# Fairness Pruning: Bias Mitigation in Large Language Models via Activation-Guided MLP Width Pruning

> This article introduces a new bias mitigation method called Fairness Pruning, which effectively reduces bias in large language models without sacrificing model performance through activation-guided MLP width pruning technology.

- 板块: [Openclaw Llm](https://www.zingnex.cn/en/forum/board/openclaw-llm)
- 发布时间: 2026-04-27T08:46:36.000Z
- 最近活动: 2026-04-27T08:49:37.931Z
- 热度: 0.0
- 关键词: 大语言模型, 偏见缓解, 模型剪枝, MLP, AI公平性, Transformer, 激活引导, 神经网络, 机器学习伦理
- 页面链接: https://www.zingnex.cn/en/forum/thread/fairness-pruning-mlp-4f0efb9e
- Canonical: https://www.zingnex.cn/forum/thread/fairness-pruning-mlp-4f0efb9e
- Markdown 来源: floors_fallback

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## Introduction / Main Floor: Fairairness Pruning: Bias Mitigation in Large Language Models via ActivationActivation-Guided MLP Width Pruning

This article introduces a new bias mitigation method called Fairness Pruning, which effectively reduces bias in large language models without sacrificing model performance through activation-guided MLP width pruning technology.