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Towards Russian summarization: can architecture solve data limitations problems?
A. Akhmetgareeva, A. Abramov, I. Kuleshov, V. Leschuk, A. Fenogenova
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5 |
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Refining joint text and source code embeddings for retrieval task with parameter-efficient fine-tuning
K. Galliamov, L. Khaertdinova, K. Denisova
|
27 |
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UnGAN: machine unlearning strategies through membership inference
A. Zhavoronkin, M. Pautov, N. Kalmykov, E. Sevriugov, D. Kovalev, O. Y. Rogov, I. Oseledets
|
46 |
|
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Exploring the effectiveness of methods for persona extraction
K. Zaitsev
|
61 |
|
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Feature engineering pipeline optimisation in AutoML workflow using large language models
I. L. Iov, N. O. Nikitin
|
82 |
|
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Tiled physical adversarial patch for no-reference video quality metrics
V. Leonenkova, E. Shumitskaya, A. Antsiferova, D. Vatolin
|
113 |
|
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Improved maximum noise level estimation in black-box optimization problems
A. Lobanov, A. Gasnikov
|
132 |
|
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Detecting and eliminating covariate shifts in data for a more robust HDD failure prediction
K. Lukyanov, M. Drobyshevskiy, D. Turdakov
|
148 |
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Improving RAG with LoRA finetuning for persona text generation
V. Pavliukevich, A. Zherdeva, O. Makhnytkina, D. Dyrmovskiy
|
162 |
|
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An opensource library for AutoML multimodal clustering on Apache Spark
S. Muravyov, V. Kazakovtsev, I. Usov, P. Shpineva, O. Muravyova, A. Shalyto
|
178 |
|
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Survey on the legal question answering problem
A. Sabieva, A. Zhamankhan, N. Zhetessov, A. Kubayeva, I. Akhmetov, A. Pak, D. Akhmetova, A. Zhaxylykova, A. Yelenov
|
194 |
|
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MMA: a fight for multilingual models acceleration
N. Sukhanovskii, M. Ryndin
|
214 |
|
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Ensuring trustworthy code: leveraging a static analyzer to identify and mitigate defects in generated code
D. Shaikhelislamov, M. Drobyshevskiy, A. Belevancev
|
233 |
|
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Syntax transfer to Kyrgyz using the treebank translation method
A. Alekseev, A. Tillabaeva, G. Dzh. Kabaeva, S. I. Nikolenko
|
252 |
|
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Large language models for source code generation and editing
V. M. Lomshakov, S. I. Nikolenko
|
276 |
|
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Nonparametric methods for solving the data reconciliation problem
V. A. Garanin, K. K. Semenov
|
351 |
