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Akademický článek
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Autor:
Wang, Bin, Xu, Chao, Zhao, Xiaomeng, Ouyang, Linke, Wu, Fan, Zhao, Zhiyuan, Xu, Rui, Liu, Kaiwen, Qu, Yuan, Shang, Fukai, Zhang, Bo, Wei, Liqun, Sui, Zhihao, Li, Wei, Shi, Botian, Qiao, Yu, Lin, Dahua, He, Conghui
Document content analysis has been a crucial research area in computer vision. Despite significant advancements in methods such as OCR, layout detection, and formula recognition, existing open-source solutions struggle to consistently deliver high-qu
Externí odkaz:
http://arxiv.org/abs/2409.18839
Pre-training language models followed by fine-tuning on specific tasks is standard in NLP, but traditional models often underperform when applied to the medical domain, leading to the development of specialized medical pre-trained language models (Me
Externí odkaz:
http://arxiv.org/abs/2409.10570
Recently, theoretical studies on the bumblebee gravity model, a nonminimally-coupled vector-tensor theory that violates the Lorentz symmetry, have flourished, with a simultaneous increase in the utilization of observations to impose constraints. The
Externí odkaz:
http://arxiv.org/abs/2409.04805
Graphene has garnered significant attention due to its unique properties. Among its many intriguing characteristics, the tuning effects induced by adsorbed atoms (adatoms) provide immense potential for the design of graphene-based electronic devices.
Externí odkaz:
http://arxiv.org/abs/2409.00669
Autor:
XU RUI
This repository saves the GNSS position time series and associated command files related to the manuscript submitted to the journal Scientific Reports authored byGiampiero Iaffaldano, Juan Martin de Blas, Xu Rui, D. Sarah Stamps, and Zhao Bin. For mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::657fb29b4166b363078ffd4e16d1bd10
Autor:
Hu, Mengya, Xu, Rui, Lei, Deren, Li, Yaxi, Wang, Mingyu, Ching, Emily, Kamal, Eslam, Deng, Alex
Large language models (LLMs) are highly capable but face latency challenges in real-time applications, such as conducting online hallucination detection. To overcome this issue, we propose a novel framework that leverages a small language model (SLM)
Externí odkaz:
http://arxiv.org/abs/2408.12748
Pathological diagnosis remains the definitive standard for identifying tumors. The rise of multimodal large models has simplified the process of integrating image analysis with textual descriptions. Despite this advancement, the substantial costs ass
Externí odkaz:
http://arxiv.org/abs/2408.07037
We propose a novel framework for retinal feature point alignment, designed for learning cross-modality features to enhance matching and registration across multi-modality retinal images. Our model draws on the success of previous learning-based featu
Externí odkaz:
http://arxiv.org/abs/2407.18362
Autor:
Mi, Shuo, Guo, Jianfeng, Hu, Guojing, Wang, Guangcheng, Li, Songyang, Gong, Zizhao, Jin, Shuaizhao, Xu, Rui, Pang, Fei, Ji, Wei, Yu, Weiqiang, Wang, Xiaolei, Wang, Xueyun, Yang, Haitao, Cheng, Zhihai
Realizing magnetic skyrmions in two-dimensional (2D) van der Waals (vdW) ferromagnets offers unparalleled prospects for future spintronic applications. The room-temperature ferromagnet Fe3GaTe2 provides an ideal platform for tailoring these magnetic
Externí odkaz:
http://arxiv.org/abs/2407.16924