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