Supplementary Materials (Appendix) for: GADM-APE: A Genetic Algorithm-Driven, Definition-Integrated, Multistep Automatic Prompt Engineer Framework for Disaster Tweet Classification

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Authors: Lihua Fu, Lu Zhang
Cited by: 0

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