Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Zharov, Yaroslav"'
Computational notebooks became indispensable tools for research-related development, offering unprecedented interactivity and flexibility in the development process. However, these benefits come at the cost of reproducibility and an increased potenti
Externí odkaz:
http://arxiv.org/abs/2410.14393
Autor:
Tsvetkov, Petr, Eliseeva, Aleksandra, Dig, Danny, Bezzubov, Alexander, Golubev, Yaroslav, Bryksin, Timofey, Zharov, Yaroslav
Commit message generation (CMG) is a crucial task in software engineering that is challenging to evaluate correctly. When a CMG system is integrated into the IDEs and other products at JetBrains, we perform online evaluation based on user acceptance
Externí odkaz:
http://arxiv.org/abs/2410.12046
Recent advancements in code-fluent Large Language Models (LLMs) enabled the research on repository-level code editing. In such tasks, the model navigates and modifies the entire codebase of a project according to request. Hence, such tasks require ef
Externí odkaz:
http://arxiv.org/abs/2406.04464
Computational notebooks became indispensable tools for research-related development, offering unprecedented interactivity and flexibility in the development process. However, these benefits come at the cost of reproducibility and an increased potenti
Externí odkaz:
http://arxiv.org/abs/2405.01559
Modern-day Integrated Development Environments (IDEs) have come a long way from the early text editing utilities to the complex programs encompassing thousands of functions to help developers. However, with the increasing number of efficiency-enhanci
Externí odkaz:
http://arxiv.org/abs/2402.11635
Autor:
Shapkin, Anton, Litvinov, Denis, Zharov, Yaroslav, Bogomolov, Egor, Galimzyanov, Timur, Bryksin, Timofey
Current state-of-the-art large language models are effective in generating high-quality text and encapsulating a broad spectrum of world knowledge. These models, however, often hallucinate and lack locally relevant factual data. Retrieval-augmented a
Externí odkaz:
http://arxiv.org/abs/2312.08976
Autor:
Zharov, Yaroslav, Ametova, Evelina, Spiecker, Rebecca, Baumbach, Tilo, Burca, Genoveva, Heuveline, Vincent
Noise is an important issue for radiographic and tomographic imaging techniques. It becomes particularly critical in applications where additional constraints force a strong reduction of the Signal-to-Noise Ratio (SNR) per image. These constraints ma
Externí odkaz:
http://arxiv.org/abs/2303.14429
In Computed Tomography, machine learning is often used for automated data processing. However, increasing model complexity is accompanied by increasingly large volume datasets, which in turn increases the cost of model training. Unlike most work that
Externí odkaz:
http://arxiv.org/abs/2303.14089
Autor:
Bhatt, Jwalin, Zharov, Yaroslav, Suh, Sungho, Baumbach, Tilo, Heuveline, Vincent, Lukowicz, Paul
Morphological atlases are an important tool in organismal studies, and modern high-throughput Computed Tomography (CT) facilities can produce hundreds of full-body high-resolution volumetric images of organisms. However, creating an atlas from these
Externí odkaz:
http://arxiv.org/abs/2302.12562
The technical advances in Computed Tomography (CT) allow to obtain immense amounts of 3D data. For such datasets it is very costly and time-consuming to obtain the accurate 3D segmentation markup to train neural networks. The annotation is typically
Externí odkaz:
http://arxiv.org/abs/2203.09372