Work

TextuaLLMap

Year: 2024

Type: preprint

Abstract: TextuaLLMap is a textual dataset for investigating bias in Large Language Models. The dataset can be used to perform natural language processing on various models when the latter debate social topics.

DOI: 10.31234/osf.io/xwpe8

Authors: Riccardo Improta, Giuseppe Alessandro Veltri, Massimo Stella

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W4402330786

Cites:

Cited by: 2

Related to: 10