Zobrazeno 1 - 10
of 1 815
pro vyhledávání: '"ZHANG Tuo"'
Autor:
Xu, Shaochen, Zhou, Yifan, Liu, Zhengliang, Wu, Zihao, Zhong, Tianyang, Zhao, Huaqin, Li, Yiwei, Jiang, Hanqi, Pan, Yi, Chen, Junhao, Lu, Jin, Zhang, Wei, Zhang, Tuo, Zhang, Lu, Zhu, Dajiang, Li, Xiang, Liu, Wei, Li, Quanzheng, Sikora, Andrea, Zhai, Xiaoming, Xiang, Zhen, Liu, Tianming
Artificial Intelligence (AI) has become essential in modern healthcare, with large language models (LLMs) offering promising advances in clinical decision-making. Traditional model-based approaches, including those leveraging in-context demonstration
Externí odkaz:
http://arxiv.org/abs/2411.14461
Autor:
Wang, Jiaqi, Zhao, Huan, Yang, Zhenyuan, Shu, Peng, Chen, Junhao, Sun, Haobo, Liang, Ruixi, Li, Shixin, Shi, Pengcheng, Ma, Longjun, Liu, Zongjia, Liu, Zhengliang, Zhong, Tianyang, Zhang, Yutong, Ma, Chong, Zhang, Xin, Zhang, Tuo, Ding, Tianli, Ren, Yudan, Liu, Tianming, Jiang, Xi, Zhang, Shu
In this paper, we review legal testing methods based on Large Language Models (LLMs), using the OPENAI o1 model as a case study to evaluate the performance of large models in applying legal provisions. We compare current state-of-the-art LLMs, includ
Externí odkaz:
http://arxiv.org/abs/2411.10137
Autor:
Yang, Zhenyuan, Liu, Zhengliang, Zhang, Jing, Lu, Cen, Tai, Jiaxin, Zhong, Tianyang, Li, Yiwei, Zhao, Siyan, Yao, Teng, Liu, Qing, Yang, Jinlin, Liu, Qixin, Li, Zhaowei, Wang, Kexin, Ma, Longjun, Zhu, Dajiang, Ren, Yudan, Ge, Bao, Zhang, Wei, Qiang, Ning, Zhang, Tuo, Liu, Tianming
This study examines the capabilities of advanced Large Language Models (LLMs), particularly the o1 model, in the context of literary analysis. The outputs of these models are compared directly to those produced by graduate-level human participants. B
Externí odkaz:
http://arxiv.org/abs/2410.18142
Autor:
Chen, Hao, Zhao, Wei, Li, Yingli, Zhong, Tianyang, Wang, Yisong, Shang, Youlan, Guo, Lei, Han, Junwei, Liu, Tianming, Liu, Jun, Zhang, Tuo
Medical image analysis is crucial in modern radiological diagnostics, especially given the exponential growth in medical imaging data. The demand for automated report generation systems has become increasingly urgent. While prior research has mainly
Externí odkaz:
http://arxiv.org/abs/2409.19330
Autor:
Hu, Huawen, Shi, Enze, Yue, Chenxi, Yang, Shuocun, Wu, Zihao, Li, Yiwei, Zhong, Tianyang, Zhang, Tuo, Liu, Tianming, Zhang, Shu
Human-in-the-loop reinforcement learning integrates human expertise to accelerate agent learning and provide critical guidance and feedback in complex fields. However, many existing approaches focus on single-agent tasks and require continuous human
Externí odkaz:
http://arxiv.org/abs/2409.11741
Autor:
Kang, Yanqing, Zhu, Di, Zhang, Haiyang, Shi, Enze, Yu, Sigang, Wu, Jinru, Wang, Xuhui, Liu, Xuan, Chen, Geng, Jiang, Xi, Zhang, Tuo, Zhang, Shu
Studying influential nodes (I-nodes) in brain networks is of great significance in the field of brain imaging. Most existing studies consider brain connectivity hubs as I-nodes. However, this approach relies heavily on prior knowledge from graph theo
Externí odkaz:
http://arxiv.org/abs/2409.11174
Autor:
Li, Wenjun, Cai, Ying, Wu, Ziyang, Zhang, Wenyi, Chen, Yifan, Qi, Rundong, Dong, Mengqi, Chen, Peigen, Dong, Xiao, Shi, Fenghao, Guo, Lei, Han, Junwei, Ge, Bao, Liu, Tianming, Gan, Lin, Zhang, Tuo
Music is essential in daily life, fulfilling emotional and entertainment needs, and connecting us personally, socially, and culturally. A better understanding of music can enhance our emotions, cognitive skills, and cultural connections. The rapid ad
Externí odkaz:
http://arxiv.org/abs/2409.09601
Multimodal Federated Learning frequently encounters challenges of client modality heterogeneity, leading to undesired performances for secondary modality in multimodal learning. It is particularly prevalent in audiovisual learning, with audio is ofte
Externí odkaz:
http://arxiv.org/abs/2408.15803
Autor:
Wang, Jiaqi, Jiang, Hanqi, Liu, Yiheng, Ma, Chong, Zhang, Xu, Pan, Yi, Liu, Mengyuan, Gu, Peiran, Xia, Sichen, Li, Wenjun, Zhang, Yutong, Wu, Zihao, Liu, Zhengliang, Zhong, Tianyang, Ge, Bao, Zhang, Tuo, Qiang, Ning, Hu, Xintao, Jiang, Xi, Zhang, Xin, Zhang, Wei, Shen, Dinggang, Liu, Tianming, Zhang, Shu
In an era defined by the explosive growth of data and rapid technological advancements, Multimodal Large Language Models (MLLMs) stand at the forefront of artificial intelligence (AI) systems. Designed to seamlessly integrate diverse data types-inclu
Externí odkaz:
http://arxiv.org/abs/2408.01319
Autor:
Zhang, Yutong, Pan, Yi, Zhong, Tianyang, Dong, Peixin, Xie, Kangni, Liu, Yuxiao, Jiang, Hanqi, Liu, Zhengliang, Zhao, Shijie, Zhang, Tuo, Jiang, Xi, Shen, Dinggang, Liu, Tianming, Zhang, Xin
Medical images and radiology reports are crucial for diagnosing medical conditions, highlighting the importance of quantitative analysis for clinical decision-making. However, the diversity and cross-source heterogeneity of these data challenge the g
Externí odkaz:
http://arxiv.org/abs/2407.05758