Section 01
导读 / 主楼:Epistemic Blinding: Eliminating the Contamination of Training Data Priors in Large Language Models for Analytical Tasks
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