Bayesian Sparsification of Recurrent Neural Networks. - Ekaterina Lobacheva; Nadezhda Chirkova; Dmitry P. Vetrov (CoRR, 2017)

Bayesian Compression for Natural Language Processing. - Nadezhda Chirkova; Ekaterina Lobacheva; Dmitry P. Vetrov (EMNLP, 2018)

Bayesian Sparsification of Gated Recurrent Neural Networks. - Ekaterina Lobacheva; Nadezhda Chirkova; Dmitry P. Vetrov (CoRR, 2018)

Structured Sparsification of Gated Recurrent Neural Networks. - Ekaterina Lobacheva; Nadezhda Chirkova; Alexander Markovich; Dmitry P. Vetrov (AAAI, 2020)

On Power Laws in Deep Ensembles. - Ekaterina Lobacheva; Nadezhda Chirkova; Maxim Kodryan; Dmitry P. Vetrov (NeurIPS, 2020)

Deep Ensembles on a Fixed Memory Budget: One Wide Network or Several Thinner Ones? - Nadezhda Chirkova; Ekaterina Lobacheva; Dmitry P. Vetrov (CoRR, 2020)

Neural Code Completion with Anonymized Variable Names. - Nadezhda Chirkova (CoRR, 2020)

On the Embeddings of Variables in Recurrent Neural Networks for Source Code. - Nadezhda Chirkova (NAACL-HLT, 2021)

A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code. - Nadezhda Chirkova; Sergey Troshin 001 (NAACL-HLT, 2021)

On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay. - Ekaterina Lobacheva; Maxim Kodryan; Nadezhda Chirkova; Andrey Malinin; Dmitry P. Vetrov (NeurIPS, 2021)

Empirical study of transformers for source code. - Nadezhda Chirkova; Sergey Troshin 001 (ESEC/SIGSOFT FSE, 2021)

On the Memorization Properties of Contrastive Learning. - Ildus Sadrtdinov; Nadezhda Chirkova; Ekaterina Lobacheva (CoRR, 2021)

Machine Learning Methods for Spectral Efficiency Prediction in Massive MIMO Systems. - Evgeny Bobrov; Sergey Troshin 001; Nadezhda Chirkova; Ekaterina Lobacheva; Sviatoslav Panchenko; Dmitry P. Vetrov; Dmitry Kropotov (CoRR, 2021)

Probing Pretrained Models of Source Codes. - Sergey Troshin 001; Nadezhda Chirkova (BlackboxNLP@EMNLP, 2022)

Probing Pretrained Models of Source Code. - Sergey Troshin 001; Nadezhda Chirkova (CoRR, 2022)

Parameter-Efficient Finetuning of Transformers for Source Code. - Shamil Ayupov; Nadezhda Chirkova (CoRR, 2022)

Should you marginalize over possible tokenizations? - Nadezhda Chirkova; Germán Kruszewski; Jos Rozen; Marc Dymetman (ACL (2), 2023)

CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code. - Nadezhda Chirkova; Sergey Troshin 001 (ICLR, 2023)

Empirical study of pretrained multilingual language models for zero-shot cross-lingual generation. - Nadezhda Chirkova; Sheng Liang; Vassilina Nikoulina (CoRR, 2023)

BERGEN: A Benchmarking Library for Retrieval-Augmented Generation. - David Rau; Hervé Déjean; Nadezhda Chirkova; Thibault Formal; Shuai Wang 004; Stéphane Clinchant; Vassilina Nikoulina (EMNLP (Findings), 2024)

Zero-shot cross-lingual transfer in instruction tuning of large language models. - Nadezhda Chirkova; Vassilina Nikoulina (INLG, 2024)

Key ingredients for effective zero-shot cross-lingual knowledge transfer in generative tasks. - Nadezhda Chirkova; Vassilina Nikoulina (NAACL-HLT, 2024)

Zero-shot cross-lingual transfer in instruction tuning of large language model. - Nadezhda Chirkova; Vassilina Nikoulina (CoRR, 2024)

Investigating the potential of Sparse Mixtures-of-Experts for multi-domain neural machine translation. - Nadezhda Chirkova; Vassilina Nikoulina; Jean-Luc Meunier; Alexandre Bérard (CoRR, 2024)

Retrieval-augmented generation in multilingual settings. - Nadezhda Chirkova; David Rau; Hervé Déjean; Thibault Formal; Stéphane Clinchant; Vassilina Nikoulina (CoRR, 2024)

Provence: efficient and robust context pruning for retrieval-augmented generation. - Nadezhda Chirkova; Thibault Formal; Vassilina Nikoulina; Stéphane Clinchant (ICLR, 2025)

Adapting Large Language Models for Multi-Domain Retrieval-Augmented-Generation. - Alexandre Misrahi; Nadezhda Chirkova; Maxime Louis; Vassilina Nikoulina (CoRR, 2025)

LLM-as-a-qualitative-judge: automating error analysis in natural language generation. - Nadezhda Chirkova; Tunde Oluwaseyi Ajayi; Seth Aycock; Zain Muhammad Mujahid; Vladana Perlic; Ekaterina Borisova; Markarit Vartampetian (CoRR, 2025)

DiffLoRA: Differential Low-Rank Adapters for Large Language Models. - Alexandre Misrahi; Nadezhda Chirkova; Maxime Louis; Vassilina Nikoulina (CoRR, 2025)