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PsFuture: A Pseudo-Future-based Zero-Shot Adaptive Policy for Simultaneous Machine Translation

Autor: Zhao, Libo, Li, Jing, Zeng, Ziqian

Simultaneous Machine Translation (SiMT) requires target tokens to be generated in real-time as streaming source tokens are consumed. Traditional approaches to SiMT typically require sophisticated architectures and extensive parameter configurations f

Externí odkaz: http://arxiv.org/abs/2410.04075

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A Semantic-Aware and Multi-Guided Network for Infrared-Visible Image Fusion

Autor: Zhang, Xiaoli, Wang, Liying, Zhao, Libo, Li, Xiongfei, Ma, Siwei

Multi-modality image fusion aims at fusing specific-modality and shared-modality information from two source images. To tackle the problem of insufficient feature extraction and lack of semantic awareness for complex scenes, this paper focuses on how

Externí odkaz: http://arxiv.org/abs/2407.06159

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Adaptive Policy with Wait-$k$ Model for Simultaneous Translation

Autor: Zhao, Libo, Fan, Kai, Luo, Wei, Wu, Jing, Wang, Shushu, Zeng, Ziqian, Huang, Zhongqiang

Simultaneous machine translation (SiMT) requires a robust read/write policy in conjunction with a high-quality translation model. Traditional methods rely on either a fixed wait-$k$ policy coupled with a standalone wait-$k$ translation model, or an a

Externí odkaz: http://arxiv.org/abs/2310.14853

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Nuclear spin self compensation system for moving MEG sensing with optical pumped atomic spin co-magnetometer

Autor: Chen, Yao, Ma, Yintao, Yu, Mingzhi, Wang, Yanbin, Zhang, Ning, Zhao, Libo, Jiang, Zhuangde

Recording the moving MEGs of a person in which a person's head could move freely as we record the brain's magnetic field is a hot topic in recent years. Traditionally, atomic magnetometers are utilized for moving MEGs recording and a large compensati

Externí odkaz: http://arxiv.org/abs/2204.10481

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