Intelligent Assisted Decision-Making Framework for Domain-Specific Advice Using Large- Language Models

Yan Zhong, Kun Lan, Simon Fong, Dennis Wong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Large language models have demonstrated remarkable capabilities in facilitating general human-computer interactions. However, their effectiveness in providing domain-specific information in professional fields is limited. In this paper, we present an intelligent assisted decision-making framework utilizing large-language models to provide professional advice in taxation. By augmenting the large language model with a domain-specific database, we aim to overcome the limitations of generic language models and provide professional advice for tax-related queries. The results of our study indicate that the proposed framework sur-passes the credibility of generic large language models by providing domain-specific advice in taxation.

Original languageEnglish
Title of host publicationProceedings - 2023 3rd International Conference on Digital Data Processing, DDP 2023
EditorsEzendu Ariwa, Ezendu Ariwa, Simon Fong
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages24-30
Number of pages7
ISBN (Electronic)9798350329018
DOIs
Publication statusPublished - 2023
Event3rd International Conference on Digital Data Processing, DDP 2023 - Luton, United Kingdom
Duration: 27 Nov 202329 Nov 2023

Publication series

NameProceedings - 2023 3rd International Conference on Digital Data Processing, DDP 2023

Conference

Conference3rd International Conference on Digital Data Processing, DDP 2023
Country/TerritoryUnited Kingdom
CityLuton
Period27/11/2329/11/23

Keywords

  • Domain Knowledge
  • Large language model
  • Tax

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