متابعة
Yulia Tsvetkov
Yulia Tsvetkov
University of Washington
بريد إلكتروني تم التحقق منه على cs.washington.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
8692021
Measuring bias in contextualized word representations‏
K Kurita, N Vyas, A Pareek, AW Black, Y Tsvetkov‏
arXiv preprint arXiv:1906.07337, 2019‏
5232019
Style transfer through back-translation‏
S Prabhumoye, Y Tsvetkov, R Salakhutdinov, AW Black‏
ACL 2018, 2018‏
4922018
Problems with evaluation of word embeddings using word similarity tasks‏
M Faruqui, Y Tsvetkov, P Rastogi, C Dyer‏
RepEval 2016, 2016‏
3992016
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
3902019
Massively multilingual word embeddings‏
W Ammar, G Mulcaire, Y Tsvetkov, G Lample, C Dyer, NA Smith‏
arXiv preprint arXiv:1602.01925, 2016‏
3442016
Metaphor Detection with Cross-Lingual Model Transfer‏
Y Tsvetkov, L Boytsov, A Gershman, E Nyberg, C Dyer‏
ACL 2014, 248--258, 2014‏
3122014
Understanding factuality in abstractive summarization with FRANK: A benchmark for factuality metrics‏
A Pagnoni, V Balachandran, Y Tsvetkov‏
arXiv preprint arXiv:2104.13346, 2021‏
3062021
Sparse Overcomplete Word Vector Representations‏
M Faruqui, Y Tsvetkov, D Yogatama, C Dyer, NA Smith‏
ACL 2015, 2015‏
2412015
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
229*2021
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
2242023
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
2202023
Evaluation of Word Vector Representations by Subspace Alignment‏
Y Tsvetkov, M Faruqui, W Ling, G Lample, C Dyer‏
EMNLP 2015, 2015‏
2012015
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
1982020
Explaining black box predictions and unveiling data artifacts through influence functions‏
X Han, BC Wallace, Y Tsvetkov‏
arXiv preprint arXiv:2005.06676, 2020‏
1962020
Not all contexts are created equal: Better word representations with variable attention‏
W Ling, L Chu-Cheng, Y Tsvetkov, S Amir‏
EMNLP 2015, 2015‏
1682015
Morphological inflection generation using character sequence to sequence learning‏
M Faruqui, Y Tsvetkov, G Neubig, C Dyer‏
NAACL 2016, 2015‏
1572015
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
1562018
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
1552019
Can language models solve graph problems in natural language?‏
H Wang, S Feng, T He, Z Tan, X Han, Y Tsvetkov‏
Advances in Neural Information Processing Systems 36, 2024‏
1512024
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20