Roy Schwartz

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Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Jesse DodgeAllen Institute for AIVerified email at allenai.org
Yejin ChoiUniversity of Washington / Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Hannaneh HajishirziUniversity of Washington; Allen AIVerified email at cs.washington.edu
Ari RappoportAssociate Professor of Computer Science, The Hebrew UniversityVerified email at mail.huji.ac.il
Oren EtzioniProfessor, University of WashingtonVerified email at cs.uw.edu
Hao PengUniversity of Illinois Urbana-ChampaignVerified email at illinois.edu
Swabha SwayamdiptaUniversity of Southern CaliforniaVerified email at usc.edu
Suchin GururanganUniversity of WashingtonVerified email at cs.washington.edu
Gabriel StanovskyThe Hebrew University of JerusalemVerified email at mail.huji.ac.il
Omer LevyGoogle DeepMindVerified email at google.com
Matthew E PetersSpiffy AI, Allen Institute for Artificial IntelligenceVerified email at allenai.org
Nikolaos PappasAmazon (AWS AI Labs)Verified email at amazon.com
Michael HassidMeta FAIR, Hebrew University of JerusalemVerified email at mail.huji.ac.il
Emma StrubellAssistant Professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Roi ReichartTechnion - Israel Institute of TechnologyVerified email at ie.technion.ac.il
Vidur JoshiAllen Institute for Artificial IntelligenceVerified email at allenai.org
Sameer SinghAssociate Professor, UC IrvineVerified email at uci.edu
Yonatan BiskAssistant Professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Yonatan BittonResearch Scientist, GoogleVerified email at google.com

Roy Schwartz

Senior lecturer, the School of Computer Science, the Hebrew University of Jerusalem

Verified email at mail.huji.ac.il - Homepage

Natural Language Processing Artificial Intelligence Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Green AI R Schwartz, J Dodge, NA Smith, O Etzioni CACM 63 (December 2020), 54-63, 2020	1549	2020
Annotation Artifacts in Natural Language Inference Data S Gururangan, S Swayamdipta, O Levy, R Schwartz, SR Bowman, ... NAACL-HLT 2018, 2018	1236	2018
Knowledge Enhanced Contextual Word Representations ME Peters, M Neumann, RL Logan IV, R Schwartz, V Joshi, S Singh, ... EMNLP 2019, 2019	824	2019
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference R Zellers, Y Bisk, R Schwartz, Y Choi EMNLP 2018, 2018	810	2018
Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping J Dodge, G Ilharco, R Schwartz, A Farhadi, H Hajishirzi, N Smith arXiv:2002.06305, 2020	622	2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics S Swayamdipta, R Schwartz, N Lourie, Y Wang, H Hajishirzi, NA Smith, ... EMNLP 2020, 2020	356	2020
Random Feature Attention H Peng, N Pappas, D Yogatama, R Schwartz, NA Smith, L Kong ICLR 2021, 2021	336	2021
Show Your Work: Improved Reporting of Experimental Results J Dodge, S Gururangan, D Card, R Schwartz, NA Smith EMNLP 2019, 2019	287	2019
A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications D Kang, W Ammar, B Dalvi, M van Zuylen, S Kohlmeier, E Hovy, ... NAACL 2018, 2018	210	2018
Authorship Attribution of Micro-Messages R Schwartz, O Tsur, A Rappoport, M Koppel EMNLP 2013, 2013	190	2013
The Right Tool for the Job: Matching Model and Instance Complexities R Schwartz, G Stanovsky, S Swayamdipta, J Dodge, NA Smith ACL 2020, 2020	164	2020
Measuring the Carbon Intensity of AI in Cloud Instances J Dodge, T Prewitt, RTD Combes, E Odmark, R Schwartz, E Strubell, ... FAccT 2022, 2022	158	2022
Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction. R Schwartz, R Reichart, A Rappoport CoNLL 2015, 2015	143	2015
The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task R Schwartz, M Sap, I Konstas, L Zilles, Y Choi, NA Smith CoNLL 2017, 2017	123	2017
Data Contamination: From Memorization to Exploitation I Magar, R Schwartz ACL 2022, 2022	115	2022
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets NF Liu, R Schwartz, NA Smith NAACL 2019, 2019	115	2019
How well do distributional models capture different types of semantic knowledge? D Rubinstein, E Levi, R Schwartz, A Rappoport ACL 2015, 2015	89	2015
Efficient Methods for Natural Language Processing: A Survey M Treviso, T Ji, JU Lee, B van Aken, Q Cao, MR Ciosici, M Hassid, ... TACL, 2023	88	2023
A Formal Hierarchy of RNN Architectures W Merrill, G Weiss, Y Goldberg, R Schwartz, NA Smith, E Yahav ACL 2020, 2020	79	2020
Provable Limitations of Acquiring Meaning from Ungrounded Form: What will Future Language Models Understand? W Merrill, Y Goldberg, R Schwartz, NA Smith TACL, 2021	68	2021

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