas McCoy |
| 2019 | ACL | Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling. | 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 | ICLR | RNNs implicitly implement tensor-product representations. | R. Thomas McCoy, Tal Linzen, Ewan Dunbar, Paul Smolensky |
| 2019 | ICLR | What do you learn from context? Probing for sentence structure in contextualized word representations. | 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 |
| 2017 | EMNLP | TAG Parsing with Neural Networks and Vector Representations of Supertags. | Jungo Kasai, Bob Frank, R. Thomas McCoy, Owen Rambow, Alexis Nasr |