Search Results - "Almubarak, Khalid"

The incidence of odontoid fractures following trauma in a major trauma center, a retrospective study by AlEissa, Sami, Alhandi, Ali, Bugis, Ahad, Alsalamah, Raghad, Alsheddi, Abdulellah, Almubarak, Abdulaziz, AlAssiri, Suhail, Konbaz, Faisal

“…Background: Cervical spine injury is the most common vertebral injury after major trauma, 20% of all cervical fractures happen to be odontoid fractures. In…”
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Image Authentication Using Self-Supervised Learning to Detect Manipulation Over Social Network Platforms by Alkhowaiter, Mohammed, Almubarak, Khalid, Alyami, Mnassar, Alghamdi, Abdulmajeed, Zou, Cliff

“…Social media nowadays has a direct impact on people's daily lives as many edge devices are available at our disposal and controlled by our fingertips. With…”
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Elder abuse in Saudi Arabia: A systematic review [version 1; peer review: 1 approved with reservations, 1 not approved] by Alqahtani, Ali S., Alanazi, Ammer L., alsayyali, Ziyad K., Almubarak, Khalid Z., Alzahrani, Nasser N., Bokhari, Amr R., Menezes, Ritesh G.

“…Background: Elder abuse is a common global problem that is certainly preventable. The first step to tackling elder abuse is by researching its prevalence and…”
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Evaluating Perceptual Hashing Algorithms in Detecting Image Manipulation Over Social Media Platforms by Alkhowaiter, Mohammed, Almubarak, Khalid, Zou, Cliff

“…Perceptual hash is a fingerprint of features of multimedia content. Compared with crypto hash, perceptual hash shows many advantages when defending against…”
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ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic by Koto, Fajri, Li, Haonan, Shatnawi, Sara, Doughman, Jad, Sadallah, Abdelrahman Boda, Alraeesi, Aisha, Almubarak, Khalid, Alyafeai, Zaid, Sengupta, Neha, Shehata, Shady, Habash, Nizar, Nakov, Preslav, Baldwin, Timothy

“…The focus of language model evaluation has transitioned towards reasoning and knowledge-intensive tasks, driven by advancements in pretraining large models…”
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CIDAR: Culturally Relevant Instruction Dataset For Arabic by Alyafeai, Zaid, Almubarak, Khalid, Ashraf, Ahmed, Alnuhait, Deema, Alshahrani, Saied, Abdulrahman, Gubran A. Q, Ahmed, Gamil, Gawah, Qais, Saleh, Zead, Ghaleb, Mustafa, Ali, Yousef, Al-Shaibani, Maged S

“…Instruction tuning has emerged as a prominent methodology for teaching Large Language Models (LLMs) to follow instructions. However, current instruction…”
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BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting by Yong, Zheng-Xin, Schoelkopf, Hailey, Muennighoff, Niklas, Aji, Alham Fikri, Adelani, David Ifeoluwa, Almubarak, Khalid, Bari, M Saiful, Sutawika, Lintang, Kasai, Jungo, Baruwa, Ahmed, Winata, Genta Indra, Biderman, Stella, Raff, Edward, Radev, Dragomir, Nikoulina, Vassilina

“…The BLOOM model is a large publicly available multilingual language model, but its pretraining was limited to 46 languages. To extend the benefits of BLOOM to…”
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Crosslingual Generalization through Multitask Finetuning by Muennighoff, Niklas, Wang, Thomas, Sutawika, Lintang, Roberts, Adam, Biderman, Stella, Scao, Teven Le, Bari, M Saiful, Shen, Sheng, Yong, Zheng-Xin, Schoelkopf, Hailey, Tang, Xiangru, Radev, Dragomir, Aji, Alham Fikri, Almubarak, Khalid, Albanie, Samuel, Alyafeai, Zaid, Webson, Albert, Raff, Edward, Raffel, Colin

“…Multitask prompted finetuning (MTF) has been shown to help large language models generalize to new tasks in a zero-shot setting, but so far explorations of MTF…”
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PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts by Bach, Stephen H, Sanh, Victor, Yong, Zheng-Xin, Webson, Albert, Raffel, Colin, Nayak, Nihal V, Sharma, Abheesht, Kim, Taewoon, Bari, M Saiful, Fevry, Thibault, Alyafeai, Zaid, Dey, Manan, Santilli, Andrea, Sun, Zhiqing, Ben-David, Srulik, Xu, Canwen, Chhablani, Gunjan, Wang, Han, Fries, Jason Alan, Al-shaibani, Maged S, Sharma, Shanya, Thakker, Urmish, Almubarak, Khalid, Tang, Xiangru, Radev, Dragomir, Jiang, Mike Tian-Jian, Rush, Alexander M

“…PromptSource is a system for creating, sharing, and using natural language prompts. Prompts are functions that map an example from a dataset to a natural…”
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The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset by Laurençon, Hugo, Saulnier, Lucile, Wang, Thomas, Akiki, Christopher, del Moral, Albert Villanova, Scao, Teven Le, Von Werra, Leandro, Mou, Chenghao, Ponferrada, Eduardo González, Nguyen, Huu, Frohberg, Jörg, Šaško, Mario, Lhoest, Quentin, McMillan-Major, Angelina, Dupont, Gerard, Biderman, Stella, Rogers, Anna, allal, Loubna Ben, De Toni, Francesco, Pistilli, Giada, Nguyen, Olivier, Nikpoor, Somaieh, Masoud, Maraim, Colombo, Pierre, de la Rosa, Javier, Villegas, Paulo, Thrush, Tristan, Longpre, Shayne, Nagel, Sebastian, Weber, Leon, Muñoz, Manuel, Zhu, Jian, Van Strien, Daniel, Alyafeai, Zaid, Almubarak, Khalid, Vu, Minh Chien, Gonzalez-Dios, Itziar, Soroa, Aitor, Lo, Kyle, Dey, Manan, Suarez, Pedro Ortiz, Gokaslan, Aaron, Bose, Shamik, Adelani, David, Phan, Long, Tran, Hieu, Yu, Ian, Pai, Suhas, Chim, Jenny, Lepercq, Violette, Ilic, Suzana, Mitchell, Margaret, Luccioni, Sasha Alexandra, Jernite, Yacine

“…As language models grow ever larger, the need for large-scale high-quality text datasets has never been more pressing, especially in multilingual settings. The…”
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