Zobrazeno 1 - 10
of 816
pro vyhledávání: '"LIU Ziqiang"'
Publikováno v:
Guoji Yanke Zazhi, Vol 24, Iss 10, Pp 1536-1541 (2024)
AIM: To observe the early retinal degeneration and activation of microglia in C57BL/6N(Crb1rd8/rd8)mice.METHODS:Totally 15 male SPF C57BL/6N mice and 15 male SPF C57BL/6J mice were raised normally, and fundus photography examinations were performed b
Externí odkaz:
https://doaj.org/article/87207a9c497b4ed5be13d2ed88ab3244
Publikováno v:
Guoji Yanke Zazhi, Vol 24, Iss 7, Pp 1106-1113 (2024)
AIM:To systematically evaluate the changes in retinal and choroidal thickness in patients with internal carotid artery stenosis by using optical coherence tomography(OCT)through Meta-analysis.METHODS: Literatures on the measurement of retinal and cho
Externí odkaz:
https://doaj.org/article/1ba5bbce75a247ddbccb8efcd77503c8
Autor:
Liu Ziqiang, Jie Chuanhong, Wang Jianwei, Hou Xiaoyu, Li Yuanyuan, Wang Jingying, Zhang Weiqiong
Publikováno v:
Guoji Yanke Zazhi, Vol 24, Iss 6, Pp 930-936 (2024)
AIM: To explore retinal microvascular changes in migraine patients using meta-analysis.METHODS: The National Library of Medicine PubMed, Embase, and Cochrane Library were searched to find relevant studies, and the search period was from the creation
Externí odkaz:
https://doaj.org/article/a06053d15b8b4501b1ddc7562c82d3cc
Autor:
Zhang, Chenhao, Feng, Xi, Bai, Yuelin, Du, Xinrun, Hou, Jinchang, Deng, Kaixin, Han, Guangzeng, Li, Qinrui, Wang, Bingli, Liu, Jiaheng, Qu, Xingwei, Zhang, Yifei, Zhao, Qixuan, Liang, Yiming, Liu, Ziqiang, Fang, Feiteng, Yang, Min, Huang, Wenhao, Lin, Chenghua, Zhang, Ge, Ni, Shiwen
As the capabilities of Multimodal Large Language Models (MLLMs) continue to improve, the need for higher-order capability evaluation of MLLMs is increasing. However, there is a lack of work evaluating MLLM for higher-order perception and understandin
Externí odkaz:
http://arxiv.org/abs/2410.13854
Autor:
Li, Jiaming, Zhang, Lei, Li, Yunshui, Liu, Ziqiang, bai, yuelin, Luo, Run, Chen, Longze, Yang, Min
The instruction-following ability of large language models enables humans to interact with AI agents in a natural way. However, when required to generate responses of a specific length, large language models often struggle to meet users' needs due to
Externí odkaz:
http://arxiv.org/abs/2409.18943
Autor:
Chen, Guhong, Fan, Liyang, Gong, Zihan, Xie, Nan, Li, Zixuan, Liu, Ziqiang, Li, Chengming, Qu, Qiang, Ni, Shiwen, Yang, Min
In this paper, we present a simulation system called AgentCourt that simulates the entire courtroom process. The judge, plaintiff's lawyer, defense lawyer, and other participants are autonomous agents driven by large language models (LLMs). Our core
Externí odkaz:
http://arxiv.org/abs/2408.08089
Autor:
Liu, Ziqiang, Fang, Feiteng, Feng, Xi, Du, Xinrun, Zhang, Chenhao, Wang, Zekun, Bai, Yuelin, Zhao, Qixuan, Fan, Liyang, Gan, Chengguang, Lin, Hongquan, Li, Jiaming, Ni, Yuansheng, Wu, Haihong, Narsupalli, Yaswanth, Zheng, Zhigang, Li, Chengming, Hu, Xiping, Xu, Ruifeng, Chen, Xiaojun, Yang, Min, Liu, Jiaheng, Liu, Ruibo, Huang, Wenhao, Zhang, Ge, Ni, Shiwen
The rapid advancements in the development of multimodal large language models (MLLMs) have consistently led to new breakthroughs on various benchmarks. In response, numerous challenging and comprehensive benchmarks have been proposed to more accurate
Externí odkaz:
http://arxiv.org/abs/2406.05862
Long-context modeling capabilities are important for large language models (LLMs) in various applications. However, directly training LLMs with long context windows is insufficient to enhance this capability since some training samples do not exhibit
Externí odkaz:
http://arxiv.org/abs/2405.17915
Autor:
Luo, Run, Li, Yunshui, Chen, Longze, He, Wanwei, Lin, Ting-En, Liu, Ziqiang, Zhang, Lei, Song, Zikai, Xia, Xiaobo, Liu, Tongliang, Yang, Min, Hui, Binyuan
The development of large language models (LLMs) has significantly advanced the emergence of large multimodal models (LMMs). While LMMs have achieved tremendous success by promoting the synergy between multimodal comprehension and creation, they often
Externí odkaz:
http://arxiv.org/abs/2405.15232
Publikováno v:
EPJC, 84, 444 (2024)
In this work, we studied four types of cosmological models with different mechanisms driving the accelerated expansion of the universe, include Braneworld models, Chaplygin Gas models, Emergent Dark Energy models, and cosmological torsion models. Con
Externí odkaz:
http://arxiv.org/abs/2404.10794