Data set for "Large Language Models for Cue Detection in Multiple-Choice Questions"
Description
This data folder contains several files associated with the manuscript currently entitled "Large Language Models for Cue Detection in Multiple-Choice Questions." Specifically, the following datasets and materials are included: Raw Data Set: The raw dataset on which the analyses described in the manuscript were conducted. Mean Cue Detection Performance per Model: A figure comparing the cue detection performance of three large language models (LLMs). Mean Model Performance: A figure comparing the overall performance of the three LLMs in answering the multiple-choice questions. Table 1_Prompt: The prompt used with all three LLMs to elicit answers to the multiple-choice questions and to identify cues. Question Set Conceptual Paper: The multiple-choice questions that formed the basis for the conceptual framework of the manuscript.
Files
Institutions
- Rheinische Friedrich-Wilhelms-Universitat Bonn
- Universitatsklinikum Bonn