Zobrazeno 1 - 10
of 5 469
pro vyhledávání: '"Zhang, Teng"'
Autor:
Wu, Jinge, Wu, Zhaolong, Hasan, Abul, Kim, Yunsoo, Cheung, Jason P. Y., Zhang, Teng, Wu, Honghan
This study proposes an approach for error correction in clinical radiology reports, leveraging large language models (LLMs) and retrieval-augmented generation (RAG) techniques. The proposed framework employs internal and external retrieval mechanisms
Externí odkaz:
http://arxiv.org/abs/2406.15045
Autor:
Xu, Ziqiang, Shao, Yan, Huang, Chun, Hu, Genyu, Hu, Shihao, Li, Zhi-Lin, Hao, Xiaoyu, Hou, Yanhui, Zhang, Teng, Shi, Jin-An, Liu, Chen, Wang, Jia-Ou, Zhou, Wu, Zhou, Jiadong, Ji, Wei, Qiao, Jingsi, Wu, Xu, Gao, Hong-Jun, Wang, Yeliang
As a fundamental structural feature, the symmetry of materials determines the exotic quantum properties in transition metal dichalcogenides (TMDs) with charge density wave (CDW). Breaking the inversion symmetry, the Janus structure, an artificially c
Externí odkaz:
http://arxiv.org/abs/2406.12180
Autor:
Wu, Zhaolong, Hasan, Abul, Wu, Jinge, Kim, Yunsoo, Cheung, Jason P. Y., Zhang, Teng, Wu, Honghan
This paper describes our submission to the MEDIQA-CORR 2024 shared task for automatically detecting and correcting medical errors in clinical notes. We report results for three methods of few-shot In-Context Learning (ICL) augmented with Chain-of-Tho
Externí odkaz:
http://arxiv.org/abs/2406.09103
Autor:
Jiang, Hongxu, Imran, Muhammad, Ma, Linhai, Zhang, Teng, Zhou, Yuyin, Liang, Muxuan, Gong, Kuang, Shao, Wei
Denoising diffusion probabilistic models (DDPMs) have achieved unprecedented success in computer vision. However, they remain underutilized in medical imaging, a field crucial for disease diagnosis and treatment planning. This is primarily due to the
Externí odkaz:
http://arxiv.org/abs/2405.14802
Cervical cancer is one of the leading causes of death in women, and brachytherapy is currently the primary treatment method. However, it is important to precisely define the extent of paracervical tissue invasion to improve cancer diagnosis and treat
Externí odkaz:
http://arxiv.org/abs/2405.12850
The quantum noise in gravitational-wave detectors can be suppressed in a broadband by frequency-dependent squeezing. It usually requires one large scale filter cavity and even two, for example in the low frequency detector of Einstein Telescope, whic
Externí odkaz:
http://arxiv.org/abs/2404.15012
We present the subspace-constrained Tyler's estimator (STE) designed for recovering a low-dimensional subspace within a dataset that may be highly corrupted with outliers. STE is a fusion of the Tyler's M-estimator (TME) and a variant of the fast med
Externí odkaz:
http://arxiv.org/abs/2404.11590
Autor:
Fanghong, Nan, Zhang, Teng
Byusing equivalence conditions for sectorial matrices obtained by Alakhrass and Sababheh in 2020, we improve a Rotfel'd type inequality for sectorial matrices derived by P. Zhang in 2015 and generalize a result derived by Y. Mao et al. in 2024.
Externí odkaz:
http://arxiv.org/abs/2404.12849
This work analyzes the subspace-constrained Tyler's estimator (STE) designed for recovering a low-dimensional subspace within a dataset that may be highly corrupted with outliers. It assumes a weak inlier-outlier model and allows the fraction of inli
Externí odkaz:
http://arxiv.org/abs/2403.18658
Autor:
Zhang, Teng, Fan, Xing
Most existing methodologies of estimating low-rank matrices rely on Burer-Monteiro factorization, but these approaches can suffer from slow convergence, especially when dealing with solutions characterized by a large condition number, defined by the
Externí odkaz:
http://arxiv.org/abs/2403.02704