Zobrazeno 1 - 10
of 483
pro vyhledávání: '"Arakkal A"'
Autor:
Ramamurthy, Rajkumar, Rajeev, Meghana Arakkal, Molenschot, Oliver, Zou, James, Rajani, Nazneen
Large language models (LLMs) often fail to synthesize information from their context to generate an accurate response. This renders them unreliable in knowledge intensive settings where reliability of the output is key. A critical component for relia
Externí odkaz:
http://arxiv.org/abs/2411.03300
Autor:
Trivedi, Prapti, Gulati, Aditya, Molenschot, Oliver, Rajeev, Meghana Arakkal, Ramamurthy, Rajkumar, Stevens, Keith, Chaudhery, Tanveesh Singh, Jambholkar, Jahnavi, Zou, James, Rajani, Nazneen
LLM-as-a-judge models have been used for evaluating both human and AI generated content, specifically by providing scores and rationales. Rationales, in addition to increasing transparency, help models learn to calibrate its judgments. Enhancing a mo
Externí odkaz:
http://arxiv.org/abs/2410.05495
Autor:
Radtke, Andrea J., Anidi, Ifeanyichukwu, Arakkal, Leanne, Arroyo-Mejias, Armando, Beuschel, Rebecca T., Borner, Katy, Chu, Colin J., Clark, Beatrice, Clatworthy, Menna R., Colautti, Jake, Croteau, Joshua, Denha, Saven, Dever, Rose, Dutra, Walderez O., Fritzsche, Sonja, Fullam, Spencer, Gerner, Michael Y., Gola, Anita, Gollob, Kenneth J., Hernandez, Jonathan M., Hor, Jyh Liang, Ichise, Hiroshi, Jing, Zhixin, Jonigk, Danny, Kandov, Evelyn, Kastenmueller, Wolfgang, Koenig, Joshua F. E., Kothurkar, Aanandita, Kreins, Alexandra Y., Lamborn, Ian, Lin, Yuri, Morais, Katia Luciano Pereira, Lunich, Aleksandra, Luz, Jean C. S., MacDonald, Ryan B., Makranz, Chen, Maltez, Vivien I., Moriaty, Ryan V., Ocampo-Godinez, Juan M., Olyntho, Vitoria M., Padhan, Kartika, Remmert, Kirsten, Richoz, Nathan, Schrom, Edward C., Shang, Wanjing, Shi, Lihong, Shih, Rochelle M., Speranza, Emily, Stierli, Salome, Teichmann, Sarah A., Veres, Tibor Z., Vierhout, Megan, Wachter, Brianna T., Wade-Vallance, Adam K., Williams, Margaret, Zangger, Nathan, Germain, Ronald N., Yaniv, Ziv
Iterative Bleaching Extends multipleXity (IBEX) is a versatile method for highly multiplexed imaging of diverse tissues. Based on open science principles, we created the IBEX Knowledge-Base, a resource for reagents, protocols and more, to empower inn
Externí odkaz:
http://arxiv.org/abs/2407.19059
Autor:
Shabna Sulaiman, Arun N. Bhatt, Nalakath Arakkal Uvais, Benil Hafeeq, K. P Miswana Anoop, Ranjit Narayanan
Publikováno v:
Indian Journal of Transplantation, Vol 18, Iss 3, Pp 262-266 (2024)
Introduction: Urinary tract infections (UTIs) are the most prevalent bacterial infections among kidney transplant recipients, having implications for graft function, hospitalization and adds substantially to cost of posttransplant management. Mater
Externí odkaz:
https://doaj.org/article/604df8591a9c4400a3dc47ea5f5854b1
Publikováno v:
Clinical Dermatology Review, Vol 8, Iss 1, Pp 63-66 (2024)
Kikuchi–Fujimoto disease (KFD) is a benign self-limiting condition characterized by fever and necrotizing lymphadenitis commonly reported in adults, especially females, and rarely in males and children. The disease can be mistaken for lymphoma or s
Externí odkaz:
https://doaj.org/article/f8aaa691b4a7467992e7d2c6f68fe8ae
Autor:
Arakkal Vettath, Mohamed Rahoof1 mohddrrahoof@gmail.com, Alshehri, Yousef1, Alshehri, Faisal S.1, Alyeezadi, Mazen1, Kumar, Pavan1, Almuthhin, Muthhin1, Alzahrani, Eman I.1, Alruwaili, Rola H. Gadoe1
Publikováno v:
Journal of Pharmacy & Bioallied Sciences. 2024 Supplement, Vol. 16, pS1863-S1866. 4p.
Publikováno v:
Journal of Gastrointestinal and Abdominal Radiology, Vol 06, Iss 02, Pp 154-157 (2023)
Choledochal cyst (CDC) is a rare surgical cause of cholestatic jaundice in infants. Spontaneous rupture is an unusual presentation of a previously undiagnosed CDC and is also a rare cause of biliary peritonitis in children. Here, we report a case of
Externí odkaz:
https://doaj.org/article/8d4bf8208e2b4e7ebb872acac3014a8a
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-18 (2023)
Abstract Background The incidence of diagnostic delays is unknown for many diseases and specific healthcare settings. Many existing methods to identify diagnostic delays are resource intensive or difficult to apply to different diseases or settings.
Externí odkaz:
https://doaj.org/article/173eb3fff48045ccb59a2cb60cb4f940
Publikováno v:
In Saudi Journal of Biological Sciences December 2023 30(12)
Publikováno v:
Industrial Psychiatry Journal, Vol 33, Iss 1, Pp 189-190 (2024)
Externí odkaz:
https://doaj.org/article/787fc9e193b54cb9bab159ab9e2823fc