Zobrazeno 1 - 10
of 1 293
pro vyhledávání: '"Zhang, XiaoFan"'
Overlay is an effective approach for creating FPGA-based AI accelerators, enabling software-programmable specialized hardware datapaths to flexibly support various DNN operations. Traditional DNN overlays typically base their instruction set design o
Externí odkaz:
http://arxiv.org/abs/2411.17966
Recent advancements in medical vision-language pre-training models have driven significant progress in zero-shot disease recognition. However, transferring image-level knowledge to pixel-level tasks, such as lesion segmentation in 3D CT scans, remain
Externí odkaz:
http://arxiv.org/abs/2410.15744
Diffusion models have achieved significant success in both the natural image and medical image domains, encompassing a wide range of applications. Previous investigations in medical images have often been constrained to specific anatomical regions, p
Externí odkaz:
http://arxiv.org/abs/2410.15432
Integrating tools into Large Language Models (LLMs) has facilitated the widespread application. Despite this, in specialized downstream task contexts, reliance solely on tools is insufficient to fully address the complexities of the real world. This
Externí odkaz:
http://arxiv.org/abs/2410.13610
Autor:
Chen, Huadong, Fletcher, Lyndsay, Zhou, Guiping, Cheng, Xin, Wang, Ya, Mulay, Sargam, Zheng, Ruisheng, Ma, Suli, Zhang, Xiaofan
We investigated two consecutive solar eruption events in the solar active region (AR) 12994 at the solar eastern limb on 2022 April 15. We found that the flare loops formed by the first eruption were involved in the second eruption. During the initia
Externí odkaz:
http://arxiv.org/abs/2410.12202
Breast cancer is a highly fatal disease among cancers in women, and early detection is crucial for treatment. HER2 status, a valuable diagnostic marker based on Immunohistochemistry (IHC) staining, is instrumental in determining breast cancer status.
Externí odkaz:
http://arxiv.org/abs/2409.00649
Autor:
Wu, Kun, Park, Jeongmin Brian, Zhang, Xiaofan, Hidayetoğlu, Mert, Mailthody, Vikram Sharma, Huang, Sitao, Lumetta, Steven Sam, Hwu, Wen-mei
The growth rate of the GPU memory capacity has not been able to keep up with that of the size of large language models (LLMs), hindering the model training process. In particular, activations -- the intermediate tensors produced during forward propag
Externí odkaz:
http://arxiv.org/abs/2408.10013
Autor:
Liu, Mianxin, Ding, Jinru, Xu, Jie, Hu, Weiguo, Li, Xiaoyang, Zhu, Lifeng, Bai, Zhian, Shi, Xiaoming, Wang, Benyou, Song, Haitao, Liu, Pengfei, Zhang, Xiaofan, Wang, Shanshan, Li, Kang, Wang, Haofen, Ruan, Tong, Huang, Xuanjing, Sun, Xin, Zhang, Shaoting
Ensuring the general efficacy and goodness for human beings from medical large language models (LLM) before real-world deployment is crucial. However, a widely accepted and accessible evaluation process for medical LLM, especially in the Chinese cont
Externí odkaz:
http://arxiv.org/abs/2407.10990
Numerous advanced Large Language Models (LLMs) now support context lengths up to 128K, and some extend to 200K. Some benchmarks in the generic domain have also followed up on evaluating long-context capabilities. In the medical domain, tasks are dist
Externí odkaz:
http://arxiv.org/abs/2406.15019
Autor:
Huang, Yingbing, Wan, Lily Jiaxin, Ye, Hanchen, Jha, Manvi, Wang, Jinghua, Li, Yuhong, Zhang, Xiaofan, Chen, Deming
Large Language Models (LLMs) have become extremely potent instruments with exceptional capacities for comprehending and producing human-like text in a wide range of applications. However, the increasing size and complexity of LLMs present significant
Externí odkaz:
http://arxiv.org/abs/2406.10903