Zobrazeno 1 - 10
of 7 259
pro vyhledávání: '"A Kurdi"'
Publikováno v:
Materials Research Express, Vol 11, Iss 7, p 076518 (2024)
This study investigates solid-state diffusion bonding between two INCONEL 617 alloy samples using field-assisted sintering technology (FAST). The study focuses on analyzing the faying surface validating the theoretical alloy design modeling done by t
Externí odkaz:
https://doaj.org/article/1558f4d118b5429d9350867cee8865c3
Autor:
Safavi-Naini, Seyed Amir Ahmad, Ali, Shuhaib, Shahab, Omer, Shahhoseini, Zahra, Savage, Thomas, Rafiee, Sara, Samaan, Jamil S, Shabeeb, Reem Al, Ladak, Farah, Yang, Jamie O, Echavarria, Juan, Babar, Sumbal, Shaukat, Aasma, Margolis, Samuel, Tatonetti, Nicholas P, Nadkarni, Girish, Kurdi, Bara El, Soroush, Ali
Background and Aims: This study evaluates the medical reasoning performance of large language models (LLMs) and vision language models (VLMs) in gastroenterology. Methods: We used 300 gastroenterology board exam-style multiple-choice questions, 138 o
Externí odkaz:
http://arxiv.org/abs/2409.00084
Autor:
Bhattacharjee, Bishwaranjan, Trivedi, Aashka, Muraoka, Masayasu, Ramasubramanian, Muthukumaran, Udagawa, Takuma, Gurung, Iksha, Zhang, Rong, Dandala, Bharath, Ramachandran, Rahul, Maskey, Manil, Bugbee, Kaylin, Little, Mike, Fancher, Elizabeth, Sanders, Lauren, Costes, Sylvain, Blanco-Cuaresma, Sergi, Lockhart, Kelly, Allen, Thomas, Grezes, Felix, Ansdell, Megan, Accomazzi, Alberto, El-Kurdi, Yousef, Wertheimer, Davis, Pfitzmann, Birgit, Ramis, Cesar Berrospi, Dolfi, Michele, de Lima, Rafael Teixeira, Vagenas, Panagiotis, Mukkavilli, S. Karthik, Staar, Peter, Vahidinia, Sanaz, McGranaghan, Ryan, Mehrabian, Armin, Lee, Tsendgar
Large language models (LLMs) trained on general domain corpora showed remarkable results on natural language processing (NLP) tasks. However, previous research demonstrated LLMs trained using domain-focused corpora perform better on specialized tasks
Externí odkaz:
http://arxiv.org/abs/2405.10725
Publikováno v:
International Journal of Environment Sciences and Natural Resources. 2023; 32(2): 556334 (2023)
Nowadays, static, mobile, terrestrial, and airborne laser scanning technologies have become familiar data sources for engineering work, especially in the area of land surveying. The diversity of Light Detection and Ranging (LiDAR) data applications t
Externí odkaz:
http://arxiv.org/abs/2312.03254
Autor:
Lee, Young-Suk, Sultan, Md Arafat, El-Kurdi, Yousef, Munawar, Tahira Naseem Asim, Florian, Radu, Roukos, Salim, Astudillo, Ramón Fernandez
Publikováno v:
EMNLP 2023
Using in-context learning (ICL) for data generation, techniques such as Self-Instruct (Wang et al., 2023) or the follow-up Alpaca (Taori et al., 2023) can train strong conversational agents with only a small amount of human supervision. One limitatio
Externí odkaz:
http://arxiv.org/abs/2310.13961
Autor:
Kurdi, M. Zakaria
Objective: this study has a twofold goal. First, it aims to improve the understanding of the impact of Dementia of type Alzheimer's Disease (AD) on different aspects of the lexicon. Second, it aims to demonstrate that such aspects of the lexicon, whe
Externí odkaz:
http://arxiv.org/abs/2307.08070
Autor:
Borst, M., Vree, P. H., Lowther, A., Teepe, A., Kurdi, S., Bertelli, I., Simon, B. G., Blanter, Y. M., van der Sar, T.
Publikováno v:
Science 382, 430-434 (2023)
Superconductors are materials with zero electrical resistivity and the ability to expel magnetic fields known as the Meissner effect. Their dissipationless diamagnetic response is central to magnetic levitation and circuits such as quantum interferen
Externí odkaz:
http://arxiv.org/abs/2307.07581
Autor:
Ghiasi, Talieh S., Borst, Michael, Kurdi, Samer, Simon, Brecht G., Bertelli, Iacopo, Boix-Constant, Carla, Mañas-Valero, Samuel, van der Zant, Herre S. J., van der Sar, Toeno
Publikováno v:
npj 2D Materials and Applications (2023)
Magnetic imaging using nitrogen-vacancy (NV) spins in diamonds is a powerful technique for acquiring quantitative information about sub-micron scale magnetic order. A major challenge for its application in the research on two-dimensional (2D) magnets
Externí odkaz:
http://arxiv.org/abs/2307.01129
Publikováno v:
2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
Online reviews have become essential for users to make informed decisions in everyday tasks ranging from planning summer vacations to purchasing groceries and making financial investments. A key problem in using online reviews is the overabundance of
Externí odkaz:
http://arxiv.org/abs/2305.04836
Autor:
Trivedi, Aashka, Udagawa, Takuma, Merler, Michele, Panda, Rameswar, El-Kurdi, Yousef, Bhattacharjee, Bishwaranjan
Large pretrained language models have achieved state-of-the-art results on a variety of downstream tasks. Knowledge Distillation (KD) into a smaller student model addresses their inefficiency, allowing for deployment in resource-constrained environme
Externí odkaz:
http://arxiv.org/abs/2303.09639