Irina Piontkovskaya

49 papers A* 5A 2B 2Misc 3Journal 26Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	AudioSAE: Towards Understanding of Audio-Processing Models with Sparse AutoEncoders. EACL (Volume 1: Long Papers) Georgii Aparin, Tasnima Sadekova, Alexey D. Rukhovich, Assel Yermekova, Laida Kushnareva, Vadim Popov, Kristian Kuznetsov, Irina Piontkovskaya
2026	J	`jnl`	AudioSAE: Towards Understanding of Audio-Processing Models with Sparse AutoEncoders. CoRR Georgii Aparin, Tasnima Sadekova, Alexey D. Rukhovich, Assel Yermekova, Laida Kushnareva, Vadim Popov, Kristian Kuznetsov, Irina Piontkovskaya
2026	—	`conf`	Unveiling Intrinsic Dimension of Texts: from Academic Abstract to Creative Story. EACL (Volume 1: Long Papers) Vladislav Pedashenko, Laida Kushnareva, Yana Khassan Nibal, Eduard Tulchinskii, Kristian Kuznetsov, Vladislav Zharchinskii, Yury Maximov, Irina Piontkovskaya
2025	—	`conf`	CCT-Code: Cross-Consistency Training for Multilingual Clone Detection and Code Search. NAACL (Student Research Workshop) Nikita Sorokin, Tikhonov Anton, Dmitry Abulkhanov, Ivan Sedykh, Irina Piontkovskaya, Valentin Malykh
2025	J	`jnl`	Commute Your Domains: Trajectory Optimality Criterion for Multi-Domain Learning. CoRR Alexey D. Rukhovich, Alexander Podolskiy, Irina Piontkovskaya
2025	Misc	`conf`	Fast Thinking with Structured Prompts: Enabling LLM Reasoning without Chain-of-Thought Generation. RANLP Kirill Morozov, Liubov Chubarova, Irina Piontkovskaya
2025	—	`conf`	Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders. ACL (Findings) Kristian Kuznetsov, Laida Kushnareva, Anton Razzhigaev, Polina Druzhinina, Anastasia Voznyuk, Irina Piontkovskaya, Evgeny Burnaev, Serguei Barannikov
2025	J	`jnl`	Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders. CoRR Kristian Kuznetsov, Laida Kushnareva, Polina Druzhinina, Anton Razzhigaev, Anastasia Voznyuk, Irina Piontkovskaya, Evgeny Burnaev, Serguei Barannikov
2025	J	`jnl`	Gamayun's Path to Multilingual Mastery: Cost-Efficient Training of a 1.5B-Parameter LLM. CoRR 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
2025	A	`conf`	LAMeD: LLM-generated Annotations for Memory Leak Detection. EASE Ekaterina Shemetova, Ivan Smirnov, Anton Alekseev, Ilya Shenbin, Alexey D. Rukhovich, Sergey I. Nikolenko, Vadim Lomshakov, Irina Piontkovskaya
2025	J	`jnl`	LAMeD: LLM-generated Annotations for Memory Leak Detection. CoRR Ekaterina Shemetova, Ilya Shenbin, Ivan Smirnov, Anton Alekseev, Alexey D. Rukhovich, Sergey I. Nikolenko, Vadim Lomshakov, Irina Piontkovskaya
2025	A*	`conf`	Quantifying Logical Consistency in Transformers via Query-Key Alignment. EMNLP Eduard Tulchinskii, Laida Kushnareva, Anastasia Voznyuk, Andrei Andriiainen, Irina Piontkovskaya, Evgeny Burnaev, Serguei Barannikov
2025	J	`jnl`	Quantifying Logical Consistency in Transformers via Query-Key Alignment. CoRR Eduard Tulchinskii, Anastasia Voznyuk, Laida Kushnareva, Andrei Andriiainen, Irina Piontkovskaya, Evgeny Burnaev, Serguei Barannikov
2025	J	`jnl`	Unveiling Intrinsic Dimension of Texts: from Academic Abstract to Creative Story. CoRR Vladislav Pedashenko, Laida Kushnareva, Yana Khassan Nibal, Eduard Tulchinskii, Kristian Kuznetsov, Vladislav Zharchinskii, Yury Maximov, Irina Piontkovskaya
2025	—	`conf`	YABLoCo: Yet Another Benchmark for Long Context Code Generation. LLM4Code@ICSE Aidar Valeev, Roman Garaev, Vadim Lomshakov, Irina Piontkovskaya, Vladimir Ivanov, Israel Adewuyi
2025	J	`jnl`	YABLoCo: Yet Another Benchmark for Long Context Code Generation. CoRR Aidar Valeev, Roman Garaev, Vadim Lomshakov, Irina Piontkovskaya, Vladimir Ivanov, Israel Adewuyi
2024	J	`jnl`	Improving Interpretability and Robustness for the Detection of AI-Generated Images. CoRR Tatiana Gaintseva, Laida Kushnareva, German Magai, Irina Piontkovskaya, Sergey I. Nikolenko, Martin Benning, Serguei Barannikov, Gregory G. Slabaugh
2024	J	`jnl`	Listening to the Wise Few: Select-and-Copy Attention Heads for Multiple-Choice QA. CoRR Eduard Tulchinskii, Laida Kushnareva, Kristian Kuznetsov, Anastasia Voznyuk, Andrei Andriiainen, Irina Piontkovskaya, Evgeny Burnaev, Serguei Barannikov
2024	—	`conf`	Robust AI-Generated Text Detection by Restricted Embeddings. EMNLP (Findings) Kristian Kuznetsov, Eduard Tulchinskii, Laida Kushnareva, German Magai, Serguei Barannikov, Sergey I. Nikolenko, Irina Piontkovskaya
2024	J	`jnl`	Robust AI-Generated Text Detection by Restricted Embeddings. CoRR Kristian Kuznetsov, Eduard Tulchinskii, Laida Kushnareva, German Magai, Serguei Barannikov, Sergey I. Nikolenko, Irina Piontkovskaya
2023	J	`jnl`	Artificial Text Boundary Detection with Topological Data Analysis and Sliding Window Techniques. CoRR Laida Kushnareva, Tatiana Gaintseva, German Magai, Serguei Barannikov, Dmitry Abulkhanov, Kristian Kuznetsov, Irina Piontkovskaya, Sergey I. Nikolenko
2023	J	`jnl`	Can BERT eat RuCoLA? Topological Data Analysis to Explain. CoRR Irina Proskurina, Irina Piontkovskaya, Ekaterina Artemova
2023	A*	`conf`	Efficient Grammatical Error Correction Via Multi-Task Training and Optimized Training Schedule. EMNLP Andrey Bout, Alexander Podolskiy, Sergey I. Nikolenko, Irina Piontkovskaya
2023	J	`jnl`	Efficient Grammatical Error Correction Via Multi-Task Training and Optimized Training Schedule. CoRR Andrey Bout, Alexander Podolskiy, Sergey I. Nikolenko, Irina Piontkovskaya
2023	—	`conf`	GEC-DePenD: Non-Autoregressive Grammatical Error Correction with Decoupled Permutation and Decoding. ACL (1) Konstantin Yakovlev, Alexander Podolskiy, Andrey Bout, Sergey I. Nikolenko, Irina Piontkovskaya
2023	J	`jnl`	GEC-DePenD: Non-Autoregressive Grammatical Error Correction with Decoupled Permutation and Decoding. CoRR Konstantin Yakovlev, Alexander Podolskiy, Andrey Bout, Sergey I. Nikolenko, Irina Piontkovskaya
2023	A*	`conf`	Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts. NeurIPS Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Sergey I. Nikolenko, Evgeny Burnaev, Serguei Barannikov, Irina Piontkovskaya
2023	J	`jnl`	Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts. CoRR Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Serguei Barannikov, Irina Piontkovskaya, Sergey I. Nikolenko, Evgeny Burnaev
2023	J	`jnl`	PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing. CoRR 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
2023	A*	`conf`	Sinkhorn Transformations for Single-Query Postprocessing in Text-Video Retrieval. SIGIR Konstantin Yakovlev, Gregory Polyakov, Ilseyar Alimova, Alexander Podolskiy, Andrey Bout, Sergey I. Nikolenko, Irina Piontkovskaya
2023	J	`jnl`	Sinkhorn Transformations for Single-Query Postprocessing in Text-Video Retrieval. CoRR Konstantin Yakovlev, Gregory Polyakov, Ilseyar Alimova, Alexander Podolskiy, Andrey Bout, Sergey I. Nikolenko, Irina Piontkovskaya
2023	A	`conf`	Topological Data Analysis for Speech Processing. INTERSPEECH Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Serguei Barannikov, Irina Piontkovskaya, Sergey I. Nikolenko, Evgeny Burnaev
2022	—	`conf`	Acceptability Judgements via Examining the Topology of Attention Maps. EMNLP (Findings) Daniil Cherniavskii, Eduard Tulchinskii, Vladislav Mikhailov, Irina Proskurina, Laida Kushnareva, Ekaterina Artemova, Serguei Barannikov, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev
2022	J	`jnl`	Acceptability Judgements via Examining the Topology of Attention Maps. CoRR Daniil Cherniavskii, Eduard Tulchinskii, Vladislav Mikhailov, Irina Proskurina, Laida Kushnareva, Ekaterina Artemova, Serguei Barannikov, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev
2022	—	`conf`	Ask Me Anything in Your Native Language. NAACL-HLT Nikita Sorokin, Dmitry Abulkhanov, Irina Piontkovskaya, Valentin Malykh
2022	J	`jnl`	Betti numbers of attention graphs is all you really need. CoRR Laida Kushnareva, Dmitri Piontkovski, Irina Piontkovskaya
2022	J	`jnl`	Template-based Approach to Zero-shot Intent Recognition. CoRR Dmitry Lamanov, Pavel Burnyshev, Ekaterina Artemova, Valentin Malykh, Andrey Bout, Irina Piontkovskaya
2022	J	`jnl`	Topological Data Analysis for Speech Processing. CoRR Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Serguei Barannikov, Irina Piontkovskaya, Sergey I. Nikolenko, Evgeny Burnaev
2021	J	`jnl`	A Single Example Can Improve Zero-Shot Data Generation. CoRR Pavel Burnyshev, Valentin Malykh, Andrey Bout, Ekaterina Artemova, Irina Piontkovskaya
2021	—	`conf`	Artificial Text Detection via Examining the Topology of Attention Maps. EMNLP (1) Laida Kushnareva, Daniil Cherniavskii, Vladislav Mikhailov, Ekaterina Artemova, Serguei Barannikov, Alexander Bernstein, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev
2021	J	`jnl`	Artificial Text Detection via Examining the Topology of Attention Maps. CoRR Laida Kushnareva, Daniil Cherniavskii, Vladislav Mikhailov, Ekaterina Artemova, Serguei Barannikov, Alexander Bernstein, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev
2021	Misc	`conf`	InFoBERT: Zero-Shot Approach to Natural Language Understanding Using Contextualized Word Embedding. RANLP Pavel Burnyshev, Andrey Bout, Valentin Malykh, Irina Piontkovskaya
2021	Misc	`conf`	Multiple Teacher Distillation for Robust and Greener Models. RANLP Artur Ilichev, Nikita Sorokin, Irina Piontkovskaya, Valentin Malykh
2021	A*	`conf`	Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection. AAAI Alexander Podolskiy, Dmitry Lipin, Andrey Bout, Ekaterina Artemova, Irina Piontkovskaya
2021	J	`jnl`	Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection. CoRR Alexander Podolskiy, Dmitry Lipin, Andrey Bout, Ekaterina Artemova, Irina Piontkovskaya
2021	B	`conf`	Single Example Can Improve Zero-Shot Data Generation. INLG Pavel Burnyshev, Valentin Malykh, Andrey Bout, Ekaterina Artemova, Irina Piontkovskaya
2020	B	`conf`	SumTitles: a Summarization Dataset with Low Extractiveness. COLING Valentin Malykh, Konstantin Chernis, Ekaterina Artemova, Irina Piontkovskaya
2018	—	`conf`	Distributed Fine-tuning of Language Models on Private Data. ICLR (Poster) Vadim Popov, Mikhail A. Kudinov, Irina Piontkovskaya, Petr Vytovtov, Alex Nevidomsky
2017	J	`jnl`	Differentially Private Distributed Learning for Language Modeling Tasks. CoRR Vadim Popov, Mikhail A. Kudinov, Irina Piontkovskaya, Petr Vytovtov, Alex Nevidomsky