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Veselin Stoyanov

Johns Hopkins University
Cornell University

60

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

2022 | The Annual Conference of the North American Chapter of the Association for Computational Linguistics
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Prompt-free and Efficient Few-shot Learning with Language Models.

2022 | ACL (1)
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Improving In-Context Few-Shot Learning via Self-Supervised Training.

2022 CoRR
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Continual Few-Shot Learning for Text Classification

2021 EMNLP | Empirical Methods in Natural Language Processing
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Multi-Task Retrieval for Knowledge-Intensive Tasks

2021 ACL | Meeting of the Association for Computational Linguistics
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Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs

2021 arXiv: Computation and Language
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Self-training Improves Pre-training for Natural Language Understanding

2021 | The Annual Conference of the North American Chapter of the Association for Computational Linguistics
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Unsupervised Cross-lingual Representation Learning at Scale

2020 | Annual Meeting of the Association for Computational Linguistics
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SemEval-2013 Task 2: Sentiment Analysis in Twitter

2019 arXiv: Computation and Language
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SemEval-2014 Task 9: Sentiment Analysis in Twitter

2019 arXiv: Computation and Language
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