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pro vyhledávání: '"Yang, Tianze"'
Autor:
Li, Yiwei, Wu, Zihao, Zhao, Huaqin, Yang, Tianze, Liu, Zhengliang, Shu, Peng, Sun, Jin, Parasuraman, Ramviyas, Liu, Tianming
To tackle the "reality gap" encountered in Sim-to-Real transfer, this study proposes a diffusion-based framework that minimizes inconsistencies in grasping actions between the simulation settings and realistic environments. The process begins by trai
Externí odkaz:
http://arxiv.org/abs/2403.11459
This study unveils the In-Context Evolutionary Search (ICE-SEARCH) method, which is among the first works that melds large language models (LLMs) with evolutionary algorithms for feature selection (FS) tasks and demonstrates its effectiveness in Medi
Externí odkaz:
http://arxiv.org/abs/2402.18609
Autor:
Zhao, Huaqin, Liu, Zhengliang, Wu, Zihao, Li, Yiwei, Yang, Tianze, Shu, Peng, Xu, Shaochen, Dai, Haixing, Zhao, Lin, Mai, Gengchen, Liu, Ninghao, Liu, Tianming
In recent years, Large Language Models (LLMs) like ChatGPT have seen considerable advancements and have been applied in diverse fields. Built on the Transformer architecture, these models are trained on extensive datasets, enabling them to understand
Externí odkaz:
http://arxiv.org/abs/2401.11641
Autor:
Liu, Zhengliang, Li, Yiwei, Cao, Qian, Chen, Junwen, Yang, Tianze, Wu, Zihao, Hale, John, Gibbs, John, Rasheed, Khaled, Liu, Ninghao, Mai, Gengchen, Liu, Tianming
Recent advances in artificial general intelligence (AGI), particularly large language models and creative image generation systems have demonstrated impressive capabilities on diverse tasks spanning the arts and humanities. However, the swift evoluti
Externí odkaz:
http://arxiv.org/abs/2310.19626
The multi-agent pathfinding (MAPF) problem seeks collision-free paths for a team of agents from their current positions to their pre-set goals in a known environment, and is an essential problem found at the core of many logistics, transportation, an
Externí odkaz:
http://arxiv.org/abs/2310.08350
Autor:
Shi, Yucheng, Xu, Shaochen, Yang, Tianze, Liu, Zhengliang, Liu, Tianming, Li, Xiang, Liu, Ninghao
Large Language Models (LLMs), although powerful in general domains, often perform poorly on domain-specific tasks like medical question answering (QA). Moreover, they tend to function as "black-boxes," making it challenging to modify their behavior.
Externí odkaz:
http://arxiv.org/abs/2309.16035
In multi-agent informative path planning (MAIPP), agents must collectively construct a global belief map of an underlying distribution of interest (e.g., gas concentration, light intensity, or pollution levels) over a given domain, based on measureme
Externí odkaz:
http://arxiv.org/abs/2303.05351
Autor:
Zhu, Rugang, Sun, Xiaoyi, Zhang, Yuxin, Yang, Tianze, Wang, Chuan, Zhang, Jingnan, Duan, Zhenhua, Shang, Feifei, Fan, Jungang, Liu, Yifei, Peng, Xue, Wang, Ning, Chen, Gang
Publikováno v:
In Food Chemistry 30 March 2022 373 Part B
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Akademický článek
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