About me
  I am a natural language processing researcher at Naver Labs Europe in Grenoble, France, 
    focusing on making recent NLP advances applicable across domains and languages. Together with colleagues, I am co-teaching an NLP course at CentraleSupelec  
    and co-organizing an ALPS winter school.
    
    
    Before joining NLE, I did my PhD on deep learning for source code processing at the
    Centre of Deep Learning and Bayesian Methods of the 
      HSE University, 
    where I was advised by Prof. Dmitry Vetrov,
    the head of our Bayesian Methods Research Group. 
    I received my Bachelor's and Master's degrees at  Moscow State University.
  At HSE, I also taught machine learning to Bachelor and Master students for 6 years
    and was selected by students for the Best Teacher award 3 times.
  During 2017-2019, I've been one of the main organizers of the 
  Summer School on Deep Learning and Bayesian Methods.  
  
   News
  
    -  Sep 2025 »  This year, I serve as an Area Chair for the ACL rolling review 
      and as a Publicity and Social Media Chair for EACL 2026
      
 
    -  Jan 2025 »  I will present    
      Provence (Pruning and Reranking Of retrieVEd relevaNt ContExts) at
       ICLR 2025! The approach is also described in this blogpost 
      
 
    -  Oct 2024 »  Our    
      work  on Bergen, a benchmarking library for RAG, 
      has been accepted to EMNLP 2024 Findings! 
      I also presented its multilingual extension and our  study on multilingual RAG at the
      Knowledgeable LLMs workshop in Bangkok, Thailand!
    
 
    -  Sep 2024 » I presented our    
      study on cross-lingual transfer in generative tasks at NAACL 2024 in Mexico City, 
      and its  follow-up on cross-lingual transfer in instruction tuning of LLMs at 
      INLG 2024 in Tokyo, Japan!
    
 
    -  Jun 2024 »  I joined an organization committee of the 
      ALPS winter school (Advanced Language Processing School), 
      which will take place in April 2025 in French Alps! 
    
 
    -  Jul 2023 » I presented our 
      work on ambiguity in tokenization at ACL 2023 in Toronto, Canada
    
 
    -  May 2023 » I presented our 
      CodeBPE paper at ICLR 2023 in  Kigali, Rwanda
    
 
    -  Oct 2022 » I gave a talk about our results in DL4Code at
     JetBrains research semianr (online)!
    
 
    -  Oct 2022 » I defended my PhD in Computer Science!
      
     (link to the thesis)  
    
 
    -  Jun 2022 » I joined
      
       Naver Labs Europe in Grenoble, France
     as an NLP researcher!
    
 
    -  Apr 2022 » We presented our 
      
        spotlight paper on CodeBPE 
      at the 
       DL4Code workshop of ICLR 2022
         (online)!
    
 
    -  Oct 2021 » Our  
      
        paper on analyzing the interplay between weight decay and batch normalization
      has been accepted to
       NeurIPS 2021
        (online)!
    
 
     -  Aug 2021 » We with Sergey Troshin presented our paper
       Empirical Study of Transformers for Source Code
      at ESEC/FSE 2021 (online).
       Here is our code
    
 
    -  Jun 2021 » Two papers on deep learning for source code presented 
      at
      NAACL 2021
      (a single-author long one and a short one with Sergey Troshin)
    
 
    -  Oct 2020 » We presented our spotlight paper
      
       On Power Laws in Deep Ensembles 
      at
       NeurIPS 2020 (online)
       
    
 
    -  Feb 2020 » We with Ekaterina Lobacheva presented 
      our paper at 
       AAAI Conference on Artificial Intelligence
        in New York, USA (presentation, 
      poster)
    
 
    -  Dec 2019 » I presented 
      our paper at 
       NeurIPS Workshop on Context and Compositionality in Biological and Artificial Neural Systems
        in Vancouver, Canada
    
 
    -  Dec 2019 » I gave a lecture on Bayesian neural networks at 
       Machine Learning and Applications to Physics
        workshop in Madrid, Spain
    
 
    -  Aug 2019 » We organized the third  
      Deep|Bayes  summer school.
    
 
    -  Jul 2019 »  I gave 
        lecture  
      and   seminar  
      on Bayesian neural networks at the 
        
         Fifth Machine Learning in High Energy Physics Summer School  in Hamburg, Germany
    
 
    -  Jun 2019 »  I took part in
      Google NLP summit in Zurich, Switzerland
    
 
    -  Jun 2019 »  I gave a   
      tutorial on Bayesian sparsification of neural networks  at  
        
         Probabilistic AI summer school  in Trondheim, Norway ( 
         video )
    
 
    -  Dec 2018 »  I gave a contributed 
       
      talk presenting    
      our paper  at NeurIPS 
        
         Workshop on Compact Deep Neural Networks with industrial applications, Montreal, Canada
    
 
    -  Nov 2018 »  We presented    
      our paper  at 
        EMNLP 2018, Brussels, Belgium
    
 
    -   Sep 2018 »  We organized the second   
      Summer school on deep learning and Bayesian methods  in Moscow, Russia. I was one of the main organizers
    
 
    -   Aug 2017 »  Our research group organized the first   
      Summer school on deep learning and Bayesian methods in Moscow, Russia. We with 
       
      Kate Lobacheva   ran all the organization
    
 
    -   Aug 2017 »  We presented our    
      paper  at the
        ICML Workshop on Learning to Generate Natural Language, 
      Sydney, Australia
    
 
    -   Oct 2016 »  Our   
      paper was published in the
        Journal on machine learning and data analysis. I gave a 
      talk presenting it at the
       11th International Conference on Intelligent Data Processing 
      in Barcelona, Spain