Exploratory prompting of large language models to act as co-pilots for augmenting business process work in document classification

Jose Ramon Ilagan; Joseph Benjamin Ilagan; Claire Louisse Basallo; Zachary Matthew Alabastro

doi:10.1016/j.procs.2024.05.123

Exploratory prompting of large language models to act as co-pilots for augmenting business process work in document classification

Jose Ramon Ilagan, Joseph Benjamin Ilagan, Claire Louisse Basallo, Zachary Matthew Alabastro

Department of Quantitative Methods and Information Technology

Ateneo de Manila University

Research output: Contribution to journal › Conference article › peer-review

Original language	English
Pages (from-to)	420-425
Number of pages	6
Journal	Procedia Computer Science
Volume	237
DOIs	https://doi.org/10.1016/j.procs.2024.05.123
State	Published - 2024
Event	2023 International Conference on Industry Sciences and Computer Science Innovation, iSCSi 2023 - Lisbon, Portugal Duration: Oct 4 2023 → Oct 6 2023

ASJC Scopus Subject Areas

General Computer Science

Keywords

AI
Document classification
GPT
Generative AI
LLM
NLP
Natural language processing
RPA

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.procs.2024.05.123

Cite this

@article{69839231def249c497a3d712532090ef,

title = "Exploratory prompting of large language models to act as co-pilots for augmenting business process work in document classification",

keywords = "AI, Document classification, GPT, Generative AI, LLM, NLP, Natural language processing, RPA",

author = "Ilagan, \{Jose Ramon\} and Ilagan, \{Joseph Benjamin\} and Basallo, \{Claire Louisse\} and Alabastro, \{Zachary Matthew\}",

note = "Publisher Copyright: {\textcopyright} 2024 The Authors. Published by ELSEVIER B.V.; 2023 International Conference on Industry Sciences and Computer Science Innovation, iSCSi 2023 ; Conference date: 04-10-2023 Through 06-10-2023",

year = "2024",

doi = "10.1016/j.procs.2024.05.123",

language = "English",

volume = "237",

pages = "420--425",

journal = "Procedia Computer Science",

issn = "1877-0509",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Exploratory prompting of large language models to act as co-pilots for augmenting business process work in document classification

AU - Ilagan, Jose Ramon

AU - Ilagan, Joseph Benjamin

AU - Basallo, Claire Louisse

AU - Alabastro, Zachary Matthew

PY - 2024

Y1 - 2024

KW - AI

KW - Document classification

KW - GPT

KW - Generative AI

KW - LLM

KW - NLP

KW - Natural language processing

KW - RPA

UR - https://www.scopus.com/pages/publications/85195426854

UR - https://www.scopus.com/inward/citedby.url?scp=85195426854&partnerID=8YFLogxK

U2 - 10.1016/j.procs.2024.05.123

DO - 10.1016/j.procs.2024.05.123

M3 - Conference article

AN - SCOPUS:85195426854

SN - 1877-0509

VL - 237

SP - 420

EP - 425

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - 2023 International Conference on Industry Sciences and Computer Science Innovation, iSCSi 2023

Y2 - 4 October 2023 through 6 October 2023

ER -

Exploratory prompting of large language models to act as co-pilots for augmenting business process work in document classification

ASJC Scopus Subject Areas

Keywords

UN SDGs

Access to Document

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