Zobrazeno 1 - 10
of 5 214
pro vyhledávání: '"Cao, Yue"'
Autor:
Wang, Weiyun, Chen, Zhe, Wang, Wenhai, Cao, Yue, Liu, Yangzhou, Gao, Zhangwei, Zhu, Jinguo, Zhu, Xizhou, Lu, Lewei, Qiao, Yu, Dai, Jifeng
Existing open-source multimodal large language models (MLLMs) generally follow a training process involving pre-training and supervised fine-tuning. However, these models suffer from distribution shifts, which limit their multimodal reasoning, partic
Externí odkaz:
http://arxiv.org/abs/2411.10442
Publikováno v:
Int. J. Theoret. Phys. 63 (2024), 284 (16pp)
We study generalized monogamy and polygamy relations for concurrence of assistance and negativity of assistance using parametrized bounds in general multi-partite quantum systems. The new method overcomes the shortcomings of previous studies where a
Externí odkaz:
http://arxiv.org/abs/2411.03950
Despite significant advancements in Multimodal Large Language Models (MLLMs) for understanding complex human intentions through cross-modal interactions, capturing intricate image details remains challenging. Previous methods integrating multiple vis
Externí odkaz:
http://arxiv.org/abs/2410.11829
Autor:
Zhang, Ronghui, Zou, Runzong, Zhao, Yue, Zhang, Zirui, Chen, Junzhou, Cao, Yue, Hu, Chuan, Song, Houbing
Attention mechanisms, particularly channel attention, have become highly influential in numerous computer vision tasks. Despite their effectiveness, many existing methods primarily focus on optimizing performance through complex attention modules app
Externí odkaz:
http://arxiv.org/abs/2410.07860
Autor:
Xue, Kun, Cao, Yue, Wan, Feng, Li, Zhong-Peng, Zhao, Qian, Liu, Si-Man, Liu, Xin-Yu, Hu, Li-Xiang, Zhao, Yong-Tao, Xu, Zhong-Feng, Yu, Tong-Pu, Li, Jian-Xing
Relativistic spin-polarized electron beams are important for fundamental research and the industry, but their generation currently requires conventional accelerators or ultrastrong laser facilities, limiting their accessibility and broad applications
Externí odkaz:
http://arxiv.org/abs/2408.08563
Autor:
Hemberg, Martin, Marini, Federico, Ghazanfar, Shila, Ajami, Ahmad Al, Abassi, Najla, Anchang, Benedict, Benayoun, Bérénice A., Cao, Yue, Chen, Ken, Cuesta-Astroz, Yesid, DeBruine, Zach, Dendrou, Calliope A., De Vlaminck, Iwijn, Imkeller, Katharina, Korsunsky, Ilya, Lederer, Alex R., Meysman, Pieter, Miller, Clint, Mullan, Kerry, Ohler, Uwe, Patikas, Nikolaos, Schuck, Jonas, Siu, Jacqueline HY, Triche Jr., Timothy J., Tsankov, Alex, van der Laan, Sander W., Yajima, Masanao, Yang, Jean, Zanini, Fabio, Jelic, Ivana
The field of single-cell biology is growing rapidly and is generating large amounts of data from a variety of species, disease conditions, tissues, and organs. Coordinated efforts such as CZI CELLxGENE, HuBMAP, Broad Institute Single Cell Portal, and
Externí odkaz:
http://arxiv.org/abs/2408.06563
Autor:
Strempfer, Sebastian, Di, Zichao Wendy, Yoshii, Kazutomo, Cao, Yue, Zhang, Qingteng, Dufresne, Eric M., Cherukara, Mathew, Narayanan, Suresh, Holt, Martin V., Miceli, Antonino, Zhou, Tao
The construction of highly coherent x-ray sources has enabled new research opportunities across the scientific landscape. The maximum raw data rate per beamline now exceeds 40 GB/s, posing unprecedented challenges for the online processing and offlin
Externí odkaz:
http://arxiv.org/abs/2407.20356
Publikováno v:
Quantum Inf. Process. (2024) 23:282
We seek a systematic tightening method to represent the monogamy relation for some measure in multipartite quantum systems. By introducing a family of parametrized bounds, we obtain tighter lowering bounds for the monogamy relation compared with the
Externí odkaz:
http://arxiv.org/abs/2407.18127
Autor:
Liu, Yangzhou, Cao, Yue, Gao, Zhangwei, Wang, Weiyun, Chen, Zhe, Wang, Wenhai, Tian, Hao, Lu, Lewei, Zhu, Xizhou, Lu, Tong, Qiao, Yu, Dai, Jifeng
Despite the effectiveness of vision-language supervised fine-tuning in enhancing the performance of Vision Large Language Models (VLLMs). However, existing visual instruction tuning datasets include the following limitations: (1) Instruction annotati
Externí odkaz:
http://arxiv.org/abs/2407.15838
Autor:
Zajac, Marc, Zhou, Tao, Yang, Tiannan, Das, Sujit, Cao, Yue, Guzelturk, Burak, Stoica, Vladimir, Cherukara, Mathew, Freeland, John W., Gopalan, Venkatraman, Ramesh, Ramamoorthy, Martin, Lane W., Chen, Long-Qing, Holt, Martin, Hruszkewycz, Stephan, Wen, Haidan
Adaptive networks can sense and adjust to dynamic environments to optimize their performance. Understanding their nanoscale responses to external stimuli is essential for applications in nanodevices and neuromorphic computing. However, it is challeng
Externí odkaz:
http://arxiv.org/abs/2406.17067