4 papers
Back to Back with a Copy: A Computational Analysis of AI-Generated Visual Contemporary Art Pastiches
Anca Dinu, Andreiana Mihail, Andra-Maria Florescu +2
The aim of this paper is twofold. First, it investigates whether newer generative models are getting better at pastiching contemporary artworks. Second, it explores the consistency…
The Art That Poses Back: Assessing AI Pastiches after Contemporary Artworks
Anca Dinu, Andreiana Mihail, Andra-Maria Florescu +1
This study explores artificial visual creativity, focusing on ChatGPT's ability to generate new images intentionally pastiching original artworks such as paintings, drawings, sculp…
Measuring cross-language intelligibility between Romance languages with computational tools
Liviu P Dinu, Ana Sabina Uban, Bogdan Iordache +2
We present an analysis of mutual intelligibility in related languages applied for languages in the Romance family. We introduce a novel computational metric for estimating intellig…
A Comparative Approach to Assessing Linguistic Creativity of Large Language Models and Humans
Anca Dinu, Andra-Maria Florescu, Alina Resceanu
The following paper introduces a general linguistic creativity test for humans and Large Language Models (LLMs). The test consists of various tasks aimed at assessing their ability…