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Stoyanov, Veselin

  1. RoBERTa: A Robustly Optimized BERT Pretraining Approach
    2019/07/26 by Liu, Yinhan, Ott, Myle, Goyal, Naman +7 · 1093 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  2. Unsupervised Cross-lingual Representation Learning at Scale
    2019/11/05 by Conneau, Alexis, Khandelwal, Kartikay, Goyal, Naman +7 · 391 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  3. XNLI: Evaluating Cross-lingual Sentence Representations
    2018/09/13 by Alexis Conneau, Guillaume Lample, Conneau, Alexis +11 · 113 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  4. Few-shot Learning with Multilingual Language Models
    2021/12/20 by Xi Victoria Lin, Todor Mihaylov, Lin, Xi Victoria +39 · 20 citations
    Computer Science · #Topic Modeling #Hate Speech and Cyberbullying Detection #Natural Language Processing Techniques
  5. Emerging Cross-lingual Structure in Pretrained Language Models
    2019/11/04 by Shijie Wu, Alexis Conneau, Wu, Shijie +7 · 11 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
  6. Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model
    2019/12/19 by Wenhan Xiong, Jingfei Du, Xiong, Wenhan +5 · 11 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  7. Improving In-Context Few-Shot Learning via Self-Supervised Training
    2022/05/03 by Mingda Chen, Chen, Mingda, Jingfei Du +11 · 6 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Topic Modeling #Multimodal Machine Learning Applications
  8. Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs
    2021/11/26 by Peter Hase, Mona Diab, Hase, Peter +13 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
  9. Towards A Unified View of Sparse Feed-Forward Network in Pretraining Large Language Model
    2023/05/23 by Tim Dettmers, Liu, Zeyu Leo, Dettmers, Tim +6 · 4 citations
    Computer Science · Engineering · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Speech Recognition and Synthesis #Topic Modeling
  10. PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models
    2022/04/03 by Rabeeh Karimi Mahabadi, Luke Zettlemoyer, Mahabadi, Rabeeh Karimi +11 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Topic Modeling
  11. Multi-task Retrieval for Knowledge-Intensive Tasks
    2021/01/01 by Maillard, Jean, Karpukhin, Vladimir, Petroni, Fabio +4 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  12. Evaluate Bias without Manual Test Sets: A Concept Representation Perspective for LLMs
    2025/05/21 by Lang Gao, Gao, Lang, Kaiyang Wan +15 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Educational Technology and Assessment #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Online Learning and Analytics