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Yulia Tsvetkov — all works

68 works · ← Yulia Tsvetkov

  1. Style Transfer Through Back-TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov, et al.2018 · 558 citations
  2. SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionarXiv:2108.10904Zirui Wang, Jiahui Yu, Adams Wei Yu, et al.2021 · 481 citations
  3. Massively Multilingual Word EmbeddingsarXiv:1602.01925Waleed Ammar, George Mulcaire, Yulia Tsvetkov, et al.2016 · 404 citations
  4. Evaluation of Word Vector Representations by Subspace Alignment ↗Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yetYulia Tsvetkov et al.2015 · 209 citations
  5. Morphological Inflection Generation Using Character Sequence to Sequence Learning ↗Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetManaal Faruqui et al.2016 · 181 citations
  6. Not All Contexts Are Created Equal: Better Word Representations with Variable Attention ↗Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yetWang Ling et al.2015 · 166 citations
  7. Balancing Training for Multilingual Neural Machine Translation ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetXinyi Wang, Yulia Tsvetkov, Graham Neubig2020 · 137 citations
  8. A Survey of Race, Racism, and Anti-Racism in NLP ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetAnjalie Field et al.2021 · 136 citations
  9. Incorporating Dialectal Variability for Socially Equitable Language Identification ↗Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetDavid Jurgens, Yulia Tsvetkov, Dan Jurafsky2017 · 127 citations
  10. Can Language Models Solve Graph Problems in Natural Language? ↗arXiv:2305.10037 · no summary yetHeng Wang et al.2023 · 124 citations
  11. Fine-grained Hallucination Detection and Editing for Language ModelsarXiv:2401.06855Abhika Mishra, Akari Asai, Vidhisha Balachandran, et al.2024 · 100 citations
  12. Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning ↗Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYulia Tsvetkov et al.2016 · 97 citations
  13. Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning ↗Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetYulia Tsvetkov et al.2016 · 94 citations
  14. Fortifying Toxic Speech Detectors Against Veiled Toxicity ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetXiaochuang Han, Yulia Tsvetkov2020 · 91 citations
  15. RtGender: A Corpus for Studying Differential Responses to Gender ↗Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) · no summary yetRob Voigt et al.2018 · 88 citations
  16. Do Membership Inference Attacks Work on Large Language Models?arXiv:2402.07841Michael Duan, Anshuman Suri, Niloofar Mireshghallah, et al.2024 · 87 citations
  17. Tuning Language Models by Proxy ↗arXiv:2401.08565 · no summary yetAlisa Liu et al.2024 · 79 citations
  18. DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetHerun Wan et al.2024 · 79 citations
  19. SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetAbe Hou et al.2024 · 77 citations
  20. Augmenting English Adjective Senses with SupersensesLanguage Resources and Evaluation Conference (LREC)Yulia Tsvetkov, Nathan Schneider, Dirk Hovy, et al.2014 · 57 citations
  21. Spurious Rewards: Rethinking Training Signals in RLVR ↗arXiv:2506.10947 · no summary yetRulin Shao et al.2025 · 53 citations
  22. Resolving Knowledge Conflicts in Large Language ModelsarXiv:2310.00935Yike Wang, Shangbin Feng, Heng Wang, et al.2023 · 48 citations
  23. On the Blind Spots of Model-Based Evaluation Metrics for Text Generation ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetTianxing He et al.2023 · 46 citations
  24. Efficient Test Time Adapter Ensembling for Low-resource Language Varieties ↗Findings of the Association for Computational Linguistics: EMNLP 2021 · no summary yetXinyi Wang et al.2021 · 45 citations
  25. Investigating machine moral judgement through the Delphi experiment ↗Nature Machine Intelligence · no summary yetLiwei Jiang et al.2025 · 44 citations
  26. Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language ModelsarXiv:2305.09955Shangbin Feng, Weijia Shi, Yuyang Bai, et al.2023 · 35 citations
  27. Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too? ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetWeijia Shi et al.2023 · 32 citations
  28. Writer Profiling Without the Writer’s Text ↗Lecture notes in computer science · no summary yetDavid Jurgens, Yulia Tsvetkov, Dan Jurafsky2017 · 31 citations
  29. GlobalBench: A Benchmark for Global Progress in Natural Language Processing ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetYueqi Song et al.2023 · 19 citations
  30. Evaluating the Morphosyntactic Well-formedness of Generated Texts ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetAdithya Pratapa et al.2021 · 12 citations
  31. Simple and Efficient ways to Improve REALM ↗Proceedings of the 3rd Workshop on Machine Reading for Question Answering · no summary yetVidhisha Balachandran et al.2021 · 9 citations
  32. Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems ↗neural information processing systems · no summary yetShangbin Feng et al.2025 · 7 citations
  33. Extracting Lexical Features from Dialects via Interpretable Dialect Classifiers ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers) · no summary yetRoy Xie et al.2024 · 7 citations
  34. Style Transfer Through Multilingual and Feedback-Based Back-Translation ↗arXiv:1809.06284 · no summary yetShrimai Prabhumoye et al.2018 · 4 citations
  35. MoCo: A One-Stop Shop for Model Collaboration Research ↗arXiv (Cornell University) · no summary yetShangbin Feng et al.2026 · 3 citations
  36. Precise Information Control in Long-Form Text Generation ↗neural information processing systems · no summary yetJacqueline He et al.2025 · 3 citations
  37. Verifiable Visual Rewards Transfer from Synthetic Scenes to Natural Prompts ↗arXiv (Cornell University) · no summary yetShuyue Stella Li et al.2026 · 1 citation
  38. Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs ↗Proceedings of the 1st Workshop on Multilingual Representation Learning · no summary yetMonisha Jegadeesan et al.2021 · 1 citation
  39. Scaling Participation in Modular AI Systems ↗arXiv (Cornell University) · no summary yetShangbin Feng et al.2026
  40. IDIOLEX: Unified and Continuous Representations for Idiolectal and Stylistic Variation ↗arXiv (Cornell University) · no summary yetAnjali Kantharuban et al.2026
  41. ExploreNet: Learning Where to Explore in Diffusion GRPO ↗arXiv (Cornell University) · no summary yetShuyue Stella Li et al.2026
  42. HorizonBench: Long-Horizon Personalization with Evolving Preferences ↗arXiv (Cornell University) · no summary yetShuyue Stella Li et al.2026
  43. Generalizable LLM Learning of Graph Synthetic Data with Post-training Alignment ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetYizhuo Zhang et al.2026

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