The examination of gender bias, alongside other demographic biases like race, nationality, and religion, within generative large language models (LLMs), is increasingly capturing the attention of both the scientific community and industry stakeholders. These biases often affect generative LLMs, influencing popular products and potentially compromising user experiences. A growing body of research is dedicated to enhancing gender representations in natural language processing (NLP) across a spectrum of generative LLMs. This paper explores the current research focused on identifying and evaluating gender bias in generative LLMs. A comprehensive investigation is conducted to evaluate and mitigate gender bias across five distinct generative LLMs. The mitigation strategies implemented yield significant improvements in gender bias scores, with performance enhancements of up to 46% compared to zero-shot text generation approaches. Additionally, we explore how different levels of LLM precision and quantization impact gender bias, providing insights into how technical factors influence bias mitigation strategies. By tackling these challenges and suggesting areas for future research, we aim to contribute to the ongoing discussion about gender bias in language technologies, promoting more equitable and inclusive NLP systems.

Hanqing Zhou

Diana Inkpen

Burak Kantarci

International Journal of Computers Communications & Control

International Journal of Computers Communications & Control is directed to the international communities of scientific researchers in computers, communications and control, from the universities, research units and industry. To differentiate from other similar journals, the editorial policy of IJCCC encourages the submission of original scientific papers that focus on the integration of the 3 "C" (Computing, Communications, Control).

In particular, the following topics are expected to be addressed by authors:
(1) Integrated solutions in computer-based control and communications;
(2) Computational intelligence methods & Soft computing (with particular emphasis on fuzzy logic-based methods, computing with words, ANN, evolutionary computing, collective/swarm intelligence);
(3) Advanced decision support systems (with particular emphasis on the usage of combined solvers and/or web technologies).

The International Journal of Computers, Communications and Control serves the international community of scientific researchers in the fields of computers, communications, and control, including universities, research institutions, and industry. To distinguish itself from other similar journals, IJCCC encourages the submission of original scientific papers that focus on the integration of the three "C"s: Computing, Communications, and Control.\n\nIn particular, authors are expected to address the following topics: \n(1) Integrated solutions in computer-based control and communications; \n(2) Computational intelligence methods and soft computing (with a particular emphasis on fuzzy logic-based methods, computing with words, artificial neural networks, evolutionary computing, and collective/swarm intelligence); \n(3) Advanced decision support systems (with a particular emphasis on the use of combined solvers and/or web technologies).

《International Journal of Computers, Communications and Control》旨在服务于计算机、通信和控制领域的国际科学研究社区，包括大学、研究机构和工业界。为了与其他类似期刊区分开来，IJCCC的编辑政策鼓励提交原创科学论文，重点关注三者的整合：计算、通信和控制。\n\n特别地，作者应关注以下主题：\n(1) 基于计算机的控制和通信的集成解决方案；\n(2) 计算智能方法与软计算（特别强调模糊逻辑方法、词汇计算、人工神经网络、进化计算、集体/群体智能）；\n(3) 高级决策支持系统（特别强调结合求解器和/或网络技术的使用）。

Category	Quartile
计算机科学	4
计算机科学, 自动化与控制系统	4
计算机科学, 计算机信息系统	4

Evaluating and Mitigating Gender Bias in Generative Large Language Models

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Journal Info

Category	Quartile
COMPUTER SCIENCE, INFORMATION SYSTEMS	3