Aligning Large Language Models with Diverse Political Viewpoints

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Stammbach, Dominik, Widmer, Philine, Cho, Eunjung, Gulcehre, Caglar, Ash, Elliott
Format: Preprint
Publié: 2024
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866916422638108672
author Stammbach, Dominik
Widmer, Philine
Cho, Eunjung
Gulcehre, Caglar
Ash, Elliott
author_facet Stammbach, Dominik
Widmer, Philine
Cho, Eunjung
Gulcehre, Caglar
Ash, Elliott
contents Large language models such as ChatGPT exhibit striking political biases. If users query them about political information, they often take a normative stance. To overcome this, we align LLMs with diverse political viewpoints from 100,000 comments written by candidates running for national parliament in Switzerland. Models aligned with this data can generate more accurate political viewpoints from Swiss parties, compared to commercial models such as ChatGPT. We also propose a procedure to generate balanced overviews summarizing multiple viewpoints using such models. The replication package contains all code and data.
format Preprint
id arxiv_https___arxiv_org_abs_2406_14155
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Aligning Large Language Models with Diverse Political Viewpoints
Stammbach, Dominik
Widmer, Philine
Cho, Eunjung
Gulcehre, Caglar
Ash, Elliott
Computation and Language
Large language models such as ChatGPT exhibit striking political biases. If users query them about political information, they often take a normative stance. To overcome this, we align LLMs with diverse political viewpoints from 100,000 comments written by candidates running for national parliament in Switzerland. Models aligned with this data can generate more accurate political viewpoints from Swiss parties, compared to commercial models such as ChatGPT. We also propose a procedure to generate balanced overviews summarizing multiple viewpoints using such models. The replication package contains all code and data.
title Aligning Large Language Models with Diverse Political Viewpoints
topic Computation and Language
url https://arxiv.org/abs/2406.14155