This paper investigates the rationality of large language models (LLMs) in strategic decision-
making contexts, specifically within the framework of game theory. We evaluate several state …

Historically, scientific discovery has been a lengthy and costly process, demanding
substantial time and resources from initial conception to final results. To accelerate scientific …

Remote-sensing mineral exploration is critical for identifying economically viable mineral
deposits, yet it poses significant challenges for multimodal large language models (MLLMs) …

Recent advancements in large language models (LLMs) have driven a revolutionary
paradigm shift in process automation from Robotic Process Automation to Agentic Process …

Recent research has leveraged large language model multi-agent systems for complex
problem-solving while trying to reduce the manual effort required to build them, driving the …

The integration of workflows with large language models (LLMs) enables LLM-based agents
to execute predefined procedures, enhancing automation in real-world applications …

Large language models, employed as multiple agents that interact and collaborate with
each other, have excelled at solving complex tasks. The agents are programmed with …

Function as a Service (FaaS) is poised to become the foundation of the next generation of
cloud systems due to its inherent advantages in scalability, cost-efficiency, and ease of use …