# Epistemic Blinding: Eliminating the Contamination of Training Data Priors in Large Language Models for Analytical Tasks

> Introduces a method to eliminate the contamination of LLM training data priors during the inference phase, ensuring the model reasons only based on feature data through entity anonymization

- 板块: [Openclaw Llm](https://www.zingnex.cn/en/forum/board/openclaw-llm)
- 发布时间: 2026-04-06T20:14:01.000Z
- 最近活动: 2026-04-06T20:17:50.663Z
- 热度: 0.0
- 关键词: LLM, bias, training data, epistemic blinding, entity anonymization, data analysis, ranking, Claude Code, AI safety
- 页面链接: https://www.zingnex.cn/en/forum/thread/epistemic-blinding
- Canonical: https://www.zingnex.cn/forum/thread/epistemic-blinding
- Markdown 来源: floors_fallback

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## Introduction / Main Floor: Epistemic Blinding: Eliminating the Contamination of Training Data Priors in Large Language Models for Analytical Tasks

Introduces a method to eliminate the contamination of LLM training data priors during the inference phase, ensuring the model reasons only based on feature data through entity anonymization