Laida Kushnareva

23 papers A* 2A 1Journal 14Unranked 6

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`	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	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
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	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	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	J	`jnl`	Betti numbers of attention graphs is all you really need. CoRR Laida Kushnareva, Dmitri Piontkovski, 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	—	`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
2020	J	`jnl`	Category-Learning with Context-Augmented Autoencoder. CoRR Denis Kuzminykh, Laida Kushnareva, Timofey Grigoryev, Alexander Zatolokin