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pro vyhledávání: '"Yiming"'
Autor:
He, Fan1 (AUTHOR) H140002@e.ntu.edu.sg
Publikováno v:
Asian Philosophy. Aug2021, Vol. 31 Issue 3, p240-253. 14p.
Electromyography (EMG) signals are widely used in human motion recognition and medical rehabilitation, yet their variability and susceptibility to noise significantly limit the reliability of myoelectric control systems. Existing recognition algorith
Externí odkaz:
http://arxiv.org/abs/2412.15819
Understanding temporal relations and answering time-sensitive questions is crucial yet a challenging task for question-answering systems powered by large language models (LLMs). Existing approaches either update the parametric knowledge of LLMs with
Externí odkaz:
http://arxiv.org/abs/2412.15540
Autor:
Feng, Shengyu, Yang, Yiming
Mixed Integer Linear Program (MILP) solvers are mostly built upon a Branch-and-Bound (B\&B) algorithm, where the efficiency of traditional solvers heavily depends on hand-crafted heuristics for branching. The past few years have witnessed the increas
Externí odkaz:
http://arxiv.org/abs/2412.15534
Intrinsic self-correction was proposed to improve LLMs' responses via feedback prompts solely based on their inherent capability. However, recent works show that LLMs' intrinsic self-correction fails without oracle labels as feedback prompts. In this
Externí odkaz:
http://arxiv.org/abs/2412.14959
The graph with complex annotations is the most potent data type, whose constantly evolving motivates further exploration of the unsupervised dynamic graph representation. One of the representative paradigms is graph contrastive learning. It construct
Externí odkaz:
http://arxiv.org/abs/2412.14451
Autor:
Ren, Jiaping, Xiang, Jiahao, Gao, Hongfei, Zhang, Jinchuan, Ren, Yiming, Ma, Yuexin, Wu, Yi, Yang, Ruigang, Li, Wei
Publikováno v:
2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 2024, pp. 14251-14257
Fuel efficiency is a crucial aspect of long-distance cargo transportation by oil-powered trucks that economize on costs and decrease carbon emissions. Current predictive control methods depend on an accurate model of vehicle dynamics and engine, incl
Externí odkaz:
http://arxiv.org/abs/2412.13618