Roy Schwartz
Roy Schwartz
Senior lecturer, the School of Computer Science, the Hebrew University of Jerusalem
Verified email at - Homepage
Cited by
Cited by
Green AI
R Schwartz, J Dodge, NA Smith, O Etzioni
CACM 63 (December 2020), 54-63, 2020
Annotation Artifacts in Natural Language Inference Data
S Gururangan, S Swayamdipta, O Levy, R Schwartz, SR Bowman, ...
NAACL-HLT 2018, 2018
Knowledge Enhanced Contextual Word Representations
ME Peters, M Neumann, RL Logan IV, R Schwartz, V Joshi, S Singh, ...
EMNLP 2019, 2019
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference
R Zellers, Y Bisk, R Schwartz, Y Choi
EMNLP 2018, 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
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
S Swayamdipta, R Schwartz, N Lourie, Y Wang, H Hajishirzi, NA Smith, ...
EMNLP 2020, 2020
Random Feature Attention
H Peng, N Pappas, D Yogatama, R Schwartz, NA Smith, L Kong
ICLR 2021, 2021
Show Your Work: Improved Reporting of Experimental Results
J Dodge, S Gururangan, D Card, R Schwartz, NA Smith
EMNLP 2019, 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
Authorship Attribution of Micro-Messages
R Schwartz, O Tsur, A Rappoport, M Koppel
EMNLP 2013, 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
Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction.
R Schwartz, R Reichart, A Rappoport
CoNLL 2015, 2015
Measuring the Carbon Intensity of AI in Cloud Instances
J Dodge, T Prewitt, RTD Combes, E Odmark, R Schwartz, E Strubell, ...
FAccT 2022, 2022
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
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets
NF Liu, R Schwartz, NA Smith
NAACL 2019, 2019
Data Contamination: From Memorization to Exploitation
I Magar, R Schwartz
ACL 2022, 2022
How well do distributional models capture different types of semantic knowledge?
D Rubinstein, E Levi, R Schwartz, A Rappoport
ACL 2015, 2015
A Formal Hierarchy of RNN Architectures
W Merrill, G Weiss, Y Goldberg, R Schwartz, NA Smith, E Yahav
ACL 2020, 2020
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
Provable Limitations of Acquiring Meaning from Ungrounded Form: What will Future Language Models Understand?
W Merrill, Y Goldberg, R Schwartz, NA Smith
TACL, 2021
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