| CORD-19: The COVID-19 open research dataset LL Wang, K Lo, Y Chandrasekhar, R Reas, J Yang, D Eide, K Funk, ... Workshop on NLP for COVID-19, 2020 | 802* | 2020 |
| Competency problems: On finding and removing artifacts in language data M Gardner, W Merrill, J Dodge, ME Peters, A Ross, S Singh, N Smith Empirical Methods in Natural Language Processing, 2021 | 68 | 2021 |
| A formal hierarchy of RNN architectures W Merrill, G Weiss, Y Goldberg, R Schwartz, NA Smith, E Yahav Association of Computational Linguistics, 2020 | 44 | 2020 |
| Sequential neural networks as automata W Merrill Deep Learning and Formal Languages (ACL workshop), 2019 | 44 | 2019 |
| Provable limitations of acquiring meaning from ungrounded form: What will future language models understand? W Merrill, Y Goldberg, R Schwartz, NA Smith Transactions of the Association for Computational Linguistics 9, 1047-1060, 2021 | 41 | 2021 |
| ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension S Subramanian, W Merrill, T Darrell, M Gardner, S Singh, A Rohrbach Empirical Methods in Natural Language Processing, 2022 | 30 | 2022 |
| Context-free transductions with neural stacks Y Hao, W Merrill, D Angluin, R Frank, N Amsel, A Benz, S Mendelsohn BlackboxNLP, 2018 | 29 | 2018 |
| How language model hallucinations can snowball M Zhang, O Press, W Merrill, A Liu, NA Smith arXiv preprint arXiv:2305.13534, 2023 | 23 | 2023 |
| Saturated transformers are constant-depth threshold circuits W Merrill, A Sabharwal, NA Smith Transactions of the Association for Computational Linguistics 10, 843-856, 2022 | 23* | 2022 |
| Effects of parameter norm growth during transformer training: Inductive bias from gradient descent W Merrill, V Ramanujan, Y Goldberg, R Schwartz, N Smith Empirical Methods in Natural Language Processing, 2021 | 16* | 2021 |
| End-to-end graph-based TAG parsing with neural networks J Kasai, R Frank, P Xu, W Merrill, O Rambow NAACL, 2018 | 13 | 2018 |
| Formal language theory meets modern NLP W Merrill arXiv preprint arXiv:2102.10094, 2021 | 9 | 2021 |
| On the linguistic capacity of real-time counter automata W Merrill arXiv preprint arXiv:2004.06866, 2020 | 8 | 2020 |
| Finding hierarchical structure in neural stacks using unsupervised parsing W Merrill, L Khazan, N Amsel, Y Hao, S Mendelsohn, R Frank Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting …, 2019 | 7* | 2019 |
| The Parallelism Tradeoff: Limitations of Log-Precision Transformers W Merrill, A Sabharwal arXiv preprint arXiv:2207.00729, 2022 | 6* | 2022 |
| Entailment Semantics Can Be Extracted from an Ideal Language Model W Merrill, A Warstadt, T Linzen CoNLL 2022, 2022 | 4 | 2022 |
| A Tale of Two Circuits: Grokking as Competition of Sparse and Dense Subnetworks W Merrill, N Tsilivis, A Shukla arXiv preprint arXiv:2303.11873, 2023 | 2 | 2023 |
| Transformers Can Be Expressed In First-Order Logic with Majority W Merrill, A Sabharwal arXiv preprint arXiv:2210.02671, 2022 | 2* | 2022 |
| Extracting finite automata from rnns using state merging W Merrill, N Tsilivis arXiv preprint arXiv:2201.12451, 2022 | 2 | 2022 |
| Detecting syntactic change using a neural part-of-speech tagger W Merrill, GF Stark, R Frank Proceedings of the 1st International Workshop on Computational Approaches to …, 2019 | 2 | 2019 |
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
