Compiling a Danish Benchmark Dataset for Assessing Selected Reasoning Capabilities of Large Language Models
Name of applicant
bolette pedersen
Title
Professor
Institution
University of Copenhagen
Amount
DKK 804,553
Year
2023
Type of grant
Research Infrastructure
Summary
The project compiles a robust general reasoning benchmark dataset for Danish for assessing large language models (LLMs). Our dataset derives from theory about: 1) how our language and vocabulary work as a system, 2) how humans think and act with language, and 3) how the Danish language community differs from e.g. English wrt. linguistic expressivity and cultural identity.