Review of biased research on large language models

Xu Lei
Hu Yahao
Pan Zhisong
College of Command & Control Engineering, Army Engineering University of PLA, Nanjing 210007, China

Abstract

The phenomenon of bias is prevalent in human society, often manifested through natural language. Traditional bias studies have mainly focused on static word embedding models, but with the continuous evolution of natural language processing technology, research has gradually shifted towards pre-trained models with stronger contextual processing capabilities. As pre-trained models further develop, although large language models have been widely deployed in multiple applications due to their remarkable performance and broad prospects, they may still capture social biases from unprocessed training data and propagate these biases to downstream tasks. Biased large language model systems can cause adverse social impacts and other potential harm. Therefore, there is an urgent need for further exploration of bias in large language models. This paper discusses the origins of bias in natural language processing and provides an analysis and summary of the development of bias evaluation and mitigation methods from word embedding models to the current large language models, aiming to provide valuable references for future related research.

Foundation Support

国家自然科学基金资助项目(62076251)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.02.0020
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 10

Publish History

[2024-04-23] Accepted Paper

Cite This Article

徐磊, 胡亚豪, 潘志松. 针对大语言模型的偏见性研究综述 [J]. 计算机应用研究, 2024, 41 (10). (2024-07-12). https://doi.org/10.19734/j.issn.1001-3695.2024.02.0020. (Xu Lei, Hu Yahao, Pan Zhisong. Review of biased research on large language models [J]. Application Research of Computers, 2024, 41 (10). (2024-07-12). https://doi.org/10.19734/j.issn.1001-3695.2024.02.0020. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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