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pro vyhledávání: '"A., Alimova"'
Warning: this work contains upsetting or disturbing content. Large language models (LLMs) tend to learn the social and cultural biases present in the raw pre-training data. To test if an LLM's behavior is fair, functional datasets are employed, and d
Externí odkaz:
http://arxiv.org/abs/2403.17553
Autor:
Yakovlev, Konstantin, Polyakov, Gregory, Alimova, Ilseyar, Podolskiy, Alexander, Bout, Andrey, Nikolenko, Sergey, Piontkovskaya, Irina
A recent trend in multimodal retrieval is related to postprocessing test set results via the dual-softmax loss (DSL). While this approach can bring significant improvements, it usually presumes that an entire matrix of test samples is available as DS
Externí odkaz:
http://arxiv.org/abs/2311.08143
Autor:
Dina R. Alimova
Publikováno v:
RUDN Journal of Law, Vol 28, Iss 4, Pp 730-742 (2024)
A thorough examination of governmental and legal processes holds significant relevance in the modern world characterized by constantly evolving global dynamics. Delving into diverse theoretical frameworks such as realistic, constructivist, and libera
Externí odkaz:
https://doaj.org/article/800ef80715714ebcb02b87d78a858238
Autor:
Abramov, Artem N., Chestnov, Igor Y., Alimova, Ekaterina S., Ivanova, Tatiana, Mukhin, Ivan S., Krizhanovskii, Dmitry N., Shelykh, Ivan A., Iorsh, Ivan V., Kravtsov, Vasily
Local deformation of atomically thin van der Waals materials provides a powerful approach to create site-controlled chip-compatible single-photon emitters (SPEs). However, the microscopic mechanisms underlying the formation of such strain-induced SPE
Externí odkaz:
http://arxiv.org/abs/2301.09478
Autor:
Alimova, Alina A., Gureeva, Maria V., Gladkikh, Mariya I., Nesterova, Ekaterina Yu, Syromyatnikov, Mikhail Yu, Gureev, Artem P.
Publikováno v:
In Plant Gene December 2024 40
Publikováno v:
In Physics of the Dark Universe February 2025 47
Autor:
Abdimanap, Galymzhan, Bostanbekov, Kairat, Abdallah, Abdelrahman, Alimova, Anel, Kurmangaliyev, Darkhan, Nurseitov, Daniyar
In the thrilling world of oil exploration, drill core samples are key to unlocking geological information critical to finding lucrative oil deposits. Despite the importance of these samples, traditional core logging techniques are known to be laborio
Externí odkaz:
http://arxiv.org/abs/2204.14224
Autor:
Alimova, Ilseyar, Tutubalina, Elena
Publikováno v:
Analysis of Images, Social Networks and Texts. AIST 2021. Lecture Notes in Computer Science, vol 13217. Springer, Cham
Automatic monitoring of adverse drug events (ADEs) or reactions (ADRs) is currently receiving significant attention from the biomedical community. In recent years, user-generated data on social media has become a valuable resource for this task. Neur
Externí odkaz:
http://arxiv.org/abs/2111.12477
Publikováno v:
Jurnal Teknik Industri, Vol 26, Iss 1 (2024)
Unsafe Condition Reporting is an important source of information for companies to determine whether the reporting can be identified effectively as the key to reducing work accidents. This research aims to ascertain the Social Network Analysis visuali
Externí odkaz:
https://doaj.org/article/3f05cb49f3cf49baaa46dbcfb32783c8
Autor:
Ayshwarya Subramanian, Katherine A. Vernon, Yiming Zhou, Jamie L. Marshall, Maria Alimova, Carlos Arevalo, Fan Zhang, Michal Slyper, Julia Waldman, Monica S. Montesinos, Danielle Dionne, Lan T. Nguyen, Michael S. Cuoco, Dan Dubinsky, Jason Purnell, Keith Keller, Samuel H. Sturner, Elizabeth Grinkevich, Ayan Ghoshal, Amanda Kotek, Giorgio Trivioli, Nathan Richoz, Mary B. Humphrey, Isabella G. Darby, Sarah J. Miller, Yingping Xu, Astrid Weins, Alexandra Chloe-Villani, Steven L. Chang, Matthias Kretzler, Orit Rosenblatt-Rosen, Jillian L. Shaw, Kurt A. Zimmerman, Menna R. Clatworthy, Aviv Regev, Anna Greka
Publikováno v:
Cell Reports, Vol 43, Iss 6, Pp 114253- (2024)
Summary: Diabetic kidney disease (DKD), the most common cause of kidney failure, is a frequent complication of diabetes and obesity, and yet to date, treatments to halt its progression are lacking. We analyze kidney single-cell transcriptomic profile
Externí odkaz:
https://doaj.org/article/c26ba69a6afe47bdbc7deb8408bb9ad1