Large Language Models related Intelligent Decision-Making in the Digital Economy Era  

Description 

The development of digital economy globally has led to many innovations in information technologies, especially the artificial intelligence (AI) and large language models (LLMs). As a powerful computational based AI tool, LLMs, driven by advanced machine learning and natural language processing, have demonstrated exceptional capabilities in handling complex problems. Recent advances in fundamental models, multimodal data-based learning, and agent-based LLM systems further extend the capabilities from passive analysis to interactive reasoning, planning, and decision makings under complex scenarios. Now we are dealing with a dynamic and multifaceted environment in the digital economy era, in which LLMs could contribute in many management tasks like demand forecasting, resources optimization, risk prevention & prediction, etc. By integrating diverse unstructured data, such as user-generated content, news articles, corporate reports, and real-time multimodal signals, the LLMs utilized in management decision-makings have enhanced predictive accuracy and decision efficiency significantly, and further generated new paradigms for intelligent, adaptive, human-machine collaborated and trustworthy decision-making.

Within the theme “At the Forefront of Science through Computation and Data” of ICCS 2026, now LLMs have become new data-driven computational instruments that push the frontiers of scientific research in complex digital economic system. This workshop titled “Large Language Models related Intelligent Decision-Making in the Digital Economy Era”, aims to explore how LLMs can address the challenges in decision-makings posed by the complexity, uncertainty, and dynamics of the digital economic system. This workshop not only emphasizes computationally grounded approaches that integrate LLMs with modeling, optimization, fine-tuning, reasoning and other algorithmic tools, but also highlights emerging theoretical/methodological advances that leverage LLMs as agents to enhance predictive analytics, support decision processes, and facilitate adaptive policy design in rapidly evolving digital markets.