Zobrazeno 1 - 10
of 11 241
pro vyhledávání: '"Qiyuan An"'
Publikováno v:
Journal of Fungi, Vol 10, Iss 3, p 213 (2024)
Candida albicans is a clinically significant opportunistic fungus that is generally treated with antifungal drugs such as itraconazole and fluconazole. However, the recent emergence of fungal resistance has made treatment increasingly difficult. Ther
Externí odkaz:
https://doaj.org/article/4068f4a3ce794d40963689ca554b9c51
Publikováno v:
The Astrophysical Journal Supplement Series. Published 2024 July 31
With the continuous development of large optical surveys, a large number of light curves of late-type contact binary systems (CBs) have been released. Deriving parameters for CBs using the the WD program and the PHOEBE program poses a challenge. Ther
Externí odkaz:
http://arxiv.org/abs/2408.04896
Despite the remarkable ability of large vision-language models (LVLMs) in image comprehension, these models frequently generate plausible yet factually incorrect responses, a phenomenon known as hallucination.Recently, in large language models (LLMs)
Externí odkaz:
http://arxiv.org/abs/2408.00555
Autor:
Ingale, Kshitij, Hong, Sun Hae, Hu, Qiyuan, Zhang, Renyu, Osinski, Bo, Khoshdeli, Mina, Och, Josh, Nagpal, Kunal, Stumpe, Martin C., Joshi, Rohan P.
Molecular testing of tumor samples for targetable biomarkers is restricted by a lack of standardization, turnaround-time, cost, and tissue availability across cancer types. Additionally, targetable alterations of low prevalence may not be tested in r
Externí odkaz:
http://arxiv.org/abs/2407.15816
On-device large language models (LLMs), referring to running LLMs on edge devices, have raised considerable interest owing to their superior privacy, reduced latency, and bandwidth saving. Nonetheless, the capabilities of on-device LLMs are intrinsic
Externí odkaz:
http://arxiv.org/abs/2407.18921
Solving symmetric positive semidefinite linear systems is an essential task in many scientific computing problems. While Jacobi-type methods, including the classical Jacobi method and the weighted Jacobi method, exhibit simplicity in their forms and
Externí odkaz:
http://arxiv.org/abs/2407.03272
Comprehensively understanding and accurately predicting the performance of large language models across diverse downstream tasks has emerged as a pivotal challenge in NLP research. The pioneering scaling law on downstream works demonstrated intrinsic
Externí odkaz:
http://arxiv.org/abs/2407.01300
We investigate the behavior of heat conduction in two-dimensional (2D) electron gases without and with a magnetic field. We perform simulations with the Multi-Particle-Collision approach, suitably adapted to account for the Lorenz force acting on the
Externí odkaz:
http://arxiv.org/abs/2406.16067
Autor:
Li, Ziyu, Li, Zihan, Li, Haoxiang, Fan, Qiuyun, Miller, Karla L., Wu, Wenchuan, Chaudhari, Akshay S., Tian, Qiyuan
This chapter provides an overview of deep learning techniques for improving the spatial resolution of MRI, ranging from convolutional neural networks, generative adversarial networks, to more advanced models including transformers, diffusion models,
Externí odkaz:
http://arxiv.org/abs/2406.13625
With the rapid growth of multimedia data volume, there is an increasing need for efficient video transmission in applications such as virtual reality and future video streaming services. Semantic communication is emerging as a vital technique for ens
Externí odkaz:
http://arxiv.org/abs/2406.10469