5 papers
Document-Level Text Simplification in Estonian Using Large Language Models
Meeri-Ly Muru, Eduard Barbu
Document-level text simplification involves transformations that go beyond sentence-internal edits, addressing discourse coherence, anaphora resolution, and cross-paragraph consist…
Do LLMs Understand Romanian Driving Laws? A Study on Multimodal and Fine-Tuned Question Answering
Eduard Barbu, Adrian Marius Dumitran
Ensuring that both new and experienced drivers master current traffic rules is critical to road safety. This paper evaluates Large Language Models (LLMs) on Romanian driving-law QA…
Emerging categories in scientific explanations
Giacomo Magnifico, Eduard Barbu
Clear and effective explanations are essential for human understanding and knowledge dissemination. The scope of scientific research aiming to understand the essence of explanation…
Can summarization approximate simplification? A gold standard comparison
Giacomo Magnifico, Eduard Barbu
This study explores the overlap between text summarization and simplification outputs. While summarization evaluation methods are streamlined, simplification lacks cohesion, prompt…
Improving Estonian Text Simplification through Pretrained Language Models and Custom Datasets
Eduard Barbu, Meeri-Ly Muru, Sten Marcus Malva
This paper presents a method for text simplification based on two neural architectures: a neural machine translation (NMT) model and a fine-tuned large language model (LLaMA). Give…