R. Thomas McCoy
Johns Hopkins University
H-index: 18
North America-United States
Top articles of R. Thomas McCoy
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
MODELING: A Novel Dataset for Testing Linguistic Reasoning in Language Models | Nathan Chi Teodor Malchev Riley Kong Ryan Chi Lucas Huang | 2024/3 | |
Distilling Symbolic Priors for Concept Learning into Neural Networks | arXiv preprint arXiv:2402.07035 | Ioana Marinescu R Thomas McCoy Thomas L Griffiths | 2024/2/10 |
Embers of autoregression: Understanding large language models through the problem they are trained to solve | arXiv preprint arXiv:2309.13638 | R Thomas McCoy Shunyu Yao Dan Friedman Matthew Hardy Thomas L Griffiths | 2023/9/24 |
How much do language models copy from their training data? evaluating linguistic novelty in text generation using raven | Transactions of the Association for Computational Linguistics | R Thomas McCoy Paul Smolensky Tal Linzen Jianfeng Gao Asli Celikyilmaz | 2023/6/29 |
Modeling rapid language learning by distilling Bayesian priors into artificial neural networks | arXiv preprint arXiv:2305.14701 | R Thomas McCoy Thomas L Griffiths | 2023/5/24 |
Deep de Finetti: Recovering Topic Distributions from Large Language Models | arXiv preprint arXiv:2312.14226 | Liyi Zhang R Thomas McCoy Theodore R Sumers Jian-Qiao Zhu Thomas L Griffiths | 2023/12/21 |
How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech | arXiv preprint arXiv:2301.11462 | Aditya Yedetore Tal Linzen Robert Frank R Thomas McCoy | 2023/1/26 |
Bayes in the age of intelligent machines | arXiv preprint arXiv:2311.10206 | Thomas L Griffiths Jian-Qiao Zhu Erin Grant R Thomas McCoy | 2023/11/16 |
On the hazards of relating representations and inductive biases | Behavioral and Brain Sciences | Thomas L Griffiths Sreejan Kumar R Thomas McCoy | 2023/9/28 |
Structural biases for improving transformers on translation into morphologically rich languages | arXiv preprint arXiv:2208.06061 | Paul Soulos Sudha Rao Caitlin Smith Eric Rosen Asli Celikyilmaz | 2022/8/11 |
IMPLICIT COMPOSITIONAL STRUCTURE IN THE VECTOR REPRESENTATIONS OF ARTIFICIAL NEURAL NETWORKS | Richard Thomas McCoy | 2022/7/11 | |
Neurocompositional computing in human and machine intelligence: A tutorial | Paul Smolensky R Thomas McCoy Roland Fernandez Matthew Goldrick Jianfeng Gao | 2022 | |
Neurocompositional computing: from the central paradox of cognition to a new generation of AI systems | AI Magazine | Paul Smolensky Richard McCoy Roland Fernandez Matthew Goldrick Jianfeng Gao | 2022/9/7 |
Infinite use of finite means? Evaluating the generalization of center embedding learned from an artificial grammar | R Thomas McCoy Jennifer Culbertson Paul Smolensky Géraldine Legendre | 2021/5/11 | |
Discovering the compositional structure of vector representations with role learning networks | Paul Soulos Tom McCoy Tal Linzen Paul Smolensky | 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 | Michael A Lepori Tal Linzen R Thomas McCoy | 2020/4/30 |
Syntactic data augmentation increases robustness to inference heuristics | arXiv preprint arXiv:2004.11999 | Junghyun Min R Thomas McCoy Dipanjan Das Emily Pitler Tal Linzen | 2020/4/24 |
Tensor product decomposition networks: Uncovering representations of structure learned by neural networks | Proceedings of the Society for Computation in Linguistics | Richard T McCoy Tal Linzen Ewan Dunbar Paul Smolensky | 2020 |
Does syntax need to grow on trees? sources of hierarchical inductive bias in sequence-to-sequence networks | Transactions of the Association for Computational Linguistics | R Thomas McCoy Robert Frank Tal Linzen | 2020/1/1 |
Picking BERT's Brain: Probing for Linguistic Dependencies in Contextualized Embeddings Using Representational Similarity Analysis | Michael A Lepori R Thomas McCoy | 2020/11 |
Co-Authors
