2025-01-22: From Narrative to Conceptualization: The Role of Large Language Models in Modeling & Simulation
Figure 1. An Illustration of the transition from storytelling to advanced conceptualization. Image Generated by DALL-E. In my previous blog,— “ Do Large Language Models Agree on Entity Extraction? ”— I explored how different Large Language Models (LLMs) approach Named Entity Recognition (NER) tasks, highlighting the inconsistencies in entity identification and categorization. By leveraging techniques such as Sentence-BERT embeddings , and cosine similarity , I demonstrated how to unify outputs from multiple LLMs into a coherent and reliable list of entities, which is essential for tasks requiring consistent information extraction. This blog transitions from entity extraction to a broader exploration of how LLMs move from narrative analysis to conceptual modeling and simulation . While extracting entities is a critical step in understanding narratives, the next challenge lies in structuring those narratives into meaningful models that can inform decision-making and support real...