Zobrazeno 1 - 10
of 51 282
pro vyhledávání: '"Li Zhang"'
Autor:
Yang, Liu, Paischer, Fabian, Hassani, Kaveh, Li, Jiacheng, Shao, Shuai, Li, Zhang Gabriel, He, Yun, Feng, Xue, Noorshams, Nima, Park, Sem, Long, Bo, Nowak, Robert D, Gao, Xiaoli, Eghbalzadeh, Hamid
Sequential dense retrieval models utilize advanced sequence learning techniques to compute item and user representations, which are then used to rank relevant items for a user through inner product computation between the user and all item representa
Externí odkaz:
http://arxiv.org/abs/2411.18814
Autor:
Wang, Song, Wang, Xun, Mei, Jie, Xie, Yujia, Muarray, Sean, Li, Zhang, Wu, Lingfeng, Chen, Si-Qing, Xiong, Wayne
Hallucination, a phenomenon where large language models (LLMs) produce output that is factually incorrect or unrelated to the input, is a major challenge for LLM applications that require accuracy and dependability. In this paper, we introduce a reli
Externí odkaz:
http://arxiv.org/abs/2407.15441
While large multi-modal models (LMM) have shown notable progress in multi-modal tasks, their capabilities in tasks involving dense textual content remains to be fully explored. Dense text, which carries important information, is often found in docume
Externí odkaz:
http://arxiv.org/abs/2405.06706
Optical-SAR image matching is a fundamental task for image fusion and visual navigation. However, all large-scale open SAR dataset for methods development are collected from single platform, resulting in limited satellite types and spatial resolution
Externí odkaz:
http://arxiv.org/abs/2404.00838
We present TextMonkey, a large multimodal model (LMM) tailored for text-centric tasks. Our approach introduces enhancement across several dimensions: By adopting Shifted Window Attention with zero-initialization, we achieve cross-window connectivity
Externí odkaz:
http://arxiv.org/abs/2403.04473
Autor:
Li, Zhang, Yang, Biao, Liu, Qiang, Ma, Zhiyin, Zhang, Shuo, Yang, Jingxu, Sun, Yabo, Liu, Yuliang, Bai, Xiang
Large Multimodal Models (LMMs) have shown promise in vision-language tasks but struggle with high-resolution input and detailed scene understanding. Addressing these challenges, we introduce Monkey to enhance LMM capabilities. Firstly, Monkey process
Externí odkaz:
http://arxiv.org/abs/2311.06607
Publikováno v:
Leida xuebao, Vol 13, Iss 6, Pp 1135-1156 (2024)
To reduce the large over-the-horizon localization errors of long-range shortwave emitter, a novel cooperative positioning method is proposed. This method combines two-Dimensional (2D) Direction-Of-Arrival (DOA) and Time-Difference-Of-Arrival (TDOA) m
Externí odkaz:
https://doaj.org/article/78416586be1547fbbcc3a0cbba69bc83
Publikováno v:
Shipin gongye ke-ji, Vol 45, Iss 24, Pp 371-376 (2024)
To study the effects of the composite beverage containing Codonopsis pilosula, Astragalus membranaceus, Poria cocos on hypolipidemic effects and fatty liver damage in hyperlipidemic rats, 48 adult male rats were randomly divided into 6 groups, with 8
Externí odkaz:
https://doaj.org/article/7ec3116154cd478a971ca50824919b3b
Publikováno v:
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Background Spontaneous coronary artery dissection (SCAD) is a significant cause of non-atherosclerotic acute coronary syndrome, myocardial infarction, and sudden cardiac death. Women account for 87–95% of SCAD patients, with the average ag
Externí odkaz:
https://doaj.org/article/61f10ff57bfa4ae7bdb942cdb83fdf76