| Vol-3571 urn:nbn:de:0074-3571-0 Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# GENERAL 2023
GENerative, Explainable and Reasonable Artificial Learning Workshop 2023

### Proceedings of the Workshop on GENerative, Explainable and Reasonable Artificial Learning
co-located with the 15th Biannual Conference of the Italian SIGCHI Chapter (CHITALY 2023)

### Torino, Italy, September 20-22, 2023.

Edited by

### Federico Torrielli *
Luigi Di Caro *
Amon Rapp *

* University of Torino, Department of Computer Science, Corso Svizzera 185 - 10149 Torino

## Table of Contents

- Preface
  Summary: There were 9 papers submitted for peer-review to this workshop. Out of these, 6 papers were accepted for this volume, 3 as regular papers and 3 as short papers.

### Paper session

- Paint it, BLACK: a Novel Methodology for Prompting 3-11
  Federico Torrielli
- Semantic Doppelgängers: How LLMs Replicate Lexical Knowledge 12-18
  Luigi Di Caro, Laura Ventrice, Stefano Locci, Rachele Mignone
- Generating Academic Abstracts: Controlled Text Generation Using Metrics from a Target Text Allows for Transparency in the Absence of Specialized Knowledge 19-30
  Elena Callegari, Desara Xhura, Peter Vajdecka
- Can LLMs assist humans in assessing online misogyny? Experiments with GPT-3.5 31-43
  Christian Morbidoni, Annalina Sarra
- Enhancing Semantic Resources via Large Language Models 44-53
  Laura Ventrice, Giovanni Siragusa
- Guidelines for the Use of Generative AI in Research Paper Writing 54-61
  Vladimiro Lovera Rulfi, Ivan Spada

2023-10-13: submitted by Federico Torrielli, metadata incl. bibliographic data published under Creative Commons CC0
2023-11-30: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|