Tom McCoy
Affiliations:- Princeton University, NJ, USA
- Johns Hopkins University, Baltimore, MD, USA (former)
- Yale University, New Haven, CT, USA (former)
According to our database1,
Tom McCoy
authored at least 27 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
On csauthors.net:
Bibliography
2024
2023
CoRR, 2023
Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solve.
CoRR, 2023
Modeling rapid language learning by distilling Bayesian priors into artificial neural networks.
CoRR, 2023
How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages.
CoRR, 2022
Neurocompositional Computing: From the Central Paradox of Cognition to a New Generation of AI Systems.
AI Mag., 2022
2021
How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVEN.
CoRR, 2021
2020
Does Syntax Need to Grow on Trees? Sources of Hierarchical Inductive Bias in Sequence-to-Sequence Networks.
Trans. Assoc. Comput. Linguistics, 2020
Picking BERT's Brain: Probing for Linguistic Dependencies in Contextualized Embeddings Using Representational Similarity Analysis.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020
Discovering the Compositional Structure of Vector Representations with Role Learning Networks.
Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020
BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance.
Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics, 2019
What do you learn from context? Probing for sentence structure in contextualized word representations.
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
CoRR, 2018
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018
Revisiting the poverty of the stimulus: hierarchical generalization without a hierarchical bias in recurrent neural networks.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018
2017
Proceedings of the 13th International Workshop on Tree Adjoining Grammars and Related Formalisms, 2017
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017