---
title: "Yulia Tsvetkov — all works — Elamur Research"
description: "All 69 works of Yulia Tsvetkov in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/yulia-tsvetkov/works/"
---
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# Yulia Tsvetkov — all works

69 works · [← Yulia Tsvetkov](https://md.research.elamur.ai/free/en/authors/yulia-tsvetkov/)

1. **[Measuring Bias in Contextualized Word Representations](https://md.research.elamur.ai/free/en/papers/kurita-2019-measuring-bias-contextualized-word-representations/) [Workshop on Gender Bias in Natural Language Processing](https://md.research.elamur.ai/free/en/venues/gebnlp/)**Keita Kurita, Nidhi Vyas, Ayush Pareek, et al.*2019 · 590 citations*
2. **[Style Transfer Through Back-Translation](https://md.research.elamur.ai/free/en/papers/prabhumoye-2018-style-transfer-through-back-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov, et al.*2018 · 558 citations*
3. [**SimVLM: Simple Visual Language Model Pretraining with Weak Supervision arXiv:2108.10904**Zirui Wang, Jiahui Yu, Adams Wei Yu, et al.*2021 · 481 citations*](https://md.research.elamur.ai/free/en/papers/wang-2021-simvlm-simple-visual-language-model/)
4. **[Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics](https://md.research.elamur.ai/free/en/papers/pagnoni-2021-understanding-factuality-abstractive-summarization-frank/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov*2021 · 420 citations*
5. [**Massively Multilingual Word Embeddings arXiv:1602.01925**Waleed Ammar, George Mulcaire, Yulia Tsvetkov, et al.*2016 · 404 citations*](https://md.research.elamur.ai/free/en/papers/ammar-2016-massively-multilingual-word-embeddings/)
6. **[Metaphor Detection with Cross-Lingual Model Transfer](https://md.research.elamur.ai/free/en/papers/tsvetkov-2014-metaphor-detection-cross-lingual-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yulia Tsvetkov, Leonid Boytsov, Anatole Gershman, et al.*2014 · 371 citations*
7. **[Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings](https://md.research.elamur.ai/free/en/papers/manzini-2019-black-is-criminal-as-caucasian/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Thomas Manzini, Lim Yao Chong, Alan W Black, et al.*2019 · 334 citations*
8. **[Problems With Evaluation of Word Embeddings Using Word Similarity Tasks](https://md.research.elamur.ai/free/en/papers/faruqui-2016-problems-evaluation-word-embeddings-word/) [Workshop on Evaluating Vector Space Representations for NLP](https://md.research.elamur.ai/free/en/venues/workshop-on-evaluating-vector-space-representations-for-nlp/)**Manaal Faruqui, Yulia Tsvetkov, Pushpendre Rastogi, et al.*2016 · 334 citations*
9. **[From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models](https://md.research.elamur.ai/free/en/papers/feng-2023-pretraining-data-language-models-downstream/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shangbin Feng, Chan Young Park, Yuhan Liu, et al.*2023 · 311 citations*
10. **[Trusting Your Evidence: Hallucinate Less with Context-aware Decoding](https://md.research.elamur.ai/free/en/papers/shi-2024-trusting-your-evidence-hallucinate-less/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Weijia Shi, Xiaochuang Han, Mike Lewis, et al.*2024 · 249 citations*
11. **[Sparse Overcomplete Word Vector Representations](https://md.research.elamur.ai/free/en/papers/faruqui-2015-sparse-overcomplete-word-vector-representations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Manaal Faruqui, Yulia Tsvetkov, Dani Yogatama, et al.*2015 · 228 citations*
12. **[Evaluation of Word Vector Representations by Subspace Alignment ↗](https://aclanthology.org/D15-1243/) Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yulia Tsvetkov et al.*2015 · 209 citations*
13. **[Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies](https://md.research.elamur.ai/free/en/papers/field-2018-framing-agenda-setting-russian-news/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Anjalie Field, Doron Kliger, Shuly Wintner, et al.*2018 · 195 citations*
14. **[Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts](https://md.research.elamur.ai/free/en/papers/breitfeller-2019-finding-microaggressions-wild-case-locating/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Luke Breitfeller, Emily Ahn, David Jurgens, et al.*2019 · 189 citations*
15. **[Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions](https://md.research.elamur.ai/free/en/papers/han-2020-explaining-black-box-predictions-unveiling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaochuang Han, Byron C. Wallace, Yulia Tsvetkov*2020 · 187 citations*
16. **[Morphological Inflection Generation Using Character Sequence to Sequence Learning ↗](https://aclanthology.org/N16-1077/) Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Manaal Faruqui et al.*2016 · 181 citations*
17. **[Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models](https://md.research.elamur.ai/free/en/papers/ahia-2023-do-all-languages-cost-same/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Orevaoghene Ahia, Sachin Kumar, Hila Gonen, et al.*2023 · 174 citations*
18. **[Not All Contexts Are Created Equal: Better Word Representations with Variable Attention ↗](https://aclanthology.org/D15-1161/) Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yet**Wang Ling et al.*2015 · 166 citations*
19. **[On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment](https://md.research.elamur.ai/free/en/papers/wang-2020-negative-interference-multilingual-models-findings/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zirui Wang, Zachary C. Lipton, Yulia Tsvetkov*2020 · 162 citations*
20. **[Balancing Training for Multilingual Neural Machine Translation ↗](https://aclanthology.org/2020.acl-main.754/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Xinyi Wang, Yulia Tsvetkov, Graham Neubig*2020 · 137 citations*
21. **[A Survey of Race, Racism, and Anti-Racism in NLP ↗](https://aclanthology.org/2021.acl-long.149/) 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 yet**Anjalie Field et al.*2021 · 136 citations*
22. **[Incorporating Dialectal Variability for Socially Equitable Language Identification ↗](https://aclanthology.org/P17-2009/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yet**David Jurgens, Yulia Tsvetkov, Dan Jurafsky*2017 · 127 citations*
23. **[Can Language Models Solve Graph Problems in Natural Language?](https://md.research.elamur.ai/free/en/papers/wang-2023-language-models-solve-graph-problems/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Heng Wang, Shangbin Feng, Tianxing He, et al.*2023 · 124 citations*
24. [**Can Machines Learn Morality? The Delphi Experiment arXiv:2110.07574**Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula, et al.*2021 · 110 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2021-machines-learn-morality-delphi-experiment/)
25. [**Fine-grained Hallucination Detection and Editing for Language Models arXiv:2401.06855**Abhika Mishra, Akari Asai, Vidhisha Balachandran, et al.*2024 · 100 citations*](https://md.research.elamur.ai/free/en/papers/mishra-2024-fine-grained-hallucination-detection-editing/)
26. **[Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning ↗](https://aclanthology.org/P16-1013/) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yulia Tsvetkov et al.*2016 · 97 citations*
27. **[Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning ↗](https://aclanthology.org/N16-1161/) Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Yulia Tsvetkov et al.*2016 · 94 citations*
28. **[Fortifying Toxic Speech Detectors Against Veiled Toxicity ↗](https://aclanthology.org/2020.emnlp-main.622/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Xiaochuang Han, Yulia Tsvetkov*2020 · 91 citations*
29. **[Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey](https://md.research.elamur.ai/free/en/papers/kumar-2023-language-generation-models-can-cause/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, et al.*2023 · 90 citations*
30. **[RtGender: A Corpus for Studying Differential Responses to Gender ↗](https://aclanthology.org/L18-1445/) Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) · no summary yet**Rob Voigt et al.*2018 · 88 citations*
31. [**Do Membership Inference Attacks Work on Large Language Models? arXiv:2402.07841**Michael Duan, Anshuman Suri, Niloofar Mireshghallah, et al.*2024 · 87 citations*](https://md.research.elamur.ai/free/en/papers/duan-2024-membership-inference-attacks-work-large/)
32. **[BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer](https://md.research.elamur.ai/free/en/papers/asai-2024-buffet-benchmarking-large-language-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Akari Asai, Sneha Kudugunta, Xinyan Yu, et al.*2024 · 86 citations*
33. [**Tuning Language Models by Proxy arXiv:2401.08565**Alisa Liu, Xiaochuang Han, Yizhong Wang, et al.*2024 · 79 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-tuning-language-models-proxy/)
34. **[DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection ↗](https://aclanthology.org/2024.findings-acl.155/) Findings of the Association for Computational Linguistics: ACL 2024 · no summary yet**Herun Wan et al.*2024 · 79 citations*
35. **[SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation ↗](https://aclanthology.org/2024.naacl-long.226/) 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 yet**Abe Hou et al.*2024 · 77 citations*
36. **[Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker](https://md.research.elamur.ai/free/en/papers/sclar-2023-minding-language-models-lack-theory/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Melanie Sclar, Sachin Kumar, Peter West, et al.*2023 · 76 citations*
37. **[MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning](https://md.research.elamur.ai/free/en/papers/li-2024-mediq-question-asking-llms-benchmark/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, et al.*2024 · 74 citations*
38. **[Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration](https://md.research.elamur.ai/free/en/papers/feng-2024-modular-pluralism-pluralistic-alignment-multi/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Shangbin Feng, Taylor Sorensen, Yuhan Liu, et al.*2024 · 68 citations*
39. **[Augmenting English Adjective Senses with Supersenses](https://md.research.elamur.ai/free/en/papers/tsvetkov-2014-augmenting-english-adjective-senses-supersenses/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yulia Tsvetkov, Nathan Schneider, Dirk Hovy, et al.*2014 · 57 citations*
40. **[The Art of Saying No: Contextual Noncompliance in Language Models](https://md.research.elamur.ai/free/en/papers/brahman-2024-art-saying-no-contextual-noncompliance/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, et al.*2024 · 56 citations*
41. [**Spurious Rewards: Rethinking Training Signals in RLVR arXiv:2506.10947**Rulin Shao, Shuyue Stella Li, Rui Xin, et al.*2025 · 53 citations*](https://md.research.elamur.ai/free/en/papers/shao-2025-spurious-rewards-rethinking-training-signals/)
42. **[Native Language Cognate Effects on Second Language Lexical Choice](https://md.research.elamur.ai/free/en/papers/rabinovich-2018-native-language-cognate-effects-second/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Ella Rabinovich, Yulia Tsvetkov, Shuly Wintner*2018 · 52 citations*
43. [**Resolving Knowledge Conflicts in Large Language Models arXiv:2310.00935**Yike Wang, Shangbin Feng, Heng Wang, et al.*2023 · 48 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-resolving-knowledge-conflicts-large-language/)
44. **[On the Blind Spots of Model-Based Evaluation Metrics for Text Generation ↗](https://aclanthology.org/2023.acl-long.674/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Tianxing He et al.*2023 · 46 citations*
45. **[Efficient Test Time Adapter Ensembling for Low-resource Language Varieties ↗](https://aclanthology.org/2021.findings-emnlp.63/) Findings of the Association for Computational Linguistics: EMNLP 2021 · no summary yet**Xinyi Wang et al.*2021 · 45 citations*
46. **[Investigating machine moral judgement through the Delphi experiment ↗](https://doi.org/10.1038/s42256-024-00969-6) Nature Machine Intelligence · no summary yet**Liwei Jiang et al.*2025 · 44 citations*
47. **[CulturalBench: A Robust, Diverse and Challenging Benchmark for Measuring LMs' Cultural Knowledge Through Human-AI Red-Teaming](https://md.research.elamur.ai/free/en/papers/chiu-2025-culturalbench-robust-diverse-challenging-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu Ying Chiu, Liwei Jiang, Bill Yuchen Lin, et al.*2025 · 38 citations*
48. [**Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models arXiv:2305.09955**Shangbin Feng, Weijia Shi, Yuyang Bai, et al.*2023 · 35 citations*](https://md.research.elamur.ai/free/en/papers/feng-2023-knowledge-card-filling-llms-knowledge/)
49. **[Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too? ↗](https://aclanthology.org/2023.findings-emnlp.733/) Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yet**Weijia Shi et al.*2023 · 32 citations*
50. **[Writer Profiling Without the Writer’s Text ↗](https://doi.org/10.1007/978-3-319-67256-4_43) Lecture notes in computer science · no summary yet**David Jurgens, Yulia Tsvetkov, Dan Jurafsky*2017 · 31 citations*
51. **[Cross-Cultural Similarity Features for Cross-Lingual Transfer Learning of Pragmatically Motivated Tasks](https://md.research.elamur.ai/free/en/papers/sun-2021-cross-cultural-similarity-features-cross/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Jimin Sun, Hwijeen Ahn, Chan Young Park, et al.*2021 · 28 citations*
52. **[Biased LLMs can Influence Political Decision-Making](https://md.research.elamur.ai/free/en/papers/fisher-2025-biased-llms-can-influence-political/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jillian Fisher, Shangbin Feng, Robert Aron, et al.*2025 · 20 citations*
53. **[MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization](https://md.research.elamur.ai/free/en/papers/ahia-2024-magnet-improving-multilingual-fairness-language/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Orevaoghene Ahia, Sachin Kumar, Hila Gonen, et al.*2024 · 19 citations*
54. **[GlobalBench: A Benchmark for Global Progress in Natural Language Processing ↗](https://aclanthology.org/2023.emnlp-main.875/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yueqi Song et al.*2023 · 19 citations*
55. **[Evaluating the Morphosyntactic Well-formedness of Generated Texts ↗](https://aclanthology.org/2021.emnlp-main.570/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Adithya Pratapa et al.*2021 · 12 citations*
56. **[Simple and Efficient ways to Improve REALM ↗](https://aclanthology.org/2021.mrqa-1.16/) Proceedings of the 3rd Workshop on Machine Reading for Question Answering · no summary yet**Vidhisha Balachandran et al.*2021 · 9 citations*
57. **[Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems ↗](https://doi.org/10.52202/085713-3813) neural information processing systems · no summary yet**Shangbin Feng et al.*2025 · 7 citations*
58. **[Extracting Lexical Features from Dialects via Interpretable Dialect Classifiers ↗](https://aclanthology.org/2024.naacl-short.5/) 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 yet**Roy Xie et al.*2024 · 7 citations*
59. **[Style Transfer Through Multilingual and Feedback-Based Back-Translation ↗](https://arxiv.org/abs/1809.06284) arXiv:1809.06284 · no summary yet**Shrimai Prabhumoye et al.*2018 · 4 citations*
60. **[MoCo: A One-Stop Shop for Model Collaboration Research ↗](https://arxiv.org/abs/2601.21257) arXiv (Cornell University) · no summary yet**Shangbin Feng et al.*2026 · 3 citations*
61. **[Precise Information Control in Long-Form Text Generation ↗](https://doi.org/10.52202/085713-3103) neural information processing systems · no summary yet**Jacqueline He et al.*2025 · 3 citations*
62. **[Among Us: Measuring and Mitigating Malicious Contributions in Model Collaboration Systems](https://md.research.elamur.ai/free/en/papers/yang-2026-among-us-measuring-mitigating-malicious/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziyuan Yang, Wenxuan Ding, Shangbin Feng, et al.*2026 · 1 citation*
63. **[Verifiable Visual Rewards Transfer from Synthetic Scenes to Natural Prompts ↗](https://arxiv.org/abs/2609.35641) arXiv (Cornell University) · no summary yet**Shuyue Stella Li et al.*2026 · 1 citation*
64. **[Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs ↗](https://aclanthology.org/2021.mrl-1.15/) Proceedings of the 1st Workshop on Multilingual Representation Learning · no summary yet**Monisha Jegadeesan et al.*2021 · 1 citation*
65. **[Generalizable LLM Learning of Graph Synthetic Data with Post-training Alignment](https://md.research.elamur.ai/free/en/papers/zhang-2026-generalizable-llm-learning-graph-synthetic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yizhuo Zhang, Heng Wang, Shangbin Feng, et al.*2026*
66. **[Scaling Participation in Modular AI Systems ↗](https://arxiv.org/abs/2606.07812) arXiv (Cornell University) · no summary yet**Shangbin Feng et al.*2026*
67. **[IDIOLEX: Unified and Continuous Representations for Idiolectal and Stylistic Variation ↗](https://arxiv.org/abs/2604.04704) arXiv (Cornell University) · no summary yet**Anjali Kantharuban et al.*2026*
68. **[ExploreNet: Learning Where to Explore in Diffusion GRPO ↗](https://arxiv.org/abs/2609.38329) arXiv (Cornell University) · no summary yet**Shuyue Stella Li et al.*2026*
69. **[HorizonBench: Long-Horizon Personalization with Evolving Preferences ↗](https://arxiv.org/abs/2604.17283) arXiv (Cornell University) · no summary yet**Shuyue Stella Li et al.*2026*