William Merrill

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Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Ashish SabharwalAllen Institute for AI (AI2)Verified email at allenai.org
Yoav GoldbergProfessor, Bar Ilan University. Research Director, AI2-IsraelVerified email at cs.biu.ac.il
Roy SchwartzSenior lecturer, the School of Computer Science, the Hebrew University of JerusalemVerified email at mail.huji.ac.il
Robert FrankProfessor of Linguistics, Yale UniversityVerified email at yale.edu
Gail WeissEPFL - École Polytechnique Fédérale de LausanneVerified email at epfl.ch
Sameer SinghProfessor, UC Irvine | CTO, Spiffy AIVerified email at uci.edu
Matt GardnerScaled CognitionVerified email at scaledcognition.com
Dana AngluinProfessor of Computer Science, Yale UniversityVerified email at cs.yale.edu
Alisa LiuUniversity of WashingtonVerified email at cs.washington.edu
Ofir PressPrinceton UniversityVerified email at princeton.edu
Sophie HaoAssistant Professor/Faculty Fellow, New York UniversityVerified email at nyu.edu
Noah AmselCourant Institute, NYUVerified email at aya.yale.edu
Simon MendelsohnSoftware EngineerVerified email at broadinstitute.org
Sanjay SubramanianUC BerkeleyVerified email at berkeley.edu
Nikolaos TsilivisNew York UniversityVerified email at nyu.edu
Jesse DodgeAllen Institute for AIVerified email at allenai.org
Eran YahavTechnion, IsraelVerified email at cs.technion.ac.il
Vivek RamanujanUniversity of WashingtonVerified email at cs.washington.edu
Tal LinzenNew York UniversityVerified email at nyu.edu

William Merrill

New York University

Verified email at nyu.edu - Homepage

formal languages computational linguistics deep learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	1026*	2020
How language model hallucinations can snowball M Zhang, O Press, W Merrill, A Liu, NA Smith arXiv preprint arXiv:2305.13534, 2023	228	2023
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	111	2022
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	95	2021
Saturated transformers are constant-depth threshold circuits W Merrill, A Sabharwal, NA Smith Transactions of the Association for Computational Linguistics 10, 843-856, 2022	88	2022
Olmo: Accelerating the science of language models D Groeneveld, I Beltagy, P Walsh, A Bhagia, R Kinney, O Tafjord, AH Jha, ... arXiv preprint arXiv:2402.00838, 2024	87	2024
A formal hierarchy of RNN architectures W Merrill, G Weiss, Y Goldberg, R Schwartz, NA Smith, E Yahav Association of Computational Linguistics, 2020	84	2020
Sequential neural networks as automata W Merrill Deep Learning and Formal Languages (ACL workshop), 2019	78	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	73	2021
The Parallelism Tradeoff: Limitations of Log-Precision Transformers W Merrill, A Sabharwal TACL, 2022	61	2022
The Expressive Power of Transformers with Chain of Thought W Merrill, A Sabharwal ICLR 2024, 2023	60	2023
Context-free transductions with neural stacks Y Hao, W Merrill, D Angluin, R Frank, N Amsel, A Benz, S Mendelsohn BlackboxNLP, 2018	45	2018
What formal languages can transformers express? a survey L Strobl, W Merrill, G Weiss, D Chiang, D Angluin Transactions of the Association for Computational Linguistics 12, 543-561, 2024	42*	2024
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	32	2023
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	32	2021
Let's Think Dot by Dot: Hidden Computation in Transformer Language Models J Pfau, W Merrill, SR Bowman arXiv preprint arXiv:2404.15758, 2024	28	2024
A Logic for Expressing Log-Precision Transformers W Merrill, A Sabharwal NeurIPS 2023, 2022	27*	2022
The illusion of state in state-space models W Merrill, J Petty, A Sabharwal arXiv preprint arXiv:2404.08819, 2024	23	2024
End-to-end graph-based TAG parsing with neural networks J Kasai, R Frank, P Xu, W Merrill, O Rambow NAACL, 2018	16	2018
Entailment Semantics Can Be Extracted from an Ideal Language Model W Merrill, A Warstadt, T Linzen CoNLL 2022, 2022	14	2022

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