Zobrazeno 1 - 10
of 14 281
pro vyhledávání: '"and Tuo, P."'
Autor:
Deng, Wei, Xie, Fei, Liu, Kuan, Ge, Mingyu, Tuo, Youli, La Monaca, Fabio, Di Marco, Alessandro, Liang, En-wei
Polarization measurements provide insight into the magnetic field, a critical aspect of the dynamics and emission properties around the compact object. In this paper, we present the polarized magnetic field of the Crab outer torus and the Vela arc ut
Externí odkaz:
http://arxiv.org/abs/2410.05622
Large Language Models (LLMs) have demonstrated remarkable capabilities across textual and visual domains but often generate outputs that violate physical laws, revealing a gap in their understanding of the physical world. Inspired by human cognition,
Externí odkaz:
http://arxiv.org/abs/2410.02429
Autor:
Zhao, Yingjie Jay, Feng, Guangchao Charles, Li, Dianshi Moses, Ao, Song Harris, Li, Ming Milano, Tuo, Zhan Thor, Huang, Hui, Zhao, Xinshu
While numerous indices of inter-coder reliability exist, Krippendorff's {\alpha} and Cohen's \{kappa} have long dominated in communication studies and other fields, respectively. The near consensus, however, may be near the end. Recent theoretical an
Externí odkaz:
http://arxiv.org/abs/2410.05291
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:
Liu, Tuo, Realmuto, Jonathan
Movement disorders impact muscle strength and mobility, and despite therapeutic efforts, many people with movement disorders have challenges functioning independently. Soft wearable robots, or exosuits, offer a promising solution for continuous daily
Externí odkaz:
http://arxiv.org/abs/2410.02802
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:
Zhang, Qingru, Yu, Xiaodong, Singh, Chandan, Liu, Xiaodong, Liu, Liyuan, Gao, Jianfeng, Zhao, Tuo, Roth, Dan, Cheng, Hao
Large language models (LLMs) have demonstrated remarkable performance across various real-world tasks. However, they often struggle to fully comprehend and effectively utilize their input contexts, resulting in responses that are unfaithful or halluc
Externí odkaz:
http://arxiv.org/abs/2409.10790
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
Autor:
Wang, Kuan, Bukharin, Alexander, Jiang, Haoming, Yin, Qingyu, Wang, Zhengyang, Zhao, Tuo, Shang, Jingbo, Zhang, Chao, Yin, Bing, Li, Xian, Chen, Jianshu, Li, Shiyang
Instruction fine-tuning (IFT) elicits instruction following capabilities and steers the behavior of large language models (LLMs) via supervised learning. However, existing models trained on open-source IFT datasets only have the ability to follow ins
Externí odkaz:
http://arxiv.org/abs/2409.13733