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Chirkova, Nadezhda

  1. BERGEN: A Benchmarking Library for Retrieval-Augmented Generation
    2024/07/01 by Rau, David, Déjean, Hervé, Chirkova, Nadezhda +4 · 8 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR)
  2. Retrieval-augmented generation in multilingual settings
    2024/07/01 by Nadezhda Chirkova, David Rau, Chirkova, Nadezhda +9 · 6 citations
    Computer Science · #Speech and dialogue systems
  3. Should you marginalize over possible tokenizations?
    2023/06/30 by Chirkova, Nadezhda, Kruszewski, Germán, Rozen, Jos +1 · 4 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  4. Probing Pretrained Models of Source Code
    2022/02/16 by Troshin, Sergey, Chirkova, Nadezhda · 3 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering (cs.SE)
  5. On Power Laws in Deep Ensembles
    2020/07/16 by Lobacheva, Ekaterina, Chirkova, Nadezhda, Kodryan, Maxim +1 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  6. Zero-shot cross-lingual transfer in instruction tuning of large language models
    2024/02/22 by Nadezhda Chirkova, Chirkova, Nadezhda, Vassilina Nikoulina +1 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
  7. CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code
    2023/08/01 by Nadezhda Chirkova, Chirkova, Nadezhda, Sergey Troshin +1 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Software Engineering (cs.SE) #Software Engineering Research #Topic Modeling
  8. Provence: efficient and robust context pruning for retrieval-augmented generation
    2025/01/27 by Nadezhda Chirkova, Chirkova, Nadezhda, Thibault Formal +5 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #Data Management and Algorithms #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Natural Language Processing Techniques #Web Data Mining and Analysis
  9. On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay
    2021/06/29 by Lobacheva, Ekaterina, Kodryan, Maxim, Chirkova, Nadezhda +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. Key ingredients for effective zero-shot cross-lingual knowledge transfer in generative tasks
    2024/02/19 by Nadezhda Chirkova, Chirkova, Nadezhda, Vassilina Nikoulina +1 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning
  11. Adapting Large Language Models for Multi-Domain Retrieval-Augmented-Generation
    2025/04/03 by Alexandre Misrahi, Nadezhda Chirkova, Misrahi, Alexandre +5 · 2 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques