World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6164
World Ranking
10717
National Ranking
4477

Overview

Yulia Tsvetkov is affiliated with the University of Washington in the United States and is an active researcher in the field of computer science, with a focus on artificial intelligence and related subfields. Their body of work spans multiple specialized areas including artificial intelligence, computer vision and pattern recognition, information systems, communication, and language and linguistics.

Their research topics prominently cover:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Hate Speech and Cyberbullying Detection
  • Multimodal Machine Learning Applications
  • Text Readability and Simplification
  • Explainable Artificial Intelligence (XAI)
  • Advanced Text Analysis Techniques

Yulia Tsvetkov has published extensively, with more than 200 publications in computer science. They have contributed significantly to frequent publication venues such as:

  • arXiv (Cornell University)
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Transactions of the Association for Computational Linguistics
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • bioRxiv (Cold Spring Harbor Laboratory)

Notable recent papers include:

  • "SimVLM: Simple Visual Language Model Pretraining with Weak Supervision" (2021), published in arXiv (Cornell University)
  • "Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models" (2020), published in arXiv (Cornell University)
  • "Automating Moral Reasoning (Invited Paper)" (2022), published in Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting" (2023), published in arXiv (Cornell University)
  • "Medical Hallucination in Foundation Models and Their Impact on Healthcare" (2025), published in bioRxiv (Cold Spring Harbor Laboratory)

Collaborative efforts form an integral part of their research, with frequent coauthors including:

  • Shangbin Feng (28 collaborations)
  • Vidhisha Balachandran (23 collaborations)
  • Chan Young Park (18 collaborations)
  • Xiaochuang Han (17 collaborations)
  • Yejin Choi (14 collaborations)

Best Publications

  • Measuring Bias in Contextualized Word Representations

    Keita Kurita;Nidhi Vyas;Ayush Pareek;Alan W Black

  • Massively Multilingual Word Embeddings

    Waleed Ammar;George Mulcaire;Yulia Tsvetkov;Guillaume Lample

  • Style Transfer Through Back-Translation

    Shrimai Prabhumoye;Yulia Tsvetkov;Ruslan Salakhutdinov;Alan W Black

  • SimVLM: Simple Visual Language Model Pretraining with Weak Supervision

    Zirui Wang;Jiahui Yu;Adams Wei Yu;Zihang Dai

  • Problems With Evaluation of Word Embeddings Using Word Similarity Tasks

    Manaal Faruqui;Yulia Tsvetkov;Pushpendre Rastogi;Chris Dyer

  • Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings.

    Thomas Manzini;Lim Yao Chong;Alan W Black;Yulia Tsvetkov

  • Metaphor Detection with Cross-Lingual Model Transfer

    Yulia Tsvetkov;Leonid Boytsov;Anatole Gershman;Eric Nyberg

  • Evaluation of Word Vector Representations by Subspace Alignment

    Yulia Tsvetkov;Manaal Faruqui;Wang Ling;Guillaume Lample

  • Sparse Overcomplete Word Vector Representations

    Manaal Faruqui;Yulia Tsvetkov;Dani Yogatama;Chris Dyer

  • Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics.

    Artidoro Pagnoni;Vidhisha Balachandran;Yulia Tsvetkov

  • Not All Contexts Are Created Equal: Better Word Representations with Variable Attention

    Wang Ling;Yulia Tsvetkov;Silvio Amir;Ramon Fermandez

  • Morphological Inflection Generation Using Character Sequence to Sequence Learning

    Manaal Faruqui;Yulia Tsvetkov;Graham Neubig;Chris Dyer

  • Extraction of multi-word expressions from small parallel corpora

    Yulia Tsvetkov;Shuly Wintner

  • Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies

    Anjalie Field;Doron Kliger;Shuly Wintner;Jennifer Pan

  • Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts.

    Luke Breitfeller;Emily Ahn;David Jurgens;Yulia Tsvetkov

  • Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions

    Xiaochuang Han;Byron C. Wallace;Yulia Tsvetkov

  • A Framework for the Computational Linguistic Analysis of Dehumanization.

    Julia Mendelsohn;Yulia Tsvetkov;Dan Jurafsky

  • Demoting Racial Bias in Hate Speech Detection

    Mengzhou Xia;Anjalie Field;Yulia Tsvetkov

  • Balancing Training for Multilingual Neural Machine Translation

    Xinyi Wang;Yulia Tsvetkov;Graham Neubig

  • Incorporating Dialectal Variability for Socially Equitable Language Identification

    David Jurgens;Yulia Tsvetkov;Dan Jurafsky

  • Proceedings of the Ninth International Conference on Language Resources and Evaluation

    Yulia Tsvetkov;Nathan Schneider;Dirk Hovy;Archna Bhatia

  • A Survey of Race, Racism, and Anti-Racism in NLP

    Anjalie Field;Su Lin Blodgett;Zeerak Waseem;Yulia Tsvetkov

Frequent Co-Authors

Chris Dyer
Chris Dyer Google (United States)
Alan W. Black
Alan W. Black Carnegie Mellon University
Graham Neubig
Graham Neubig Carnegie Mellon University
Dan Jurafsky
Dan Jurafsky Stanford University
David Jurgens
David Jurgens University of Michigan–Ann Arbor
Jaime G. Carbonell
Jaime G. Carbonell Carnegie Mellon University
Jeffrey P. Bigham
Jeffrey P. Bigham Carnegie Mellon University
Noah A. Smith
Noah A. Smith University of Washington
Lori Levin
Lori Levin Carnegie Mellon University
Ruslan Salakhutdinov
Ruslan Salakhutdinov Carnegie Mellon University

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