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pro vyhledávání: '"Malykh, A. A."'
Extractive summarization is a task of highlighting the most important parts of the text. We introduce a new approach to extractive summarization task using hidden clustering structure of the text. Experimental results on CNN/DailyMail demonstrate tha
Externí odkaz:
http://arxiv.org/abs/2406.08215
Autor:
Salnikov, Mikhail, Lysyuk, Maria, Braslavski, Pavel, Razzhigaev, Anton, Malykh, Valentin, Panchenko, Alexander
Pre-trained Text-to-Text Language Models (LMs), such as T5 or BART yield promising results in the Knowledge Graph Question Answering (KGQA) task. However, the capacity of the models is limited and the quality decreases for questions with less popular
Externí odkaz:
http://arxiv.org/abs/2310.07008
Autor:
Salnikov, Mikhail, Le, Hai, Rajput, Prateek, Nikishina, Irina, Braslavski, Pavel, Malykh, Valentin, Panchenko, Alexander
Recently, it has been shown that the incorporation of structured knowledge into Large Language Models significantly improves the results for a variety of NLP tasks. In this paper, we propose a method for exploring pre-trained Text-to-Text Language Mo
Externí odkaz:
http://arxiv.org/abs/2310.02166
Autor:
Dibak, Manuel, Vlasov, Vladimir, Karessli, Nour, Dedik, Darya, Malykh, Egor, Wasilewski, Jacek, Torres, Ton, Ramallo, Ana Peleteiro
Data-driven personalization is a key practice in fashion e-commerce, improving the way businesses serve their consumers needs with more relevant content. While hyper-personalization offers highly targeted experiences to each consumer, it requires a s
Externí odkaz:
http://arxiv.org/abs/2309.13068
Autor:
Aleksei Samarin, Aleksei Toropov, Alina Dzestelova, Artem Nazarenko, Egor Kotenko, Elena Mikhailova, Valentin A Malykh, Aleksandr Savelev, Alexandr Motyko, Aleksandra Dozortseva
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 36, Iss 2, Pp 903-911 (2024)
In this work, we describe our research aimed at developing classifiers for microbial images (bacilli images) obtained through microscopy of live (non-static) samples. We employed our proposed approach called AutoML, which is based on the automatic ge
Externí odkaz:
https://doaj.org/article/016018b9772f455382bab9c20d50b583
Wind Turbines Surface Damage Automatic Detection Using YOLOv8 with Specialized Backbone Modification
Autor:
Aleksei Samarin, Anastasiia Mamaeva, Aleksei Toropov, Alina Dzestelova, Artem Nazarenko, Egor Kotenko, Elena Mikhailova, Valentin A Malykh, Aleksandr Savelev, Alexandr Motyko
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 36, Iss 1, Pp 702-710 (2024)
This work is devoted to incorporating specialized self-attention blocks into deep neural network-based models for detecting and quantifying damage across various components of wind turbines using images captured by unmanned aerial vehicle cameras. In
Externí odkaz:
https://doaj.org/article/1e8f4f9a0ac94783ac1b0b4c776c1632
Autor:
Aleksei Samarin, Artem Nazarenko, Aleksei Toropov, Egor Kotenko, Alina Dzestelova, Elena Mikhailova, Valentin A Malykh, Alexander Savelev, Alexandr Motyko
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 36, Iss 1, Pp 711-720 (2024)
Image enhancement is crucial in digital image processing to improve visual quality across various applications. Recent advancements in deep learning and computer vision have significantly advanced automatic color correction. While heavyweight solutio
Externí odkaz:
https://doaj.org/article/71bec7a5142a4723a896b7c9e8a9c821
Code search is an important and well-studied task, but it usually means searching for code by a text query. We argue that using a code snippet (and possibly an error traceback) as a query while looking for bugfixing instructions and code samples is a
Externí odkaz:
http://arxiv.org/abs/2305.11625
We consider the clone detection and information retrieval problems for source code, well-known tasks important for any programming language. Although it is also an important and interesting problem to find code snippets that operate identically but a
Externí odkaz:
http://arxiv.org/abs/2305.11626
Autor:
Malykh, Mikhail1,2 (AUTHOR) ayrjan@jinr.ru, Ayryan, Edik2,3 (AUTHOR), Lapshenkova, Lyubov1 (AUTHOR) sevastianov-la@rudn.ru, Sevastianov, Leonid1,2 (AUTHOR)
Publikováno v:
Mathematics (2227-7390). Sep2024, Vol. 12 Issue 17, p2725. 15p.