Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Huo, Jiahao"'
In recent years, multimodal large language models (MLLMs) have significantly advanced, integrating more modalities into diverse applications. However, the lack of explainability remains a major barrier to their use in scenarios requiring decision tra
Externí odkaz:
http://arxiv.org/abs/2410.04819
Autor:
Yan, Yibo, Wang, Shen, Huo, Jiahao, Li, Hang, Li, Boyan, Su, Jiamin, Gao, Xiong, Zhang, Yi-Fan, Xu, Tianlong, Chu, Zhendong, Zhong, Aoxiao, Wang, Kun, Xiong, Hui, Yu, Philip S., Hu, Xuming, Wen, Qingsong
As the field of Multimodal Large Language Models (MLLMs) continues to evolve, their potential to revolutionize artificial intelligence is particularly promising, especially in addressing mathematical reasoning tasks. Current mathematical benchmarks p
Externí odkaz:
http://arxiv.org/abs/2410.04509
MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model
Projecting visual features into word embedding space has become a significant fusion strategy adopted by Multimodal Large Language Models (MLLMs). However, its internal mechanisms have yet to be explored. Inspired by multilingual research, we identif
Externí odkaz:
http://arxiv.org/abs/2406.11193
Autor:
Zhu, Min, Zhao, Ke, Kang, Ruipeng, Zhang, Yong, Lu, Wei, Liao, Runfeng, Huo, Jiahao, Sun, Fei-yun, Feng, Liang
Publikováno v:
In Desalination and Water Treatment October 2024 320
Autor:
Huo, Jiahao, van Zyl, Terence L.
Catastrophic forgetting in neural networks during incremental learning remains a challenging problem. Previous research investigated catastrophic forgetting in fully connected networks, with some earlier work exploring activation functions and learni
Externí odkaz:
http://arxiv.org/abs/2110.01303
Autor:
Li, Linpei, Sun, Chunlei, Huo, Jiahao, Su, Yu, Sun, Lei, Huang, Yao, Wang, Ning, Zhang, Haijun
Publikováno v:
In Digital Communications and Networks August 2024 10(4):873-883
Autor:
Qin, Peng, Huo, Jiahao, Bai, Chenglin, Zhang, Xiaoying, Bai, Haolin, Huangfu, Wei, Long, Keping
Publikováno v:
In Optical Fiber Technology July 2024 85
Autor:
Huo, Jiahao, van Zyl, Terence L
This paper tackles face recognition in videos employing metric learning methods and similarity ranking models. The paper compares the use of the Siamese network with contrastive loss and Triplet Network with triplet loss implementing the following ar
Externí odkaz:
http://arxiv.org/abs/2006.05713
Publikováno v:
In Digital Communications and Networks December 2022
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