Nadezhda Chirkova

42 papers A* 6B 1Journal 27Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	XProvence: Zero-Cost Multilingual Context Pruning for Retrieval-Augmented Generation. ECIR (2) Youssef Mohamed, Mohamed Elhoseiny, Thibault Formal, Nadezhda Chirkova
2026	J	`jnl`	XProvence: Zero-Cost Multilingual Context Pruning for Retrieval-Augmented Generation. CoRR Youssef Mohamed, Mohamed Elhoseiny, Thibault Formal, Nadezhda Chirkova
2025	J	`jnl`	Adapting Large Language Models for Multi-Domain Retrieval-Augmented-Generation. CoRR Alexandre Misrahi, Nadezhda Chirkova, Maxime Louis, Vassilina Nikoulina
2025	J	`jnl`	DiffLoRA: Differential Low-Rank Adapters for Large Language Models. CoRR Alexandre Misrahi, Nadezhda Chirkova, Maxime Louis, Vassilina Nikoulina
2025	J	`jnl`	LLM-as-a-qualitative-judge: automating error analysis in natural language generation. CoRR Nadezhda Chirkova, Tunde Oluwaseyi Ajayi, Seth Aycock, Zain Muhammad Mujahid, Vladana Perlic, Ekaterina Borisova, Markarit Vartampetian
2025	A*	`conf`	Provence: efficient and robust context pruning for retrieval-augmented generation. ICLR Nadezhda Chirkova, Thibault Formal, Vassilina Nikoulina, Stéphane Clinchant
2025	J	`jnl`	Provence: efficient and robust context pruning for retrieval-augmented generation. CoRR Nadezhda Chirkova, Thibault Formal, Vassilina Nikoulina, Stéphane Clinchant
2024	—	`conf`	BERGEN: A Benchmarking Library for Retrieval-Augmented Generation. EMNLP (Findings) David Rau, Hervé Déjean, Nadezhda Chirkova, Thibault Formal, Shuai Wang, Stéphane Clinchant, Vassilina Nikoulina
2024	J	`jnl`	BERGEN: A Benchmarking Library for Retrieval-Augmented Generation. CoRR David Rau, Hervé Déjean, Nadezhda Chirkova, Thibault Formal, Shuai Wang, Vassilina Nikoulina, Stéphane Clinchant
2024	J	`jnl`	Investigating the potential of Sparse Mixtures-of-Experts for multi-domain neural machine translation. CoRR Nadezhda Chirkova, Vassilina Nikoulina, Jean-Luc Meunier, Alexandre Bérard
2024	—	`conf`	Key ingredients for effective zero-shot cross-lingual knowledge transfer in generative tasks. NAACL-HLT Nadezhda Chirkova, Vassilina Nikoulina
2024	J	`jnl`	Key ingredients for effective zero-shot cross-lingual knowledge transfer in generative tasks. CoRR Nadezhda Chirkova, Vassilina Nikoulina
2024	J	`jnl`	Retrieval-augmented generation in multilingual settings. CoRR Nadezhda Chirkova, David Rau, Hervé Déjean, Thibault Formal, Stéphane Clinchant, Vassilina Nikoulina
2024	J	`jnl`	Zero-shot cross-lingual transfer in instruction tuning of large language model. CoRR Nadezhda Chirkova, Vassilina Nikoulina
2024	B	`conf`	Zero-shot cross-lingual transfer in instruction tuning of large language models. INLG Nadezhda Chirkova, Vassilina Nikoulina
2023	A*	`conf`	CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code. ICLR Nadezhda Chirkova, Sergey Troshin
2023	J	`jnl`	CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code. CoRR Nadezhda Chirkova, Sergey Troshin
2023	J	`jnl`	Empirical study of pretrained multilingual language models for zero-shot cross-lingual generation. CoRR Nadezhda Chirkova, Sheng Liang, Vassilina Nikoulina
2023	—	`conf`	Should you marginalize over possible tokenizations? ACL (2) Nadezhda Chirkova, Germán Kruszewski, Jos Rozen, Marc Dymetman
2023	J	`jnl`	Should you marginalize over possible tokenizations? CoRR Nadezhda Chirkova, Germán Kruszewski, Jos Rozen, Marc Dymetman
2022	J	`jnl`	Parameter-Efficient Finetuning of Transformers for Source Code. CoRR Shamil Ayupov, Nadezhda Chirkova
2022	J	`jnl`	Probing Pretrained Models of Source Code. CoRR Sergey Troshin, Nadezhda Chirkova
2022	—	`conf`	Probing Pretrained Models of Source Codes. BlackboxNLP@EMNLP Sergey Troshin, Nadezhda Chirkova
2021	—	`conf`	A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code. NAACL-HLT Nadezhda Chirkova, Sergey Troshin
2021	—	`conf`	Empirical study of transformers for source code. ESEC/SIGSOFT FSE Nadezhda Chirkova, Sergey Troshin
2021	J	`jnl`	Machine Learning Methods for Spectral Efficiency Prediction in Massive MIMO Systems. CoRR Evgeny Bobrov, Sergey Troshin, Nadezhda Chirkova, Ekaterina Lobacheva, Sviatoslav Panchenko, Dmitry P. Vetrov, Dmitry Kropotov
2021	—	`conf`	On the Embeddings of Variables in Recurrent Neural Networks for Source Code. NAACL-HLT Nadezhda Chirkova
2021	J	`jnl`	On the Memorization Properties of Contrastive Learning. CoRR Ildus Sadrtdinov, Nadezhda Chirkova, Ekaterina Lobacheva
2021	A*	`conf`	On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay. NeurIPS Ekaterina Lobacheva, Maxim Kodryan, Nadezhda Chirkova, Andrey Malinin, Dmitry P. Vetrov
2021	J	`jnl`	On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay. CoRR Ekaterina Lobacheva, Maxim Kodryan, Nadezhda Chirkova, Andrey Malinin, Dmitry P. Vetrov
2020	J	`jnl`	A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code. CoRR Nadezhda Chirkova, Sergey Troshin
2020	J	`jnl`	Deep Ensembles on a Fixed Memory Budget: One Wide Network or Several Thinner Ones? CoRR Nadezhda Chirkova, Ekaterina Lobacheva, Dmitry P. Vetrov
2020	J	`jnl`	Empirical Study of Transformers for Source Code. CoRR Nadezhda Chirkova, Sergey Troshin
2020	J	`jnl`	Neural Code Completion with Anonymized Variable Names. CoRR Nadezhda Chirkova
2020	A*	`conf`	On Power Laws in Deep Ensembles. NeurIPS Ekaterina Lobacheva, Nadezhda Chirkova, Maxim Kodryan, Dmitry P. Vetrov
2020	J	`jnl`	On Power Laws in Deep Ensembles. CoRR Ekaterina Lobacheva, Nadezhda Chirkova, Maxim Kodryan, Dmitry P. Vetrov
2020	A*	`conf`	Structured Sparsification of Gated Recurrent Neural Networks. AAAI Ekaterina Lobacheva, Nadezhda Chirkova, Alexander Markovich, Dmitry P. Vetrov
2019	J	`jnl`	Structured Sparsification of Gated Recurrent Neural Networks. CoRR Ekaterina Lobacheva, Nadezhda Chirkova, Alexander Markovich, Dmitry P. Vetrov
2018	A*	`conf`	Bayesian Compression for Natural Language Processing. EMNLP Nadezhda Chirkova, Ekaterina Lobacheva, Dmitry P. Vetrov
2018	J	`jnl`	Bayesian Compression for Natural Language Processing. CoRR Nadezhda Chirkova, Ekaterina Lobacheva, Dmitry P. Vetrov
2018	J	`jnl`	Bayesian Sparsification of Gated Recurrent Neural Networks. CoRR Ekaterina Lobacheva, Nadezhda Chirkova, Dmitry P. Vetrov
2017	J	`jnl`	Bayesian Sparsification of Recurrent Neural Networks. CoRR Ekaterina Lobacheva, Nadezhda Chirkova, Dmitry P. Vetrov