R. Thomas McCoy
Yale University(US)
Publications by Year
Research Areas
Natural Language Processing Techniques, Topic Modeling, Text Readability and Simplification, Neural Networks and Applications, Multimodal Machine Learning Applications
Most-Cited Works
- → Syntactic Data Augmentation Increases Robustness to Inference Heuristics(2020)147 cited
- → What do you learn from context? Probing for sentence structure in contextualized word representations(2019)139 cited
- → BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance(2020)104 cited
- → Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling(2019)90 cited
- → Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference(2019)88 cited
- → Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systems(2022)60 cited
- → Embers of autoregression show how large language models are shaped by the problem they are trained to solve(2024)59 cited
- → Revisiting the poverty of the stimulus: hierarchical generalization without a hierarchical bias in recurrent neural networks(2018)47 cited
- → How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVEN(2023)44 cited
- → RNNs Implicitly Implement Tensor Product Representations(2018)41 cited