Exploratory Prompting of Large Language Models to Act as Co-Pilots for Augmenting Business Process Work in Document Classification

• Main Authors: Ilagan, Jose Ramon, Ilagan, Joseph Benjamin R, Basallo, Claire Louisse, Alabastro, Zachary Matthew
• Format: text
• Published: Archīum Ateneo 2024
• Subjects: AI; Document classification; Generative AI; GPT; LLM; Natural language processing; NLP; RPA; Artificial Intelligence and Robotics; Computer Engineering; Computer Sciences; Electrical and Computer Engineering; Engineering
• Online Access: https://archium.ateneo.edu/qmit-faculty-pubs/28; https://archium.ateneo.edu/context/qmit-faculty-pubs/article/1027/viewcontent/1_s2.0_S1877050924011396_main.pdf
• Institution: Ateneo De Manila University

Businesses deal with different types of documents containing unstructured documents. The data in these documents must be converted into digital forms other automated systems could only process. One generic use case is document classification, which usually involves manual transformation due to human...