LAPPI: Interactive Optimization with LLM-Assisted Preference-Based Problem Instantiation

This article introduces LAPPI, a method for interactive optimization that leverages Large Language Models (LLMs) to assist in preference-based problem instantiation. The use of LLMs suggests a focus on natural language understanding and generation to facilitate user interaction and problem definition. The 'preference-based' aspect implies a focus on user feedback and iterative refinement of the optimization problem. The source being ArXiv indicates this is a research paper, likely exploring a novel approach to optimization.