Yulia Tsvetkov

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Chris DyerDeepMind, Carnegie MellonVerified email at google.com
Vidhisha BalachandranMicrosoft Research, RedmondVerified email at microsoft.com
Sachin KumarThe Ohio State UniversityVerified email at osu.edu
Alan W BlackProfessor, Language Technologies Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Shangbin FengUniversity of WashingtonVerified email at cs.washington.edu
Xiaochuang HanUniversity of WashingtonVerified email at cs.washington.edu
Anjalie FieldAssistant Professor, Johns Hopkins UniversityVerified email at jhu.edu
Manaal FaruquiResearch Scientist, GoogleVerified email at google.com
Yejin ChoiUniversity of Washington / Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Chan Young ParkCarnegie Mellon UniversityVerified email at cs.cmu.edu
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Tianxing HeUniversity of WashingtonVerified email at cs.washington.edu
Shuly WintnerUniversity of Haifa, Department of Computer ScienceVerified email at cs.haifa.ac.il
Dan JurafskyProfessor of Linguistics and Computer Science, Stanford UniversityVerified email at stanford.edu
Graham NeubigCarnegie Mellon University, All Hands AIVerified email at cs.cmu.edu
Zhaoxuan TanUniversity of Notre DameVerified email at nd.edu
David JurgensAssociate Professor, School of Information and Dept. of Computer Science, University of MichiganVerified email at umich.edu
Zirui WangResearch Scientist, Apple AI/MLVerified email at apple.com
David MortensenCarnegie Mellon UniversityVerified email at cs.cmu.edu
Wang LingGoogle DeepmindVerified email at cs.cmu.edu

Yulia Tsvetkov

University of Washington

Verified email at cs.washington.edu - Homepage

Natural Language Processing


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Simvlm: Simple visual language model pretraining with weak supervision Z Wang, J Yu, AW Yu, Z Dai, Y Tsvetkov, Y Cao arXiv preprint arXiv:2108.10904, 2021	763	2021
Style transfer through back-translation S Prabhumoye, Y Tsvetkov, R Salakhutdinov, AW Black ACL 2018, 2018	478	2018
Measuring bias in contextualized word representations K Kurita, N Vyas, A Pareek, AW Black, Y Tsvetkov arXiv preprint arXiv:1906.07337, 2019	475	2019
Problems with evaluation of word embeddings using word similarity tasks M Faruqui, Y Tsvetkov, P Rastogi, C Dyer RepEval 2016, 2016	387	2016
Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings T Manzini, YC Lim, Y Tsvetkov, AW Black NAACL 2019, 2019	372	2019
Massively multilingual word embeddings W Ammar, G Mulcaire, Y Tsvetkov, G Lample, C Dyer, NA Smith arXiv preprint arXiv:1602.01925, 2016	339	2016
Metaphor Detection with Cross-Lingual Model Transfer Y Tsvetkov, L Boytsov, A Gershman, E Nyberg, C Dyer ACL 2014, 248--258, 2014	299	2014
Understanding factuality in abstractive summarization with FRANK: A benchmark for factuality metrics A Pagnoni, V Balachandran, Y Tsvetkov arXiv preprint arXiv:2104.13346, 2021	272	2021
Sparse Overcomplete Word Vector Representations M Faruqui, Y Tsvetkov, D Yogatama, C Dyer, NA Smith ACL 2015, 2015	232	2015
Can machines learn morality? the delphi experiment L Jiang, JD Hwang, C Bhagavatula, RL Bras, J Liang, J Dodge, ... arXiv preprint arXiv:2110.07574, 2021	197*	2021
Evaluation of Word Vector Representations by Subspace Alignment Y Tsvetkov, M Faruqui, W Ling, G Lample, C Dyer EMNLP 2015, 2015	195	2015
Explaining black box predictions and unveiling data artifacts through influence functions X Han, BC Wallace, Y Tsvetkov arXiv preprint arXiv:2005.06676, 2020	183	2020
Gradient vaccine: Investigating and improving multi-task optimization in massively multilingual models Z Wang, Y Tsvetkov, O Firat, Y Cao arXiv preprint arXiv:2010.05874, 2020	177	2020
Not all contexts are created equal: Better word representations with variable attention W Ling, L Chu-Cheng, Y Tsvetkov, S Amir EMNLP 2015, 2015	167	2015
Morphological inflection generation using character sequence to sequence learning M Faruqui, Y Tsvetkov, G Neubig, C Dyer NAACL 2016, 2015	155	2015
From pretraining data to language models to downstream tasks: Tracking the trails of political biases leading to unfair NLP models S Feng, CY Park, Y Liu, Y Tsvetkov arXiv preprint arXiv:2305.08283, 2023	152	2023
Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies A Field, D Kliger, S Wintner, J Pan, D Jurafsky, Y Tsvetkov EMNLP 2018, 2018	151	2018
Finding microaggressions in the wild: A case for locating elusive phenomena in social media posts L Breitfeller, E Ahn, D Jurgens, Y Tsvetkov Proceedings of the 2019 conference on empirical methods in natural language …, 2019	149	2019
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting M Sclar, Y Choi, Y Tsvetkov, A Suhr arXiv preprint arXiv:2310.11324, 2023	146	2023
On negative interference in multilingual models: Findings and a meta-learning treatment Z Wang, ZC Lipton, Y Tsvetkov arXiv preprint arXiv:2010.03017, 2020	124	2020

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