Irina Piontkovskaya

According to our database, Irina Piontkovskaya authored at least 33 papers between 2017 and 2026.

Collaborative distances:

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

2026

Unveiling Intrinsic Dimension of Texts: from Academic Abstract to Creative Story.

Vladislav Pedashenko, Laida Kushnareva, Yana Khassan Nibal, Eduard Tulchinskii, Kristian Kuznetsov, Vladislav Zharchinskii, Yury Maximov, Irina Piontkovskaya

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

AudioSAE: Towards Understanding of Audio-Processing Models with Sparse AutoEncoders.

Georgii Aparin, Tasnima Sadekova, Alexey D. Rukhovich, Assel Yermekova, Laida Kushnareva, Vadim Popov, Kristian Kuznetsov, Irina Piontkovskaya

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Gamayun's Path to Multilingual Mastery: Cost-Efficient Training of a 1.5B-Parameter LLM.

Alexander Podolskiy, Semen Molokov, Timofey Gerasin, Maksim Titov, Alexey D. Rukhovich, Artem Khrapov, Kirill Morozov, Evgeny Tetin, Constantine Korikov, Pavel Efimov, Polina Lazukova, Yuliya Skripkar, Nikita Okhotnikov, Irina Piontkovskaya, Xiaojun Meng, Zou Xueyi, Zhenhe Zhang

CoRR, December, 2025

Commute Your Domains: Trajectory Optimality Criterion for Multi-Domain Learning.

Alexey D. Rukhovich, Alexander Podolskiy, Irina Piontkovskaya

CoRR, January, 2025

Fast Thinking with Structured Prompts: Enabling LLM Reasoning without Chain-of-Thought Generation.

Kirill Morozov, Liubov Chubarova, Irina Piontkovskaya

Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing, 2025

CCT-Code: Cross-Consistency Training for Multilingual Clone Detection and Code Search.

Nikita Sorokin, Tikhonov Anton, Dmitry Abulkhanov, Ivan Sedykh, Irina Piontkovskaya, Valentin Malykh

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

YABLoCo: Yet Another Benchmark for Long Context Code Generation.

Aidar Valeev, Roman Garaev, Vadim Lomshakov, Irina Piontkovskaya, Vladimir Ivanov, Israel Adewuyi

Proceedings of the IEEE/ACM International Workshop on Large Language Models for Code, 2025

Quantifying Logical Consistency in Transformers via Query-Key Alignment.

Eduard Tulchinskii, Laida Kushnareva, Anastasia Voznyuk, Andrei Andriiainen, Irina Piontkovskaya, Evgeny Burnaev, Serguei Barannikov

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

LAMeD: LLM-generated Annotations for Memory Leak Detection.

Ekaterina Shemetova, Ivan Smirnov, Anton Alekseev, Ilya Shenbin, Alexey D. Rukhovich, Sergey I. Nikolenko, Vadim Lomshakov, Irina Piontkovskaya

Proceedings of the 29th International Conference on Evaluation and Assessment in Software Engineering, 2025

Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders.

Kristian Kuznetsov, Laida Kushnareva, Anton Razzhigaev, Polina Druzhinina, Anastasia Voznyuk, Irina Piontkovskaya, Evgeny Burnaev, Serguei Barannikov

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Listening to the Wise Few: Select-and-Copy Attention Heads for Multiple-Choice QA.

Eduard Tulchinskii, Laida Kushnareva, Kristian Kuznetsov, Anastasia Voznyuk, Andrei Andriiainen, Irina Piontkovskaya, Evgeny Burnaev, Serguei Barannikov

CoRR, 2024

Improving Interpretability and Robustness for the Detection of AI-Generated Images.

Tatiana Gaintseva, Laida Kushnareva, German Magai, Irina Piontkovskaya, Sergey I. Nikolenko, Martin Benning, Serguei Barannikov, Gregory G. Slabaugh

CoRR, 2024

Robust AI-Generated Text Detection by Restricted Embeddings.

Kristian Kuznetsov, Eduard Tulchinskii, Laida Kushnareva, German Magai, Serguei Barannikov, Sergey I. Nikolenko, Irina Piontkovskaya

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

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

Topological Data Analysis for Speech Processing.

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

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 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

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