Veselin Stoyanov

According to our database, Veselin Stoyanov authored at least 63 papers between 2001 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Towards A Unified View of Sparse Feed-Forward Network in Pretraining Large Language Model.

Leo Z. Liu, Tim Dettmers, Xi Victoria Lin, Veselin Stoyanov, Xian Li

CoRR, 2023

LEVER: Learning to Verify Language-to-Code Generation with Execution.

Ansong Ni, Srini Iyer, Dragomir Radev, Veselin Stoyanov, Wen-Tau Yih, Sida I. Wang, Xi Victoria Lin

Proceedings of the International Conference on Machine Learning, 2023

Towards A Unified View of Sparse Feed-Forward Network in Pretraining Large Language Model.

Zeyu Liu, Tim Dettmers, Xi Lin, Veselin Stoyanov, Xian Li

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models.

Peter Hase, Mona T. Diab, Asli Celikyilmaz, Xian Li, Zornitsa Kozareva, Veselin Stoyanov, Mohit Bansal, Srinivasan Iyer

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Complementary Explanations for Effective In-Context Learning.

Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Veselin Stoyanov, Greg Durrett, Ramakanth Pasunuru

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Training Trajectories of Language Models Across Scales.

Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Veselin Stoyanov

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark.

Momchil Hardalov, Pepa Atanasova, Todor Mihaylov, Galia Angelova, Kiril Simov, Petya Osenova, Veselin Stoyanov, Ivan Koychev, Preslav Nakov, Dragomir Radev

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization.

Srinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, Todor Mihaylov, Daniel Simig, Ping Yu, Kurt Shuster, Tianlu Wang, Qing Liu, Punit Singh Koura, Xian Li, Brian O'Horo, Gabriel Pereyra, Jeff Wang, Christopher Dewan, Asli Celikyilmaz, Luke Zettlemoyer, Ves Stoyanov

CoRR, 2022

PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models.

Rabeeh Karimi Mahabadi, Luke Zettlemoyer, James Henderson, Marzieh Saeidi, Lambert Mathias, Veselin Stoyanov, Majid Yazdani

CoRR, 2022

Efficient Language Modeling with Sparse all-MLP.

Ping Yu, Mikel Artetxe, Myle Ott, Sam Shleifer, Hongyu Gong, Ves Stoyanov, Xian Li

CoRR, 2022

Preserving integrity in online social networks.

Alon Y. Halevy, Cristian Canton-Ferrer, Hao Ma, Umut Ozertem, Patrick Pantel, Marzieh Saeidi, Fabrizio Silvestri, Ves Stoyanov

Commun. ACM, 2022

Improving In-Context Few-Shot Learning via Self-Supervised Training.

Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models.

Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, Veselin Stoyanov

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Few-shot Learning with Multilingual Generative Language Models.

Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

On the Role of Bidirectionality in Language Model Pre-Training.

Mikel Artetxe, Jingfei Du, Naman Goyal, Luke Zettlemoyer, Veselin Stoyanov

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Efficient Large Scale Language Modeling with Mixtures of Experts.

Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giridharan Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeffrey Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Veselin Stoyanov

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection.

Badr AlKhamissi, Faisal Ladhak, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva, Xian Li, Pascale Fung, Lambert Mathias, Asli Celikyilmaz, Mona T. Diab

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Prompt-free and Efficient Few-shot Learning with Language Models.

Rabeeh Karimi Mahabadi, Luke Zettlemoyer, James Henderson, Lambert Mathias, Marzieh Saeidi, Veselin Stoyanov, Majid Yazdani

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Efficient Large Scale Language Modeling with Mixtures of Experts.

Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giri Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Ves Stoyanov

CoRR, 2021

Few-shot Learning with Multilingual Language Models.

Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li

CoRR, 2021

Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs.

Peter Hase, Mona T. Diab, Asli Celikyilmaz, Xian Li, Zornitsa Kozareva, Veselin Stoyanov, Mohit Bansal, Srinivasan Iyer

CoRR, 2021

Self-training Improves Pre-training for Natural Language Understanding.

Jingfei Du, Edouard Grave, Beliz Gunel, Vishrav Chaudhary, Onur Celebi, Michael Auli, Veselin Stoyanov, Alexis Conneau

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning.

Beliz Gunel, Jingfei Du, Alexis Conneau, Veselin Stoyanov

Proceedings of the 9th International Conference on Learning Representations, 2021

Continual Few-Shot Learning for Text Classification.

Ramakanth Pasunuru, Veselin Stoyanov, Mohit Bansal

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Multi-Task Retrieval for Knowledge-Intensive Tasks.

Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oguz, Veselin Stoyanov, Gargi Ghosh

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Conversational Semantic Parsing.

Armen Aghajanyan, Jean Maillard, Akshat Shrivastava, Keith Diedrick, Mike Haeger, Haoran Li, Yashar Mehdad, Ves Stoyanov, Anuj Kumar, Mike Lewis, Sonal Gupta

CoRR, 2020

Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model.

Wenhan Xiong, Jingfei Du, William Yang Wang, Veselin Stoyanov

Proceedings of the 8th International Conference on Learning Representations, 2020

General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference.

Jingfei Du, Myle Ott, Haoran Li, Xing Zhou, Veselin Stoyanov

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Conversational Semantic Parsing.

Armen Aghajanyan, Jean Maillard, Akshat Shrivastava, Keith Diedrick, Michael Haeger, Haoran Li, Yashar Mehdad, Veselin Stoyanov, Anuj Kumar, Mike Lewis, Sonal Gupta

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, Luke Zettlemoyer

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Emerging Cross-lingual Structure in Pretrained Language Models.

Alexis Conneau, Shijie Wu, Haoran Li, Luke Zettlemoyer, Veselin Stoyanov

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Unsupervised Cross-lingual Representation Learning at Scale.

Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art.

Patrick S. H. Lewis, Myle Ott, Jingfei Du, Veselin Stoyanov

Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020

2019

Bridging the domain gap in cross-lingual document classification.

Guokun Lai, Barlas Oguz, Yiming Yang, Veselin Stoyanov

CoRR, 2019

RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, Veselin Stoyanov

CoRR, 2019

Knowledge-Augmented Language Model and Its Application to Unsupervised Named-Entity Recognition.

Angli Liu, Jingfei Du, Veselin Stoyanov

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Simple Fusion: Return of the Language Model.

Felix Stahlberg, James Cross, Veselin Stoyanov

Proceedings of the Third Conference on Machine Translation: Research Papers, 2018

XNLI: Evaluating Cross-lingual Sentence Representations.

Alexis Conneau, Ruty Rinott, Guillaume Lample, Adina Williams, Samuel R. Bowman, Holger Schwenk, Veselin Stoyanov

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling.

Ying Lin, Shengqi Yang, Veselin Stoyanov, Heng Ji

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2016

Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts.

Preslav Nakov, Sara Rosenthal, Svetlana Kiritchenko, Saif M. Mohammad, Zornitsa Kozareva, Alan Ritter, Veselin Stoyanov, Xiaodan Zhu

Lang. Resour. Evaluation, 2016

SemEval-2016 Task 4: Sentiment Analysis in Twitter.

Preslav Nakov, Alan Ritter, Sara Rosenthal, Fabrizio Sebastiani, Veselin Stoyanov

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

2015

SemEval-2015 Task 10: Sentiment Analysis in Twitter.

Sara Rosenthal, Preslav Nakov, Svetlana Kiritchenko, Saif M. Mohammad, Alan Ritter, Veselin Stoyanov

Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

2014

SemEval-2014 Task 9: Sentiment Analysis in Twitter.

Sara Rosenthal, Alan Ritter, Preslav Nakov, Veselin Stoyanov

Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

2013

SemEval-2013 Task 2: Sentiment Analysis in Twitter.

Preslav Nakov, Sara Rosenthal, Zornitsa Kozareva, Veselin Stoyanov, Alan Ritter, Theresa Wilson

Proceedings of the 7th International Workshop on Semantic Evaluation, 2013

2012

HLTCOE Participation at TAC 2012: Entity Linking and Cold Start Knowledge Base Construction.

Paul McNamee, Veselin Stoyanov, James Mayfield, Tim Finin, Tim Oates, Tan Xu, Douglas W. Oard, Dawn J. Lawrie

Proceedings of the Fifth Text Analysis Conference, 2012

A Context-Aware Approach to Entity Linking.

Veselin Stoyanov, James Mayfield, Tan Xu, Douglas W. Oard, Dawn J. Lawrie, Tim Oates, Tim Finin

Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012

Minimum-Risk Training of Approximate CRF-Based NLP Systems.

Veselin Stoyanov, Jason Eisner

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Easy-first Coreference Resolution.

Veselin Stoyanov, Jason Eisner

Proceedings of the COLING 2012, 2012

2011

Empirical Risk Minimization of Graphical Model Parameters Given Approximate Inference, Decoding, and Model Structure.

Veselin Stoyanov, Alexander Ropson, Jason Eisner

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Cross-Language Entity Linking in Maryland during a Hurricane.

Paul McNamee, James Mayfield, Veselin Stoyanov, Douglas W. Oard, Tan Xu, Wu Ke, David S. Doermann

Proceedings of the Fourth Text Analysis Conference, 2011

Automatically Creating General-Purpose Opinion Summaries from Text.

Veselin Stoyanov, Claire Cardie

Proceedings of the Recent Advances in Natural Language Processing, 2011

Reconciling OntoNotes: Unrestricted Coreference Resolution in OntoNotes with Reconcile.

Veselin Stoyanov, Uday Babbar, Pracheer Gupta, Claire Cardie

Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task, 2011

2010

Coreference Resolution with Reconcile.

Veselin Stoyanov, Claire Cardie, Nathan Gilbert, Ellen Riloff, David Buttler, David Hysom

Proceedings of the ACL 2010, 2010

2009

Opinion Summarization: Automatically Creating Useful Representations of the Opinions Expressed in Text.

Veselin Stoyanov

PhD thesis, 2009

Conundrums in Noun Phrase Coreference Resolution: Making Sense of the State-of-the-Art.

Veselin Stoyanov, Nathan Gilbert, Claire Cardie, Ellen Riloff

Proceedings of the ACL 2009, 2009

2008

Annotating Topics of Opinions.

Veselin Stoyanov, Claire Cardie

Proceedings of the International Conference on Language Resources and Evaluation, 2008

Topic Identification for Fine-Grained Opinion Analysis.

Veselin Stoyanov, Claire Cardie

Proceedings of the COLING 2008, 2008

2007

Cornell System Description for the NTCIR-6 Opinion Task.

Eric Breck, Yejin Choi, Veselin Stoyanov, Claire Cardie

Proceedings of the 6th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, 2007

QA with Attitude: Exploiting Opinion Type Analysis for Improving Question Answering in On-line Discussions and the News.

Swapna Somasundaran, Theresa Wilson, Janyce Wiebe, Veselin Stoyanov

Proceedings of the First International Conference on Weblogs and Social Media, 2007

2006

Partially Supervised Coreference Resolution for Opinion Summarization through Structured Rule Learning.

Veselin Stoyanov, Claire Cardie

Proceedings of the EMNLP 2006, 2006

Evaluating an Opinion Annotation Scheme Using a New Multi-Perspective Question and Answer Corpus.

Veselin Stoyanov, Claire Cardie, Diane J. Litman, Janyce Wiebe

Proceedings of the Computing Attitude and Affect in Text: Theory and Applications, 2006

2005

Multi-Perspective Question Answering Using the OpQA Corpus.

Veselin Stoyanov, Claire Cardie, Janyce Wiebe

Proceedings of the HLT/EMNLP 2005, 2005

2001

Using Path-spectra-based Cloning in Region-based Optimization for Instruction-Level Parallelism.

Tom Way, Ben Breech, Wei Du, Veselin Stoyanov, Lori L. Pollock

Proceedings of the ISCA 14th International Conference on Parallel and Distributed Computing Systems, 2001