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Akademický článek
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Autor:
Liu, Yifei, Wen, Jicheng, Wang, Yang, Ye, Shengyu, Zhang, Li Lyna, Cao, Ting, Li, Cheng, Yang, Mao
Scaling model size significantly challenges the deployment and inference of Large Language Models (LLMs). Due to the redundancy in LLM weights, recent research has focused on pushing weight-only quantization to extremely low-bit (even down to 2 bits)
Externí odkaz:
http://arxiv.org/abs/2409.17066
Autor:
Al-Qadasi, Mohammed A., Grist, Samantha M., Mitchell, Matthew, Newton, Karyn, Kioussis, Stephen, Chowdhury, Sheri J., Randhawa, Avineet, Liu, Yifei, Tisapramotkul, Piramon, Cheung, Karen C., Chrostowski, Lukas, Shekhar, Sudip
Decentralized diagnostic testing that is accurate, portable, quantitative, and capable of making multiple simultaneous measurements of different biomarkers at the point-of-need remains an important unmet need in the post-pandemic world. Resonator-bas
Externí odkaz:
http://arxiv.org/abs/2409.15489
Autor:
Dhrafani, Devansh, Liu, Yifei, Jong, Andrew, Shin, Ukcheol, He, Yao, Harp, Tyler, Hu, Yaoyu, Oh, Jean, Scherer, Sebastian
Robust depth perception in visually-degraded environments is crucial for autonomous aerial systems. Thermal imaging cameras, which capture infrared radiation, are robust to visual degradation. However, due to lack of a large-scale dataset, the use of
Externí odkaz:
http://arxiv.org/abs/2409.07715
The spectrum and dynamics of near-extremal black holes are strongly modified by quantum effects at low temperatures. When the extremal limit does not preserve any supersymmetry, the density of states goes to zero at extremality and no extremal black
Externí odkaz:
http://arxiv.org/abs/2408.12138
Autor:
Wu, Yiquan, Tang, Bo, Xi, Chenyang, Yu, Yu, Wang, Pengyu, Liu, Yifei, Kuang, Kun, Deng, Haiying, Li, Zhiyu, Xiong, Feiyu, Hu, Jie, Cheng, Peng, Wang, Zhonghao, Wang, Yi, Luo, Yi, Yang, Mingchuan
Commentary provides readers with a deep understanding of events by presenting diverse arguments and evidence. However, creating commentary is a time-consuming task, even for skilled commentators. Large language models (LLMs) have simplified the proce
Externí odkaz:
http://arxiv.org/abs/2408.11609
Autor:
Chen, Jiaxing, Zhong, Wei, Gao, Bolin, Liu, Yifei, Zou, Hengduo, Liu, Jiaxi, Lu, Yanbo, Huang, Jin, Zhong, Zhihua
This study introduces the 4D Risk Occupancy within a vehicle-road-cloud architecture, integrating the road surface spatial, risk, and temporal dimensions, and endowing the algorithm with beyond-line-of-sight, all-angles, and efficient abilities. The
Externí odkaz:
http://arxiv.org/abs/2408.07367
This paper proposes a bidirectional multibeam hybrid transmitarray (HTA) employing a transmission polarization-rotating metasurface (TPRM). A novel configuration is introduced to facilitate bidirectional beam scanning by combining the transmitarray (
Externí odkaz:
http://arxiv.org/abs/2408.01078
This paper introduces PanoRadar, a novel RF imaging system that brings RF resolution close to that of LiDAR, while providing resilience against conditions challenging for optical signals. Our LiDAR-comparable 3D imaging results enable, for the first
Externí odkaz:
http://arxiv.org/abs/2405.19516