Zobrazeno 1 - 10
of 31 483
pro vyhledávání: '"Jianbin An"'
Large Language Models (LLMs) have demonstrated significant capabilities across numerous application domains. A key challenge is to keep these models updated with latest available information, which limits the true potential of these models for the en
Externí odkaz:
http://arxiv.org/abs/2409.12257
This paper investigates the mission planning problem for spacecraft confronting orbital debris to achieve autonomous avoidance. Firstly, combined with the avoidance requirements, a closed-loop framework of autonomous avoidance for orbital debris is p
Externí odkaz:
http://arxiv.org/abs/2409.09959
Large Language Models (LLMs) have revolutionized artificial intelligence and machine learning through their advanced text processing and generating capabilities. However, their widespread deployment has raised significant safety and reliability conce
Externí odkaz:
http://arxiv.org/abs/2409.03274
When XPS analyses are performed on insulator surfaces, shift and deformation of spectra peaks typically take place due to the surface charging. To achieve reliable XPS measurements, neutralization techniques have been widely adopted but their effecti
Externí odkaz:
http://arxiv.org/abs/2409.00663
Autor:
Liu, Jiajun, Wang, Yibing, Ma, Hanghang, Wu, Xiaoping, Ma, Xiaoqi, Wei, Xiaoming, Jiao, Jianbin, Wu, Enhua, Hu, Jie
Rapid advancements have been made in extending Large Language Models (LLMs) to Large Multi-modal Models (LMMs). However, extending input modality of LLMs to video data remains a challenging endeavor, especially for long videos. Due to insufficient ac
Externí odkaz:
http://arxiv.org/abs/2408.15542
Depth information provides valuable insights into the 3D structure especially the outline of objects, which can be utilized to improve the semantic segmentation tasks. However, a naive fusion of depth information can disrupt feature and compromise ac
Externí odkaz:
http://arxiv.org/abs/2408.09097
Novel View Synthesis (NVS) without Structure-from-Motion (SfM) pre-processed camera poses--referred to as SfM-free methods--is crucial for promoting rapid response capabilities and enhancing robustness against variable operating conditions. Recent Sf
Externí odkaz:
http://arxiv.org/abs/2408.08723
Autor:
Lin, Xinwei, Zhao, Jing, Di, Peng, Xiao, Chuan, Mao, Rui, Ji, Yan, Onizuka, Makoto, Ding, Zishuo, Shang, Weiyi, Qin, Jianbin
In enterprise data pipelines, data insertions occur periodically and may impact downstream services if data quality issues are not addressed. Typically, such problems can be investigated and fixed by on-call engineers, but locating the cause of such
Externí odkaz:
http://arxiv.org/abs/2408.03005
Irregularly observed functional time series (FTS) are increasingly available in many real-world applications. To analyze FTS, it is crucial to account for both serial dependencies and the irregularly observed nature of functional data. However, exist
Externí odkaz:
http://arxiv.org/abs/2408.02343
Compared to classical optical coherence theory based on Maxwell's electromagnetic theory and Glauber's quantum optical coherence theory based on matrix mechanics formulation of quantum mechanics, quantum optical coherence theory based on Feynman's pa
Externí odkaz:
http://arxiv.org/abs/2407.18478