Zobrazeno 1 - 10
of 1 655
pro vyhledávání: '"Gao Tingting"'
Autor:
LIU Jianjun, ZHENG Wenkai, GAO Tingting, WANG Jianghong, REN Yanjun, LIU Jianguo, LIU Changlin
Publikováno v:
Zhongguo linchuang yanjiu, Vol 36, Iss 12, Pp 1875-1880 (2023)
At pressent, there are many controversies in China about the recommendations in Diagnosis, Evaluation, and Management of Ascites, Spontaneous Bacterial Peritonitis and Hepatorenal Syndrome (hereinafter referred to as the “Guidelines”) revised in
Externí odkaz:
https://doaj.org/article/41d20f2d97e24a34a180b1fa3b26737c
Autor:
Lu, Xingyu, Hu, Yuhang, Liu, Changyi, Zhang, Tianke, Yang, Zhenyu, Ding, Zhixiang, Qian, Shengsheng, Du, Meng, Kang, Ruiwen, Tang, Kaiyu, Yang, Fan, Gao, Tingting, Zhang, Di, Zheng, Hai-Tao, Wen, Bin
Mathematical reasoning presents a significant challenge to the cognitive capabilities of LLMs. Various methods have been proposed to enhance the mathematical ability of LLMs. However, few recognize the value of state transition for LLM reasoning. In
Externí odkaz:
http://arxiv.org/abs/2411.04799
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
Based on 454 articles related to college students' entrepreneurial intention in the Web of Science Core Collection, this study explores the hotspots and trends of international research on college students' entrepreneurial intention by using a combin
Externí odkaz:
https://doaj.org/article/af4e1f5c1df544fea9931a484f9d593e
Interleaved image-text generation has emerged as a crucial multimodal task, aiming at creating sequences of interleaved visual and textual content given a query. Despite notable advancements in recent multimodal large language models (MLLMs), generat
Externí odkaz:
http://arxiv.org/abs/2406.10462
Current metrics for text-to-image models typically rely on statistical metrics which inadequately represent the real preference of humans. Although recent work attempts to learn these preferences via human annotated images, they reduce the rich tapes
Externí odkaz:
http://arxiv.org/abs/2405.14705
Optimization-based approaches, such as score distillation sampling (SDS), show promise in zero-shot 3D generation but suffer from low efficiency, primarily due to the high number of function evaluations (NFEs) required for each sample and the limitat
Externí odkaz:
http://arxiv.org/abs/2404.19525
Autor:
Wu, Weijia, Li, Zhuang, Gu, Yuchao, Zhao, Rui, He, Yefei, Zhang, David Junhao, Shou, Mike Zheng, Li, Yan, Gao, Tingting, Zhang, Di
We introduce DragAnything, which utilizes a entity representation to achieve motion control for any object in controllable video generation. Comparison to existing motion control methods, DragAnything offers several advantages. Firstly, trajectory-ba
Externí odkaz:
http://arxiv.org/abs/2403.07420
Autor:
Shen, Cuifeng, Gan, Yulu, Chen, Chen, Zhu, Xiongwei, Cheng, Lele, Gao, Tingting, Wang, Jinzhi
The goal of conditional image-to-video (cI2V) generation is to create a believable new video by beginning with the condition, i.e., one image and text.The previous cI2V generation methods conventionally perform in RGB pixel space, with limitations in
Externí odkaz:
http://arxiv.org/abs/2311.14294
Autor:
Wu, Weijia, Li, Zhuang, He, Yefei, Shou, Mike Zheng, Shen, Chunhua, Cheng, Lele, Li, Yan, Gao, Tingting, Zhang, Di, Wang, Zhongyuan
Text-to-image (T2I) models have recently experienced rapid development, achieving astonishing performance in terms of fidelity and textual alignment capabilities. However, given a long paragraph (up to 512 words), these generation models still strugg
Externí odkaz:
http://arxiv.org/abs/2311.14284
Autor:
Gao, Tingting1 (AUTHOR) gaotingting@sxmu.edu.cn, Gu, Ruiyuan1 (AUTHOR) gry1997@outlook.com, Wang, Heng1,2 (AUTHOR) wangheng7015@mails.jlu.edu.cn, Li, Lizheng1 (AUTHOR) lilizheng@sxmu.edu.cn, Zhang, Bojin3 (AUTHOR) zhangboj90@126.com, Hu, Jie1 (AUTHOR) hujie_2001@126.com, Tian, Qinqin1 (AUTHOR) tianqinqin_1225@163.com, Chang, Runze1 (AUTHOR) changrunze1@sxmu.edu.cn, Zhang, Ruijing1 (AUTHOR) zhangruijing@sxmu.edu.cn, Zheng, Guoping2 (AUTHOR) guoping.zheng@sydney.edu.au, Dong, Honglin1 (AUTHOR) guoping.zheng@sydney.edu.au
Publikováno v:
International Journal of Molecular Sciences. Oct2024, Vol. 25 Issue 20, p11110. 14p.