| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 2213 | 2022 |
| Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference RT McCoy, E Pavlick, T Linzen Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 1549 | 2019 |
| Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies T Linzen, E Dupoux, Y Goldberg Transactions of the Association for Computational Linguistics 4, 521-535, 2016 | 1206 | 2016 |
| Colorless green recurrent networks dream hierarchically K Gulordava, P Bojanowski, E Grave, T Linzen, M Baroni Proceedings of the 16th Annual Conference of the North American Chapter of …, 2018 | 773 | 2018 |
| Targeted Syntactic Evaluation of Language Models R Marvin, T Linzen Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 580 | 2018 |
| COGS: A Compositional Generalization Challenge Based on Semantic Interpretation N Kim, T Linzen EMNLP, 2020 | 364 | 2020 |
| Syntactic Structure from Deep Learning T Linzen, M Baroni Annual Reviews of Linguistics, 2021 | 341 | 2021 |
| Findings of the BabyLM Challenge: Sample-efficient pretraining on developmentally plausible corpora A Warstadt, A Mueller, L Choshen, E Wilcox, C Zhuang, J Ciro, ... Proceedings of the BabyLM Challenge at the 27th Conference on Computational …, 2023 | 276 | 2023 |
| How Can We Accelerate Progress Towards Human-like Linguistic Generalization? T Linzen Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 248 | 2020 |
| Syntactic Data Augmentation Increases Robustness to Inference Heuristics J Min, RT McCoy, D Das, E Pitler, T Linzen Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 228 | 2020 |
| Issues in evaluating semantic spaces using word analogies T Linzen Proceedings of the First Workshop on Evaluating Vector Space Representations …, 2016 | 216 | 2016 |
| How much do language models copy from their training data? evaluating linguistic novelty in text generation using raven RT McCoy, P Smolensky, T Linzen, J Gao, A Celikyilmaz Transactions of the Association for Computational Linguistics 11, 652-670, 2023 | 199 | 2023 |
| BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance RT McCoy, J Min, T Linzen Proceedings of BlackboxNLP 2020, 2019 | 193 | 2019 |
| Uncertainty and expectation in sentence processing: evidence from subcategorization distributions T Linzen, TF Jaeger Cognitive Science 40 (6), 1382-1411, 2016 | 165 | 2016 |
| Human few-shot learning of compositional instructions BM Lake, T Linzen, M Baroni Proceedings of the 41st Annual Conference of the Cognitive Science Society, 2019 | 156 | 2019 |
| Does syntax need to grow on trees? Sources of hierarchical inductive bias in sequence-to-sequence networks RT McCoy, R Frank, T Linzen Transactions of the Association for Computational Linguistics 8, 125--140, 2020 | 153 | 2020 |
| In Spoken Word Recognition, the Future Predicts the Past L Gwilliams, T Linzen, D Poeppel, A Marantz Journal of Neuroscience 38 (35), 7585-7599, 2018 | 144 | 2018 |
| Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models M Finlayson, A Mueller, S Shieber, S Gehrmann, T Linzen, Y Belinkov Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 137 | 2021 |
| Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark N Dziri, H Rashkin, T Linzen, D Reitter Transactions of the Association for Computational Linguistics 10, 1066-1083, 2022 | 125* | 2022 |
| Probing what different NLP tasks teach machines about function word comprehension N Kim, R Patel, A Poliak, A Wang, P Xia, RT McCoy, I Tenney, A Ross, ... Proceedings of the Eighth Joint Conference on Lexical and Computational …, 2019 | 125 | 2019 |
R. Thomas McCoyAssistant Professor of Linguistics, Yale UniversityVerified email at yale.edu
