Differentially Private Distributed Learning for Language Modeling Tasks. - Vadim Popov; Mikhail A. Kudinov; Irina Piontkovskaya; Petr Vytovtov; Alex Nevidomsky (CoRR, 2017)

Distributed Fine-tuning of Language Models on Private Data. - Vadim Popov; Mikhail A. Kudinov; Irina Piontkovskaya; Petr Vytovtov; Alex Nevidomsky (ICLR (Poster), 2018)

SumTitles: a Summarization Dataset with Low Extractiveness. - Valentin Malykh; Konstantin Chernis; Ekaterina Artemova; Irina Piontkovskaya (COLING, 2020)

Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection. - Alexander Podolskiy; Dmitry Lipin; Andrey Bout; Ekaterina Artemova; Irina Piontkovskaya (AAAI, 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 (EMNLP (1), 2021)

Single Example Can Improve Zero-Shot Data Generation. - Pavel Burnyshev; Valentin Malykh; Andrey Bout; Ekaterina Artemova; Irina Piontkovskaya (INLG, 2021)

InFoBERT: Zero-Shot Approach to Natural Language Understanding Using Contextualized Word Embedding. - Pavel Burnyshev; Andrey Bout; Valentin Malykh; Irina Piontkovskaya (RANLP, 2021)

Multiple Teacher Distillation for Robust and Greener Models. - Artur Ilichev; Nikita Sorokin; Irina Piontkovskaya; Valentin Malykh (RANLP, 2021)

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 (EMNLP (Findings), 2022)

Ask Me Anything in Your Native Language. - Nikita Sorokin; Dmitry Abulkhanov; Irina Piontkovskaya; Valentin Malykh (NAACL-HLT, 2022)

Template-based Approach to Zero-shot Intent Recognition. - Dmitry Lamanov; Pavel Burnyshev; Ekaterina Artemova; Valentin Malykh; Andrey Bout; Irina Piontkovskaya (CoRR, 2022)

Betti numbers of attention graphs is all you really need. - Laida Kushnareva; Dmitri Piontkovski; Irina Piontkovskaya (CoRR, 2022)

GEC-DePenD: Non-Autoregressive Grammatical Error Correction with Decoupled Permutation and Decoding. - Konstantin Yakovlev; Alexander Podolskiy; Andrey Bout; Sergey I. Nikolenko; Irina Piontkovskaya (ACL (1), 2023)

Efficient Grammatical Error Correction Via Multi-Task Training and Optimized Training Schedule. - Andrey Bout; Alexander Podolskiy; Sergey I. Nikolenko; Irina Piontkovskaya (EMNLP, 2023)

Topological Data Analysis for Speech Processing. - Eduard Tulchinskii; Kristian Kuznetsov; Laida Kushnareva; Daniil Cherniavskii; Serguei Barannikov; Irina Piontkovskaya; Sergey I. Nikolenko; Evgeny Burnaev (INTERSPEECH, 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 (NeurIPS, 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 (SIGIR, 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; et al. (CoRR, 2023)

Can BERT eat RuCoLA? Topological Data Analysis to Explain. - Irina Proskurina; Irina Piontkovskaya; Ekaterina Artemova (CoRR, 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)

Robust AI-Generated Text Detection by Restricted Embeddings. - Kristian Kuznetsov; Eduard Tulchinskii; Laida Kushnareva; German Magai; Serguei Barannikov; Sergey I. Nikolenko; Irina Piontkovskaya (EMNLP (Findings), 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)

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)

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 (ACL (Findings), 2025)

YABLoCo: Yet Another Benchmark for Long Context Code Generation. - Aidar Valeev; Roman Garaev; Vadim Lomshakov; Irina Piontkovskaya; Vladimir Ivanov 001; Israel Adewuyi (LLM4Code@ICSE, 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 (NAACL (Student Research Workshop), 2025)

Commute Your Domains: Trajectory Optimality Criterion for Multi-Domain Learning. - Alexey D. Rukhovich; Alexander Podolskiy; Irina Piontkovskaya (CoRR, 2025)

Quantifying Logical Consistency in Transformers via Query-Key Alignment. - Eduard Tulchinskii; Anastasia Voznyuk; Laida Kushnareva; Andrei Andriiainen; Irina Piontkovskaya; Evgeny Burnaev; Serguei Barannikov (CoRR, 2025)

LAMeD: LLM-generated Annotations for Memory Leak Detection. - Ekaterina Shemetova; Ilya Shenbin; Ivan Smirnov; Anton Alekseev 001; Alexey D. Rukhovich; Sergey I. Nikolenko; Vadim Lomshakov; Irina Piontkovskaya (CoRR, 2025)