A Systematic Literature Review on LLM-Based Information Retrieval: The Issue of Contents Classification

Diogo Cosme, António Galvão, Fernando Brito E Abreu

2024

Abstract

This paper conducts a systematic literature review on applying Large Language Models (LLMs) in information retrieval, specifically focusing on content classification. The review explores how LLMs, particularly those based on transformer architectures, have addressed long-standing challenges in text classification by leveraging their advanced context understanding and generative capabilities. Despite the rapid advancements, the review identifies gaps in current research, such as the need for improved transparency, reduced computational costs, and the handling of model hallucinations. The paper concludes with recommendations for future research directions to optimize the use of LLMs in content classification, ensuring their effective deployment across various domains.

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Paper Citation


in Harvard Style

Cosme D., Galvão A. and Brito E Abreu F. (2024). A Systematic Literature Review on LLM-Based Information Retrieval: The Issue of Contents Classification. In Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR; ISBN 978-989-758-716-0, SciTePress, pages 135-146. DOI: 10.5220/0013062300003838


in Bibtex Style

@conference{kdir24,
author={Diogo Cosme and António Galvão and Fernando Brito E Abreu},
title={A Systematic Literature Review on LLM-Based Information Retrieval: The Issue of Contents Classification},
booktitle={Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR},
year={2024},
pages={135-146},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013062300003838},
isbn={978-989-758-716-0},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR
TI - A Systematic Literature Review on LLM-Based Information Retrieval: The Issue of Contents Classification
SN - 978-989-758-716-0
AU - Cosme D.
AU - Galvão A.
AU - Brito E Abreu F.
PY - 2024
SP - 135
EP - 146
DO - 10.5220/0013062300003838
PB - SciTePress