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pro vyhledávání: '"Zhang, Wenhao"'
Autor:
Zhang, Shao, Wang, Xihuai, Zhang, Wenhao, Chen, Yongshan, Gao, Landi, Wang, Dakuo, Zhang, Weinan, Wang, Xinbing, Wen, Ying
Theory of Mind (ToM) significantly impacts human collaboration and communication as a crucial capability to understand others. When AI agents with ToM capability collaborate with humans, Mutual Theory of Mind (MToM) arises in such human-AI teams (HAT
Externí odkaz:
http://arxiv.org/abs/2409.08811
The intermediate behavior near a quantum phase transition is crucial for understanding the quantum criticality of various competing phases and their separate origins, yet remains unexplored for the multiple Yu-Shiba-Rusinov (YSR) states. Here, we inv
Externí odkaz:
http://arxiv.org/abs/2407.11369
Autor:
Qin, Zhen, Chen, Daoyuan, Zhang, Wenhao, Yao, Liuyi, Huang, Yilun, Ding, Bolin, Li, Yaliang, Deng, Shuiguang
The rapid development of large language models (LLMs) has been witnessed in recent years. Based on the powerful LLMs, multi-modal LLMs (MLLMs) extend the modality from text to a broader spectrum of domains, attracting widespread attention due to the
Externí odkaz:
http://arxiv.org/abs/2407.08583
Channel and spatial attentions have respectively brought significant improvements in extracting feature dependencies and spatial structure relations for various downstream vision tasks. While their combination is more beneficial for leveraging their
Externí odkaz:
http://arxiv.org/abs/2407.05128
Typical BCS superconductors are microscopically homogeneous in real space governed by the coherent Cooper pairs with high phase stiffness of superfluid density, which is characterized by a coherence length. However, a periodic oscillation of supercon
Externí odkaz:
http://arxiv.org/abs/2406.05693
Low-dose computed tomography (LDCT) plays a vital role in clinical applications by mitigating radiation risks. Nevertheless, reducing radiation doses significantly degrades image quality. Concurrently, common deep learning methods demand extensive da
Externí odkaz:
http://arxiv.org/abs/2405.17167
Autor:
Zhang, Wenhao, Zhang, Mengqi, Wu, Shiguang, Pei, Jiahuan, Ren, Zhaochun, de Rijke, Maarten, Chen, Zhumin, Ren, Pengjie
Exclusion is an important and universal linguistic skill that humans use to express what they do not want. However, in information retrieval community, there is little research on exclusionary retrieval, where users express what they do not want in t
Externí odkaz:
http://arxiv.org/abs/2404.17288
Lip-reading is to utilize the visual information of the speaker's lip movements to recognize words and sentences. Existing event-based lip-reading solutions integrate different frame rate branches to learn spatio-temporal features of varying granular
Externí odkaz:
http://arxiv.org/abs/2404.11979
Autor:
Gao, Dawei, Li, Zitao, Pan, Xuchen, Kuang, Weirui, Ma, Zhijian, Qian, Bingchen, Wei, Fei, Zhang, Wenhao, Xie, Yuexiang, Chen, Daoyuan, Yao, Liuyi, Peng, Hongyi, Zhang, Zeyu, Zhu, Lin, Cheng, Chen, Shi, Hongzhu, Li, Yaliang, Ding, Bolin, Zhou, Jingren
With the rapid advancement of Large Language Models (LLMs), significant progress has been made in multi-agent applications. However, the complexities in coordinating agents' cooperation and LLMs' erratic performance pose notable challenges in develop
Externí odkaz:
http://arxiv.org/abs/2402.14034
Among the research topics in multi-agent learning, mixed-motive cooperation is one of the most prominent challenges, primarily due to the mismatch between individual and collective goals. The cutting-edge research is focused on incorporating domain k
Externí odkaz:
http://arxiv.org/abs/2402.12416