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of 51
pro vyhledávání: '"Dong, Hongyuan"'
Image captioning has long been regarded as a fundamental task in visual understanding. Recently, however, few large vision-language model (LVLM) research discusses model's image captioning performance because of the outdated short-caption benchmarks
Externí odkaz:
http://arxiv.org/abs/2405.19092
Autor:
Zhang, Yuan, Xiao, Fei, Huang, Tao, Fan, Chun-Kai, Dong, Hongyuan, Li, Jiawen, Wang, Jiacong, Cheng, Kuan, Zhang, Shanghang, Guo, Haoyuan
Large vision-language models (LVLMs) have recently achieved rapid progress, exhibiting great perception and reasoning abilities concerning visual information. However, when faced with prompts in different sizes of solution spaces, LVLMs fail to alway
Externí odkaz:
http://arxiv.org/abs/2405.14156
Prompting methods have shown impressive performance in a variety of text mining tasks and applications, especially few-shot ones. Despite the promising prospects, the performance of prompting model largely depends on the design of prompt template and
Externí odkaz:
http://arxiv.org/abs/2306.08892
Prompting method is regarded as one of the crucial progress for few-shot nature language processing. Recent research on prompting moves from discrete tokens based ``hard prompts'' to continuous ``soft prompts'', which employ learnable vectors as pseu
Externí odkaz:
http://arxiv.org/abs/2209.11486
Autor:
Shan, Xiao, Ji, Zemin, Wang, Baochen, Zhang, Yanan, Dong, Hongyuan, Jing, Weijia, Zhou, Yanzhao, Hu, Penghui, Cui, Yan, Li, Zihan, Yu, Sujun, Zhou, Jinxue, Wang, Ting, Shen, Long, Liu, Yuping, Yu, Qiujing
Publikováno v:
In Redox Biology December 2024 78
Cancer is a primary cause of human death, but discovering drugs and tailoring cancer therapies are expensive and time-consuming. We seek to facilitate the discovery of new drugs and treatment strategies for cancer using variational autoencoders (VAEs
Externí odkaz:
http://arxiv.org/abs/2008.09763
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