Zobrazeno 1 - 10
of 51 549
pro vyhledávání: '"LIU,Jie"'
Publikováno v:
AAAI 2025
Medical report generation is crucial for clinical diagnosis and patient management, summarizing diagnoses and recommendations based on medical imaging. However, existing work often overlook the clinical pipeline involved in report writing, where phys
Externí odkaz:
http://arxiv.org/abs/2412.14535
For fractals on Riemannian manifolds, the theory of iterated function systems often does not apply well directly, as fractal sets are often defined by relations that are multivalued or non-contractive. To overcome this difficulty, we introduce the no
Externí odkaz:
http://arxiv.org/abs/2412.13759
Most existing tests in the literature for model checking do not work in high dimension settings due to challenges arising from the "curse of dimensionality", or dependencies on the normality of parameter estimators. To address these challenges, we pr
Externí odkaz:
http://arxiv.org/abs/2412.10721
Autor:
Guan, Zhanming, Liu, Junlin, Liu, Jierui, Peng, Chao, Liu, Dexin, Sun, Ningyuan, Jiang, Bo, Li, Wenchao, Liu, Jie, Zhu, Hang
Large Language Models (LLMs) have demonstrated impressive capabilities in code completion tasks, where they assist developers by predicting and generating new code in real-time. However, existing LLM-based code completion systems primarily rely on th
Externí odkaz:
http://arxiv.org/abs/2412.08063
Autor:
Zhang, Qing, Lv, Haocheng, Liu, Jie, Chen, Zhiyun, Duan, Jianyong, Wang, Hao, He, Li, Xv, Mingying
Publikováno v:
MM '2024: Proceedings of the 32nd ACM International Conference on Multimedia, Pages 4814 - 4822
With the rise of large-scale language models (LLMs), it is currently popular and effective to convert multimodal information into text descriptions for multimodal multi-hop question answering. However, we argue that the current methods of multi-modal
Externí odkaz:
http://arxiv.org/abs/2412.05821
Autor:
Liu, Jie, Wang, Wenxuan, Ma, Zizhan, Huang, Guolin, SU, Yihang, Chang, Kao-Jung, Chen, Wenting, Li, Haoliang, Shen, Linlin, Lyu, Michael
Clinical decision making (CDM) is a complex, dynamic process crucial to healthcare delivery, yet it remains a significant challenge for artificial intelligence systems. While Large Language Model (LLM)-based agents have been tested on general medical
Externí odkaz:
http://arxiv.org/abs/2412.01605
Autor:
Chen, Kecheng, Zhang, Pingping, Liu, Hui, Liu, Jie, Liu, Yibing, Huang, Jiaxin, Wang, Shiqi, Yan, Hong, Li, Haoliang
We have recently witnessed that ``Intelligence" and `` Compression" are the two sides of the same coin, where the language large model (LLM) with unprecedented intelligence is a general-purpose lossless compressor for various data modalities. This at
Externí odkaz:
http://arxiv.org/abs/2411.12448
Autor:
Huang, Shaoying, Algarín, José Miguel, Alonso, Joseba, R, Anieyrudh, Borreguero, Jose, Bschorr, Fabian, Cassidy, Paul, Choo, Wei Ming, Corcos, David, Guallart-Naval, Teresa, Han, Heng Jing, Igwe, Kay Chioma, Kang, Jacob, Li, Joe, Littin, Sebastian, Liu, Jie, Rodriguez, Gonzalo Gabriel, Solomon, Eddy, Tan, Li-Kuo, Tian, Rui, Webb, Andrew, Weber, Susanna, Xiao, Dan, Xu, Minxuan, Yu, Wenwei, Zhang, Zhiyong, Zinghini, Isabelle, Blümich, Bernhard
Nuclear magnetic resonance instruments are becoming available to the do-it-yourself community. The challenges encountered in the endeavor to build a magnetic resonance imaging instrument from scratch were confronted in a four-day hackathon at Singapo
Externí odkaz:
http://arxiv.org/abs/2411.11365
We investigate the dynamics of a relativistic spin-1/2 particle governed by a one-dimensional time-periodic kicking Dirac equation. We observe distinct oscillatory behavior in the momentum space and quantum tunneling in the vicinity of zero momentum,
Externí odkaz:
http://arxiv.org/abs/2411.10953
We investigate the interplay between non-Hermitian skin effect (NHSE) and topological properties in two-dimensional topological superconductor. Two kinds of non-Hermiticity are considered. The first is the spin-independent non-reciprocal hopping, whi
Externí odkaz:
http://arxiv.org/abs/2411.07657