9 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…
RALS: Resources and Baselines for Romanian Automatic Lexical Simplification
Fabian Anghel, Petru Theodor Cristea, Claudiu Creanga +1
We introduce the first dataset that jointly covers both lexical complexity prediction (LCP) annotations and lexical simplification (LS) for Romanian, along with a comparison of lex…
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…
Few-shot text-based emotion detection
Teodor-George Marchitan, Claudiu Creanga, Liviu P. Dinu
This paper describes the approach of the Unibuc - NLP team in tackling the SemEval 2025 Workshop, Task 11: Bridging the Gap in Text-Based Emotion Detection. We mainly focused on ex…
Qwen it detect machine-generated text?
Teodor-George Marchitan, Claudiu Creanga, Liviu P. Dinu
This paper describes the approach of the Unibuc - NLP team in tackling the Coling 2025 GenAI Workshop, Task 1: Binary Multilingual Machine-Generated Text Detection. We explored bot…
Transformer and Hybrid Deep Learning Based Models for Machine-Generated Text Detection
Teodor-George Marchitan, Claudiu Creanga, Liviu P. Dinu
This paper describes the approach of the UniBuc - NLP team in tackling the SemEval 2024 Task 8: Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text Detec…