Article

Can Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) Generate New Knowledge for Urban Studies?

2025-04-30

Abstract excerpt

<title>Abstract</title> <p>Retrieval-Augmented Generation (RAG) has demonstrated promising potential in addressing domain-specific challenges by integrating up-to-date, expert-level knowledge into the outputs of Large Language Models (LLM). However, optimizing these models for urban studies and other specialized domains remains a key challenge. This paper investigates the application of RAG-enhanced LLMs in the c...

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Literature Corpus work: cece8ca8-d8c0-5022-966a-db224406a734
DOI: 10.21203/rs.3.rs-6551928/v1

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