Zobrazeno 1 - 10
of 25 185
pro vyhledávání: '"AlZahrani AS"'
Publikováno v:
International Medical Case Reports Journal, Vol Volume 15, Pp 91-96 (2022)
Khadijah Maghrabi,1 Ruba Aldhaheri,2 Nora Aljunaid,2 Amal Saeed Alzahrani,2 Hanan Mohammad Alsayyad,2 Nada Kalakattawi,2 Osama Safdar2 1Abdullah Bakhsh Children’s Heart Center, Department of Pediatrics, Faculty of Medicine, King Abdulaziz Universit
Externí odkaz:
https://doaj.org/article/03f5d97b338b463f99422115d8db3772
Autor:
Murugan AK, Alzahrani AS
Publikováno v:
Journal of Inflammation Research, Vol Volume 14, Pp 6191-6221 (2021)
Avaniyapuram Kannan Murugan,1 Ali S Alzahrani1,2 1Division of Molecular Endocrinology, Department of Molecular Oncology, King Faisal Specialist Hospital and Research Centre, Riyadh, 11211, Saudi Arabia; 2Department of Medicine, King Faisal Specialist
Externí odkaz:
https://doaj.org/article/11e51be9f89b4027b9af9486871636b1
Autor:
Elbashir, Amira E.E., Alghamdi, Ghadi S., Alzahrani, Shatha A.J., Alghamdi, Hanin J.H., Zahrani, Shaima K.A., Alghamdi, Ghayda A., Alowaid, Ghaidaa S., Alghamdi, Nada A.M., Fadlalmola, Hammad A.
Publikováno v:
African Journal of Reproductive Health / La Revue Africaine de la Santé Reproductive, 2024 Sep 01. 28(9), 25-31.
Externí odkaz:
https://www.jstor.org/stable/27332738
Autor:
Hijazi, Faris, AlHarbi, Somayah, AlHussein, Abdulaziz, Shairah, Harethah Abu, AlZahrani, Reem, AlShamlan, Hebah, Knio, Omar, Turkiyyah, George
The rapid advancements in Large Language Models (LLMs) have led to significant improvements in various natural language processing tasks. However, the evaluation of LLMs' legal knowledge, particularly in non-English languages such as Arabic, remains
Externí odkaz:
http://arxiv.org/abs/2408.07983
Autor:
Bari, M Saiful, Alnumay, Yazeed, Alzahrani, Norah A., Alotaibi, Nouf M., Alyahya, Hisham A., AlRashed, Sultan, Mirza, Faisal A., Alsubaie, Shaykhah Z., Alahmed, Hassan A., Alabduljabbar, Ghadah, Alkhathran, Raghad, Almushayqih, Yousef, Alnajim, Raneem, Alsubaihi, Salman, Mansour, Maryam Al, Alrubaian, Majed, Alammari, Ali, Alawami, Zaki, Al-Thubaity, Abdulmohsen, Abdelali, Ahmed, Kuriakose, Jeril, Abujabal, Abdalghani, Al-Twairesh, Nora, Alowisheq, Areeb, Khan, Haidar
We present ALLaM: Arabic Large Language Model, a series of large language models to support the ecosystem of Arabic Language Technologies (ALT). ALLaM is carefully trained considering the values of language alignment and knowledge transfer at scale.
Externí odkaz:
http://arxiv.org/abs/2407.15390
In the current era of digital communication and widespread use of social media, it is crucial to develop an understanding of persuasive techniques employed in written text. This knowledge is essential for effectively discerning accurate information a
Externí odkaz:
http://arxiv.org/abs/2405.12884
Human decision-making often relies on visual information from multiple perspectives or views. In contrast, machine learning-based object recognition utilizes information from a single image of the object. However, the information conveyed by a single
Externí odkaz:
http://arxiv.org/abs/2404.15224
Autor:
Alzahrani AS, Alqahtani A, Alhazmi M, Gaafar R, Bajabir D, Alharbi IM, Alharbi AMF, Kheshaifaty G, Alzahrani A
Publikováno v:
Patient Preference and Adherence, Vol Volume 12, Pp 1659-1666 (2018)
Ahmad S Alzahrani,1 Abdullah Alqahtani,1 Maher Alhazmi,1 Rehab Gaafar,2 Doaa Bajabir,1 Ibtehaj M Alharbi,3 Ashwaq MF Alharbi,3 Ghufran Kheshaifaty,1 Aamer Alzahrani4 1Mental Health Department, Neuroscience Center, King Abdullah Medical City, Makkah,
Externí odkaz:
https://doaj.org/article/d08879c0e9f04c5e80567e052b54ef1d
Autor:
Alzahrani, Norah, Alyahya, Hisham Abdullah, Alnumay, Yazeed, Alrashed, Sultan, Alsubaie, Shaykhah, Almushaykeh, Yusef, Mirza, Faisal, Alotaibi, Nouf, Altwairesh, Nora, Alowisheq, Areeb, Bari, M Saiful, Khan, Haidar
Large Language Model (LLM) leaderboards based on benchmark rankings are regularly used to guide practitioners in model selection. Often, the published leaderboard rankings are taken at face value - we show this is a (potentially costly) mistake. Unde
Externí odkaz:
http://arxiv.org/abs/2402.01781
Addressing biases in AI models is crucial for ensuring fair and accurate predictions. However, obtaining large, unbiased datasets for training can be challenging. This paper proposes a comprehensive approach using multiple methods to remove bias in A
Externí odkaz:
http://arxiv.org/abs/2402.00910