Zobrazeno 1 - 10
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pro vyhledávání: '"Wu, Jiaxin"'
This paper addresses the need for improved precision in existing Retrieval-Augmented Generation (RAG) methods that primarily focus on enhancing recall. We propose a multi-layer knowledge pyramid approach within the RAG framework to achieve a better b
Externí odkaz:
http://arxiv.org/abs/2407.21276
Autor:
Zhang, Tianyi, Zhang, Wengyu, Zhang, Xulu, Wu, Jiaxin, Wei, Xiao-Yong, Cao, Jiannong, Li, Qing
Accurate human localization is crucial for various applications, especially in the Metaverse era. Existing high precision solutions rely on expensive, tag-dependent hardware, while vision-based methods offer a cheaper, tag-free alternative. However,
Externí odkaz:
http://arxiv.org/abs/2407.20870
Text-to-video retrieval answers user queries through search by concepts and embeddings. Limited by the size of the concept bank and the amount of training data, answering queries in the wild is not always effective due to the out-of-vocabulary proble
Externí odkaz:
http://arxiv.org/abs/2407.12341
Large Language Models (LLMs) show promise for natural language generation in healthcare, but risk hallucinating factually incorrect information. Deploying LLMs for medical question answering necessitates reliable uncertainty estimation (UE) methods t
Externí odkaz:
http://arxiv.org/abs/2407.08662
Identifying and managing high-emitters among heavy-duty diesel vehicles is a key to mitigating urban air pollution, as a small number of such vehicles could contribute a significant amount of total transport emissions. On-board monitoring (OBM) syste
Externí odkaz:
http://arxiv.org/abs/2404.10243
Aligning a user query and video clips in cross-modal latent space and that with semantic concepts are two mainstream approaches for ad-hoc video search (AVS). However, the effectiveness of existing approaches is bottlenecked by the small sizes of ava
Externí odkaz:
http://arxiv.org/abs/2404.06173
Autor:
Wu, Jiaxin, Ngo, Chong-Wah
Answering query with semantic concepts has long been the mainstream approach for video search. Until recently, its performance is surpassed by concept-free approach, which embeds queries in a joint space as videos. Nevertheless, the embedded features
Externí odkaz:
http://arxiv.org/abs/2402.11812
The reconstruction and prediction of full-state flows from sparse data are of great scientific and engineering significance yet remain challenging, especially in applications where data are sparse and/or subjected to noise. To this end, this study pr
Externí odkaz:
http://arxiv.org/abs/2306.11969
Publikováno v:
Zhongguo quanke yixue, Vol 27, Iss 14, Pp 1672-1677 (2024)
Background Due to its unique advantages, virtual reality rehabilitation (VR) training has been widely used in the field of rehabilitation therapy, but there is a lack of study on its application efficacy in patients with sudden deafness and vertigo.
Externí odkaz:
https://doaj.org/article/a277a2af82a7458a90a2f82bbc6eae1a
Autor:
Wu, Jiaxin1 221010030@hdu.edu.cn, Wu, Liqun1, Wang, Zeen1, Liu, Haiping1, Wang, Yaxing1, Wang, Hongcheng1, Zhang, Linan1, Zhuang, Long1
Publikováno v:
Scientific Reports. 8/21/2024, Vol. 14 Issue 1, p1-10. 10p.