Veselin Stoyanov — all works
- BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL)Mike Lewis, Yinhan Liu, Naman Goyal, et al.2020 · 12,856 citations
- RoBERTa: A Robustly Optimized BERT Pretraining ApproacharXiv:1907.11692Yinhan Liu, Myle Ott, Naman Goyal, et al.2019 · 9,837 citations
- Unsupervised Cross-lingual Representation Learning at Scale ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetAlexis Conneau et al.2020 · 9,468 citations
- XNLI: Evaluating Cross-lingual Sentence Representations ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetAlexis Conneau et al.2018 · 1,885 citations
- SemEval-2016 Task 4: Sentiment Analysis in TwitterInternational Workshop on Semantic Evaluation (SemEval)Preslav Nakov, Alan Ritter, Sara Rosenthal, et al.2016 · 1,083 citations
- SemEval-2014 Task 9: Sentiment Analysis in TwitterInternational Workshop on Semantic Evaluation (SemEval)Sara Rosenthal, Alan Ritter, Preslav Nakov, et al.2014 · 741 citations
- SemEval-2015 Task 10: Sentiment Analysis in TwitterInternational Workshop on Semantic Evaluation (SemEval)Sara Rosenthal, Preslav Nakov, Svetlana Kiritchenko, et al.2015 · 492 citations
- Emerging Cross-lingual Structure in Pretrained Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Alexis Conneau, Shijie Wu, Haoran Li, et al.2020 · 382 citations
- Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-ArtWorkshop on Clinical Natural Language Processing (Clinical NLP) @ LRECPatrick Lewis, Myle Ott, Jingfei Du, et al.2020 · 241 citations
- SemEval-2013 Task 2: Sentiment Analysis in TwitterJoint Conference on Lexical and Computational Semantics (*SEM)Preslav Nakov, Sara Rosenthal, Zornitsa Kozareva, et al.2013 · 201 citations
- Conundrums in Noun Phrase Coreference Resolution: Making Sense of the State-of-the-ArtVeselin Stoyanov, Nathan Gilbert, Claire Cardie, et al.English · 199 citations
- Self-training Improves Pre-training for Natural Language UnderstandingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jingfei Du, Edouard Grave, Beliz Gunel, et al.2021 · 172 citations
- A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYing Lin et al.2018 · 141 citations
- Few-shot Learning with Multilingual Generative Language Models ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetXi Victoria Lin et al.2022 · 133 citations
- Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model ↗arXiv:1912.09637 · no summary yetWenhan Xiong et al.2019 · 117 citations
- Coreference Resolution with ReconcileAnnual Meeting of the Association for Computational Linguistics (ACL)Veselin Stoyanov, Claire Cardie, Nathan Gilbert, et al.2010 · 114 citations
- Efficient Large Scale Language Modeling with Mixtures of Experts ↗arXiv:2112.10684 · no summary yetMikel Artetxe et al.2021 · 113 citations
- Complementary Explanations for Effective In-Context LearningFindings of the Association for Computational LinguisticsXi Ye, Srinivasan Iyer, Asli Celikyilmaz, et al.2023 · 106 citations
- Simple Fusion: Return of the Language Model ↗Proceedings of the Third Conference on Machine Translation: Research Papers · no summary yetFelix Stahlberg, James Cross, Veselin Stoyanov2018 · 92 citations
- Partially Supervised Coreference Resolution for Opinion Summarization through Structured Rule LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Veselin Stoyanov, Claire Cardie2006 · 90 citations
- Prompt-free and Efficient Few-shot Learning with Language Models ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetRabeeh Karimi Mahabadi et al.2022 · 68 citations
- Training Trajectories of Language Models Across Scales ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetMengzhou Xia et al.2023 · 60 citations
- Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs ↗arXiv:2111.13654 · no summary yetPeter Hase et al.2021 · 60 citations
- Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Peter Hase, Mona Diab, Asli Celikyilmaz, et al.2023 · 51 citations
- Easy-first Coreference ResolutionInternational Conference on Computational Linguistics (COLING)Veselin Stoyanov, Jason Eisner2012 · 26 citations
- Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetMengzhou Xia et al.2022 · 21 citations
- On the Role of Bidirectionality in Language Model Pre-Training ↗Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yetMikel Artetxe et al.2022 · 17 citations
- PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models ↗arXiv (Cornell University) · no summary yetRabeeh Karimi Mahabadi et al.2022 · 14 citations
- Continual Few-Shot Learning for Text Classification ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetRamakanth Pasunuru, Veselin Stoyanov, Mohit Bansal2021 · 14 citations
- SAHM: A Benchmark for Arabic Financial and Shari'ah-Compliant ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Rania Elbadry, Sarfraz Ahmad, Ahmed Heakl, et al.2026 · 4 citations
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