Zobrazeno 1 - 10
of 24 923
pro vyhledávání: '"Huang, Xiao"'
World model emerges as a key module in decision making, where MuZero and Dreamer achieve remarkable successes in complex tasks. Recent work leverages Large Language Models (LLMs) as general world simulators to simulate the dynamics of the world due t
Externí odkaz:
http://arxiv.org/abs/2411.08794
Autor:
Lu, Kaixuan, Zhang, Ruiqian, Huang, Xiao, Xie, Yuxing, Ning, Xiaogang, Zhang, Hanchao, Yuan, Mengke, Zhang, Pan, Wang, Tao, Liao, Tongkui
Recent self-supervised learning (SSL) methods have demonstrated impressive results in learning visual representations from unlabeled remote sensing images. However, most remote sensing images predominantly consist of scenographic scenes containing mu
Externí odkaz:
http://arxiv.org/abs/2411.06091
Recently, large vision language models (VLMs) have made significant strides in visual language capabilities through visual instruction tuning, showing great promise in the field of remote sensing image interpretation. However, existing remote sensing
Externí odkaz:
http://arxiv.org/abs/2411.06074
Collaborative filtering (CF) models have demonstrated remarkable performance in recommender systems, which represent users and items as embedding vectors. Recently, due to the powerful modeling capability of graph neural networks for user-item intera
Externí odkaz:
http://arxiv.org/abs/2411.01182
Large language models (LLMs) have demonstrated their remarkable performance across various language understanding tasks. While emerging benchmarks have been proposed to evaluate LLMs in various domains such as mathematics and computer science, they m
Externí odkaz:
http://arxiv.org/abs/2410.17558
Entity alignment (EA) aims to merge two knowledge graphs (KGs) by identifying equivalent entity pairs. Existing methods can be categorized into symbolic and neural models. Symbolic models, while precise, struggle with substructure heterogeneity and s
Externí odkaz:
http://arxiv.org/abs/2410.04153
Publikováno v:
Educational Technology & Society, 2024 Oct 01. 27(4), 136-155.
Externí odkaz:
https://www.jstor.org/stable/48791547
We investigate asymmetric steering harvesting phenomenon involving two non-identical inertial detectors with different energy gaps, which interact locally with vacuum massless scalar fields. Our study assumes that the energy gap of detector $B$ excee
Externí odkaz:
http://arxiv.org/abs/2408.11277
Autor:
Pan, Paoqiang, Hu, Kewei, Huang, Xiao, Ying, Wei, Xie, Xiaoxuan, Ma, Yue, Zhang, Naizhong, Kang, Hanwen
Smart Micro Aerial Vehicles (MAVs) have transformed infrastructure inspection by enabling efficient, high-resolution monitoring at various stages of construction, including hard-to-reach areas. Traditional manual operation of drones in GPS-denied env
Externí odkaz:
http://arxiv.org/abs/2408.06030
Autor:
Li, Shuxin, Yang, Chang, Zhang, Youzhi, Li, Pengdeng, Wang, Xinrun, Huang, Xiao, Chan, Hau, An, Bo
Nash equilibrium (NE) is a widely adopted solution concept in game theory due to its stability property. However, we observe that the NE strategy might not always yield the best results, especially against opponents who do not adhere to NE strategies
Externí odkaz:
http://arxiv.org/abs/2408.05575