---
title: "Veselin Stoyanov — all works — Elamur Research"
description: "All 29 works of Veselin Stoyanov 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/veselin-stoyanov/works/"
---
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# Veselin Stoyanov — all works

29 works · [← Veselin Stoyanov](https://md.research.elamur.ai/free/en/authors/veselin-stoyanov/)

1. **[BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension](https://md.research.elamur.ai/free/en/papers/lewis-2020-bart-denoising-sequence-sequence-pre/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mike Lewis, Yinhan Liu, Naman Goyal, et al.*2020 · 12,856 citations*
2. [**RoBERTa: A Robustly Optimized BERT Pretraining Approach arXiv:1907.11692**Yinhan Liu, Myle Ott, Naman Goyal, et al.*2019 · 9,837 citations*](https://md.research.elamur.ai/free/en/papers/liu-2019-roberta-robustly-optimized-bert-pretraining/)
3. **[Unsupervised Cross-lingual Representation Learning at Scale](https://md.research.elamur.ai/free/en/papers/conneau-2020-unsupervised-cross-lingual-representation-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Alexis Conneau, Kartikay Khandelwal, Naman Goyal, et al.*2020 · 9,468 citations*
4. **[XNLI: Evaluating Cross-lingual Sentence Representations ↗](https://aclanthology.org/D18-1269/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Alexis Conneau et al.*2018 · 1,885 citations*
5. **[SemEval-2016 Task 4: Sentiment Analysis in Twitter](https://md.research.elamur.ai/free/en/papers/nakov-2016-semeval-2016-task-4-sentiment/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Preslav Nakov, Alan Ritter, Sara Rosenthal, et al.*2016 · 1,083 citations*
6. **[SemEval-2014 Task 9: Sentiment Analysis in Twitter](https://md.research.elamur.ai/free/en/papers/rosenthal-2014-semeval-2014-task-9-sentiment/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Sara Rosenthal, Alan Ritter, Preslav Nakov, et al.*2014 · 741 citations*
7. **[SemEval-2015 Task 10: Sentiment Analysis in Twitter](https://md.research.elamur.ai/free/en/papers/rosenthal-2015-semeval-2015-task-10-sentiment/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Sara Rosenthal, Preslav Nakov, Svetlana Kiritchenko, et al.*2015 · 492 citations*
8. **[Emerging Cross-lingual Structure in Pretrained Language Models](https://md.research.elamur.ai/free/en/papers/conneau-2020-emerging-cross-lingual-structure-pretrained/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Alexis Conneau, Shijie Wu, Haoran Li, et al.*2020 · 382 citations*
9. **[Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art](https://md.research.elamur.ai/free/en/papers/lewis-2020-pretrained-language-models-biomedical-clinical/) [Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC](https://md.research.elamur.ai/free/en/venues/clinicalnlp/)**Patrick Lewis, Myle Ott, Jingfei Du, et al.*2020 · 241 citations*
10. **[SemEval-2013 Task 2: Sentiment Analysis in Twitter](https://md.research.elamur.ai/free/en/papers/nakov-2013-semeval-2013-task-2-sentiment/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Preslav Nakov, Sara Rosenthal, Zornitsa Kozareva, et al.*2013 · 201 citations*
11. [**Conundrums in Noun Phrase Coreference Resolution: Making Sense of the State-of-the-Art**Veselin Stoyanov, Nathan Gilbert, Claire Cardie, et al.*English · 199 citations*](https://md.research.elamur.ai/free/en/papers/stoyanov-2009-conundrums-noun-phrase-coreference-resolution/)
12. **[Self-training Improves Pre-training for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/du-2021-self-training-improves-pre-training/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jingfei Du, Edouard Grave, Beliz Gunel, et al.*2021 · 172 citations*
13. **[A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling ↗](https://aclanthology.org/P18-1074/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Ying Lin et al.*2018 · 141 citations*
14. **[Few-shot Learning with Multilingual Generative Language Models ↗](https://aclanthology.org/2022.emnlp-main.616/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Xi Victoria Lin et al.*2022 · 133 citations*
15. [**Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model arXiv:1912.09637**Wenhan Xiong, Jingfei Du, William Yang Wang, et al.*2019 · 117 citations*](https://md.research.elamur.ai/free/en/papers/xiong-2019-pretrained-encyclopedia-weakly-supervised-knowledge/)
16. **[Coreference Resolution with Reconcile](https://md.research.elamur.ai/free/en/papers/stoyanov-2010-coreference-resolution-reconcile/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Veselin Stoyanov, Claire Cardie, Nathan Gilbert, et al.*2010 · 114 citations*
17. **[Complementary Explanations for Effective In-Context Learning](https://md.research.elamur.ai/free/en/papers/ye-2023-complementary-explanations-effective-context-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, et al.*2023 · 106 citations*
18. **[Simple Fusion: Return of the Language Model ↗](https://aclanthology.org/W18-6321/) Proceedings of the Third Conference on Machine Translation: Research Papers · no summary yet**Felix Stahlberg, James Cross, Veselin Stoyanov*2018 · 92 citations*
19. **[Partially Supervised Coreference Resolution for Opinion Summarization through Structured Rule Learning](https://md.research.elamur.ai/free/en/papers/stoyanov-2006-partially-supervised-coreference-resolution-opinion/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Veselin Stoyanov, Claire Cardie*2006 · 90 citations*
20. **[Prompt-free and Efficient Few-shot Learning with Language Models ↗](https://aclanthology.org/2022.acl-long.254/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Rabeeh Karimi Mahabadi et al.*2022 · 68 citations*
21. **[Training Trajectories of Language Models Across Scales ↗](https://aclanthology.org/2023.acl-long.767/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Mengzhou Xia et al.*2023 · 60 citations*
22. **[Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs ↗](https://arxiv.org/abs/2111.13654) arXiv:2111.13654 · no summary yet**Peter Hase et al.*2021 · 60 citations*
23. **[Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models](https://md.research.elamur.ai/free/en/papers/hase-2023-methods-measuring-updating-visualizing-factual/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Peter Hase, Mona Diab, Asli Celikyilmaz, et al.*2023 · 51 citations*
24. **[Easy-first Coreference Resolution](https://md.research.elamur.ai/free/en/papers/stoyanov-2012-easy-first-coreference-resolution/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Veselin Stoyanov, Jason Eisner*2012 · 26 citations*
25. **[Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models ↗](https://aclanthology.org/2022.emnlp-main.780/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Mengzhou Xia et al.*2022 · 21 citations*
26. **[On the Role of Bidirectionality in Language Model Pre-Training ↗](https://aclanthology.org/2022.findings-emnlp.293/) Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yet**Mikel Artetxe et al.*2022 · 17 citations*
27. **[PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models ↗](https://arxiv.org/abs/2204.01172) arXiv (Cornell University) · no summary yet**Rabeeh Karimi Mahabadi et al.*2022 · 14 citations*
28. **[Continual Few-Shot Learning for Text Classification ↗](https://aclanthology.org/2021.emnlp-main.460/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Ramakanth Pasunuru, Veselin Stoyanov, Mohit Bansal*2021 · 14 citations*
29. **[SAHM: A Benchmark for Arabic Financial and Shari'ah-Compliant Reasoning](https://md.research.elamur.ai/free/en/papers/elbadry-2026-sahm-benchmark-arabic-financial-shari/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rania Elbadry, Sarfraz Ahmad, Ahmed Heakl, et al.*2026 · 4 citations*