Behavior and Representation in Large Language Models for Combinatorial Optimization: From Feature Extraction to Algorithm Selection

Analyzes the role of large language models in combinatorial optimization, covering their ability to extract features and aid in selecting optimal algorithms for complex problems. This research is highly relevant for industries facing complex scheduling, logistics, and resource allocation challenges, offering novel AI-powered solutions.