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

UN SDGs

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

SDG 3 Good Health and Well-being

ASJC Scopus Subject Areas

General Computer Science

Keywords

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

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/pages/publications/85195426854#tab=citedBy

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

UN SDGs

ASJC Scopus Subject Areas

Keywords

Access to Document

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