Zobrazeno 1 - 10
of 118 901
pro vyhledávání: '"Multi-agent System"'
Knowledge tagging for questions is vital in modern intelligent educational applications, including learning progress diagnosis, practice question recommendations, and course content organization. Traditionally, these annotations have been performed b
Externí odkaz:
http://arxiv.org/abs/2409.08406
This project, named HEnRY, aims to introduce a Multi-Agent System (MAS) into Intesa Sanpaolo. The name HEnRY summarizes the project's core principles: the Hierarchical organization of agents in a layered structure for efficient resource management; E
Externí odkaz:
http://arxiv.org/abs/2410.12720
Autor:
Su, Haoyang, Chen, Renqi, Tang, Shixiang, Zheng, Xinzhe, Li, Jingzhe, Yin, Zhenfei, Ouyang, Wanli, Dong, Nanqing
The rapid advancement of scientific progress requires innovative tools that can accelerate discovery. While recent AI methods, particularly large language models (LLMs), have shown promise in tasks such as hypothesis generation and experimental desig
Externí odkaz:
http://arxiv.org/abs/2410.09403
Code translation converts code from one programming language to another while maintaining its original functionality, which is crucial for software migration, system refactoring, and cross-platform development. Traditional rule-based methods rely on
Externí odkaz:
http://arxiv.org/abs/2409.19894
Multi-stage amplifiers are widely applied in analog circuits. However, their large number of components, complex transfer functions, and intricate pole-zero distributions necessitate extensive manpower for derivation and param sizing to ensure their
Externí odkaz:
http://arxiv.org/abs/2409.14739
LLM-based autonomous agents often fail to execute complex web tasks that require dynamic interaction due to the inherent uncertainty and complexity of these environments. Existing LLM-based web agents typically rely on rigid, expert-designed policies
Externí odkaz:
http://arxiv.org/abs/2408.15978
Large Language Model (LLM) based multi-agent systems (MAS) show remarkable potential in collaborative problem-solving, yet they still face critical challenges: low communication efficiency, poor scalability, and a lack of effective parameter-updating
Externí odkaz:
http://arxiv.org/abs/2410.08115
Autor:
Wu, Zida, Mehta, Ankur
A crucial challenge in decentralized systems is state estimation in the presence of unknown inputs, particularly within heterogeneous sensor networks with dynamic topologies. While numerous consensus algorithms have been introduced, they often requir
Externí odkaz:
http://arxiv.org/abs/2410.00272