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Updated: Jan 16, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

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模拟公众论:比较LLM和随机森林的分布和个人级预测

Fernando Miranda1, Pedro Paulo Balbi1,2

  • 1Programa de Pós-Graduação em Engenharia Elétrica e Computação, Universidade Presbiteriana Mackenzie, São Paulo 01302-000, SP, Brazil.

Entropy (Basel, Switzerland)
|September 27, 2025
PubMed
概括

大型语言模型 (LLM) 可以使用调查数据模拟个人意见. 与传统模型相比,LLM可以更好地预测综合意见分布,从而推进了计算社会科学.

关键词:
詹森香农的分歧.法学士 (LLM) 是一个专业.公众论模拟系统随机的森林随机的森林社会科学 社会科学 社会科学

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