Supplementary Materials (Appendix) for: GADM-APE: A Genetic Algorithm-Driven, Definition-Integrated, Multistep Automatic Prompt Engineer Framework for Disaster Tweet Classification
Abstract
This repository contains the appendix and supplementary materials for the manuscript: GADM-APE: A Genetic Algorithm-Driven, Definition-Integrated, Multistep Automatic Prompt Engineer Framework for Disaster Tweet Classification. The appendix provides detailed prompt designs and examples used in the study, including: Examples of definition-integrated, multistep prompts for disaster tweet classification Baseline prompts and manually crafted expert prompts with input–output examples The optimal prompts identified by different Automatic Prompt Engineering (APE) methods, including greedy APE, iterative APE, and the proposed GADM-APE framework.
Fields of Study & Subjects
Topic Modeling
Text and Document Classification Technologies
Public Relations and Crisis Communication
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 16 January 2026