Grunnleggende konsepter
LLMs show political knowledge and reasoning abilities in the context of EU politics.
Sammendrag
The content delves into investigating Large Language Models (LLMs) in the European Union (EU) political spectrum. It explores the adaptation of Llama Chat on speeches from different euro-parties to analyze political biases and reasoning capabilities. The study aims to use LLMs as conversational engines for research in political science, focusing on contextualized auditing and political adaptation.
Directory:
- Introduction
- Discusses the role of Large Language Models (LLMs) in understanding political biases.
- Data Extraction
- Provides statistics on the distribution of speeches across EU languages and euro-parties.
- Related Work
- Compares findings from previous studies on LLMs' alignment with human preferences.
- JailBreaking Prompting
- Introduces alternative prompts to "jailbreak" Llama Chat for opinion sharing.
- Additional Results
- Presents detailed results for contextualized auditing settings A and B, model adaptation, and examples for contextualized auditing.
Statistikk
"The adapted models can be seen as data-driven mirrors of the parties’ ideologies."
"We observe that all models present similar convergence trends."
"Issues related to EU integration, economics, and law and order are discussed much more than issues related to the environment, immigration, and individual rights."
Sitater
"We see this work as a starting point for using LLMs to aid research in political science."
"Our model-based analysis finds GUE/NGL slightly more pro-EU compared to the ground truth."
"The analysis of political stances is a crucial part of this paper which by no means implies that we agree with this line of politics."