Zobrazeno 1 - 10
of 2 202
pro vyhledávání: '"WANG Zhaoyang"'
Autor:
Wang, Zhaoyang, He, Weilei, Liang, Zhiyuan, Zhang, Xuchao, Bansal, Chetan, Wei, Ying, Zhang, Weitong, Yao, Huaxiu
Recent self-rewarding large language models (LLM) have successfully applied LLM-as-a-Judge to iteratively improve the alignment performance without the need of human annotations for preference data. These methods commonly utilize the same LLM to act
Externí odkaz:
http://arxiv.org/abs/2410.12735
Autor:
Xia, Peng, Han, Siwei, Qiu, Shi, Zhou, Yiyang, Wang, Zhaoyang, Zheng, Wenhao, Chen, Zhaorun, Cui, Chenhang, Ding, Mingyu, Li, Linjie, Wang, Lijuan, Yao, Huaxiu
Interleaved multimodal comprehension and generation, enabling models to produce and interpret both images and text in arbitrary sequences, have become a pivotal area in multimodal learning. Despite significant advancements, the evaluation of this cap
Externí odkaz:
http://arxiv.org/abs/2410.10139
Autor:
Wang, Zhaoyang, Lin, Ping
This work is concerned with fractional stochastic differential equations with different scales. We establish the existence and uniqueness of solutions for Caputo fractional stochastic differential systems under the non-Lipschitz condition. Based on t
Externí odkaz:
http://arxiv.org/abs/2409.14728
Autor:
Xia, Peng, Chen, Ze, Tian, Juanxi, Gong, Yangrui, Hou, Ruibo, Xu, Yue, Wu, Zhenbang, Fan, Zhiyuan, Zhou, Yiyang, Zhu, Kangyu, Zheng, Wenhao, Wang, Zhaoyang, Wang, Xiao, Zhang, Xuchao, Bansal, Chetan, Niethammer, Marc, Huang, Junzhou, Zhu, Hongtu, Li, Yun, Sun, Jimeng, Ge, Zongyuan, Li, Gang, Zou, James, Yao, Huaxiu
Artificial intelligence has significantly impacted medical applications, particularly with the advent of Medical Large Vision Language Models (Med-LVLMs), sparking optimism for the future of automated and personalized healthcare. However, the trustwo
Externí odkaz:
http://arxiv.org/abs/2406.06007
Autor:
Wang, Xiyao, Chen, Jiuhai, Wang, Zhaoyang, Zhou, Yuhang, Zhou, Yiyang, Yao, Huaxiu, Zhou, Tianyi, Goldstein, Tom, Bhatia, Parminder, Huang, Furong, Xiao, Cao
Large vision-language models (LVLMs) have achieved impressive results in various visual question-answering and reasoning tasks through vision instruction tuning on specific datasets. However, there is still significant room for improvement in the ali
Externí odkaz:
http://arxiv.org/abs/2405.15973
Autor:
Zhang, Yuyang, Wang, Lisheng, Wu, Weijie, Wang, Zhaoyang, Sun, Fei, Jiang, He, Zhang, Bangmin, Zheng, Yue
Broadband spectrum detectors exhibit great promise in fields such as multispectral imaging and optical communications. Despite significant progress, challenges like materials instability, complex manufacturing process and high costs still hinder furt
Externí odkaz:
http://arxiv.org/abs/2405.13702
Topological orders emerge in both microscopic quantum dynamics and macroscopic materials as a fundamental principle to characterize intricate properties in nature with vital significance, for instance, the Landau levels of electron systems in magneti
Externí odkaz:
http://arxiv.org/abs/2405.09456
Existing hyperspectral image (HSI) super-resolution (SR) methods struggle to effectively capture the complex spectral-spatial relationships and low-level details, while diffusion models represent a promising generative model known for their exception
Externí odkaz:
http://arxiv.org/abs/2402.17285
Existing free-energy guided No-Reference Image Quality Assessment (NR-IQA) methods still suffer from finding a balance between learning feature information at the pixel level of the image and capturing high-level feature information and the efficient
Externí odkaz:
http://arxiv.org/abs/2402.14401
Autor:
Lin, Xiao-Fan, Zhou, Wei, Huang, Sirui, Huang, Huijuan, Huang, Xiyu, Wang, Zhaoyang, Zhou, Yue, Wang, Jing, Xian, Xiaoqing, Li, Weiyi, Liang, Zhong-Mei
Publikováno v:
Educational Technology & Society, 2024 Apr 01. 27(2), 43-59.
Externí odkaz:
https://www.jstor.org/stable/48766162
