Zobrazeno 1 - 10
of 6 843
pro vyhledávání: '"YUNIS, A. A."'
Language models are now deployed in a wide variety of user-facing applications, often for specific purposes like answering questions about documentation or acting as coding assistants. As these models are intended for particular purposes, they should
Externí odkaz:
http://arxiv.org/abs/2410.21597
Autor:
Yunis, David, Patel, Kumar Kshitij, Wheeler, Samuel, Savarese, Pedro, Vardi, Gal, Livescu, Karen, Maire, Michael, Walter, Matthew R.
We propose an empirical approach centered on the spectral dynamics of weights -- the behavior of singular values and vectors during optimization -- to unify and clarify several phenomena in deep learning. We identify a consistent bias in optimization
Externí odkaz:
http://arxiv.org/abs/2408.11804
We present an approach for analyzing grouping information contained within a neural network's activations, permitting extraction of spatial layout and semantic segmentation from the behavior of large pre-trained vision models. Unlike prior work, our
Externí odkaz:
http://arxiv.org/abs/2312.06716
Sentiment analysis of social media data is an emerging field with vast applications in various domains. In this study, we developed a sentiment analysis model to analyze social media sentiment, especially tweets, during global conflicting scenarios.
Externí odkaz:
http://arxiv.org/abs/2312.03715
Publikováno v:
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Introduction The left atrial appendage (LAA) is a distinct structure with unique developmental and structural characteristics. The LAA is involved in the formation of intra-atrial thrombi, particularly in patients with conditions such as atr
Externí odkaz:
https://doaj.org/article/86b9f831d2fb41259eb6569e4e413c2f
Autor:
Yunis Ismayil
Publikováno v:
Yönetim ve Organizasyon Araştırmaları Dergisi, Vol 9, Iss 2, Pp 197-223 (2024)
This paper focuses on Prof. Hüseyin Leblebici’s contributions to studying professions and professional organizations with a bibliometric analysis. By employing bibliometric methods, the study assesses Prof. Leblebici’s scholarly influence throug
Externí odkaz:
https://doaj.org/article/92e01163869b477c95f727b4c7d4eb04
Exploration in sparse-reward reinforcement learning is difficult due to the requirement of long, coordinated sequences of actions in order to achieve any reward. Moreover, in continuous action spaces there are an infinite number of possible actions,
Externí odkaz:
http://arxiv.org/abs/2309.04459
Publikováno v:
Radiology Case Reports, Vol 20, Iss 2, Pp 1236-1242 (2025)
Cor triatriatum is an uncommon cardiac defect that occurs in 0.1-0.4% of congenital heart disease patients. It is characterized by a fibromuscular membrane separating the left (sinister) or the right (Dexter) atriums in tow chambers. The disease is u
Externí odkaz:
https://doaj.org/article/693994808fc94f53a8c8c29b6bb6be10
Autor:
Yoneda, Takuma, Fang, Jiading, Li, Peng, Zhang, Huanyu, Jiang, Tianchong, Lin, Shengjie, Picker, Ben, Yunis, David, Mei, Hongyuan, Walter, Matthew R.
There has been a significant research interest in employing large language models to empower intelligent robots with complex reasoning. Existing work focuses on harnessing their abilities to reason about the histories of their actions and observation
Externí odkaz:
http://arxiv.org/abs/2306.17840
Autor:
Argüelles, C. R., Boshkayev, K., Krut, A., Nurbakhyt, G., Rueda, J. A., Ruffini, R., Uribe-Suárez, J. D., Yunis, R.
Observations support the idea that supermassive black holes (SMBHs) power the emission at the center of active galaxies. However, contrary to stellar-mass BHs, there is a poor understanding of their origin and physical formation channel. In this arti
Externí odkaz:
http://arxiv.org/abs/2305.02430