Evaluating LLM-Generated Finite State Machines: The Impact of Prompting Techniques on Structural and Semantic Accuracy

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Felix Cammaerts, Monique Snoeck
DOI: 10.5281/zenodo.18743825
Cited by: 0

Abstract

Data repository for the paper title "Evaluating LLM-Generated Finite State Machines: The Impact of Prompting Techniques on Structural and Semantic Accuracy". The repository contains two folders: one for ChatGPT and one for Claude. Those folders contain one word file for each case that contains the outputs of the conversations with the chatbots under the different prompting techniques.

Fields of Study & Subjects

Natural Language Processing Techniques Topic Modeling Speech and dialogue systems

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
23 February 2026
Language
EN
Document type
Dataset