Irina Piontkovskaya

According to our database, Irina Piontkovskaya authored at least 20 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Artificial Text Boundary Detection with Topological Data Analysis and Sliding Window Techniques.

Laida Kushnareva, Tatiana Gaintseva, German Magai, Serguei Barannikov, Dmitry Abulkhanov, Kristian Kuznetsov, Irina Piontkovskaya, Sergey I. Nikolenko

CoRR, 2023

Can BERT eat RuCoLA? Topological Data Analysis to Explain.

Irina Proskurina, Irina Piontkovskaya, Ekaterina Artemova

CoRR, 2023

PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing.

Xiaozhe Ren, Pingyi Zhou, Xinfan Meng, Xinjing Huang, Yadao Wang, Weichao Wang, Pengfei Li, Xiaoda Zhang, Alexander Podolskiy, Grigory Arshinov, Andrey Bout, Irina Piontkovskaya, Jiansheng Wei, Xin Jiang, Teng Su, Qun Liu, Jun Yao

CoRR, 2023

Sinkhorn Transformations for Single-Query Postprocessing in Text-Video Retrieval.

Konstantin Yakovlev, Gregory Polyakov, Ilseyar Alimova, Alexander Podolskiy, Andrey Bout, Sergey I. Nikolenko, Irina Piontkovskaya

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts.

Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Sergey I. Nikolenko, Evgeny Burnaev, Serguei Barannikov, Irina Piontkovskaya

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Grammatical Error Correction Via Multi-Task Training and Optimized Training Schedule.

Andrey Bout, Alexander Podolskiy, Sergey I. Nikolenko, Irina Piontkovskaya

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

GEC-DePenD: Non-Autoregressive Grammatical Error Correction with Decoupled Permutation and Decoding.

Konstantin Yakovlev, Alexander Podolskiy, Andrey Bout, Sergey I. Nikolenko, Irina Piontkovskaya

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Topological Data Analysis for Speech Processing.

Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Serguei Barannikov, Irina Piontkovskaya, Sergey I. Nikolenko, Evgeny Burnaev

CoRR, 2022

Betti numbers of attention graphs is all you really need.

Laida Kushnareva, Dmitri Piontkovski, Irina Piontkovskaya

CoRR, 2022

Template-based Approach to Zero-shot Intent Recognition.

Dmitry Lamanov, Pavel Burnyshev, Ekaterina Artemova, Valentin Malykh, Andrey Bout, Irina Piontkovskaya

CoRR, 2022

Ask Me Anything in Your Native Language.

Nikita Sorokin, Dmitry Abulkhanov, Irina Piontkovskaya, Valentin Malykh

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Acceptability Judgements via Examining the Topology of Attention Maps.

Daniil Cherniavskii, Eduard Tulchinskii, Vladislav Mikhailov, Irina Proskurina, Laida Kushnareva, Ekaterina Artemova, Serguei Barannikov, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Multiple Teacher Distillation for Robust and Greener Models.

Artur Ilichev, Nikita Sorokin, Irina Piontkovskaya, Valentin Malykh

Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

InFoBERT: Zero-Shot Approach to Natural Language Understanding Using Contextualized Word Embedding.

Pavel Burnyshev, Andrey Bout, Valentin Malykh, Irina Piontkovskaya

Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

Single Example Can Improve Zero-Shot Data Generation.

Pavel Burnyshev, Valentin Malykh, Andrey Bout, Ekaterina Artemova, Irina Piontkovskaya

Proceedings of the 14th International Conference on Natural Language Generation, 2021

Artificial Text Detection via Examining the Topology of Attention Maps.

Laida Kushnareva, Daniil Cherniavskii, Vladislav Mikhailov, Ekaterina Artemova, Serguei Barannikov, Alexander Bernstein, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection.

Alexander Podolskiy, Dmitry Lipin, Andrey Bout, Ekaterina Artemova, Irina Piontkovskaya

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

SumTitles: a Summarization Dataset with Low Extractiveness.

Valentin Malykh, Konstantin Chernis, Ekaterina Artemova, Irina Piontkovskaya

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2018

Distributed Fine-tuning of Language Models on Private Data.

Vadim Popov, Mikhail A. Kudinov, Irina Piontkovskaya, Petr Vytovtov, Alex Nevidomsky

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Differentially Private Distributed Learning for Language Modeling Tasks.

Vadim Popov, Mikhail A. Kudinov, Irina Piontkovskaya, Petr Vytovtov, Alex Nevidomsky

CoRR, 2017