26 citations · 54 across the 30 of their papers we have counts for
8 papers · 1 filter
Measuring reasoning capabilities of ChatGPT
Adrian Groza
I shall quantify the logical faults generated by ChatGPT when applied to reasoning tasks. For experiments, I use the 144 puzzles from the library \url{https://users.utcluj.ro/~agro…
Forest Mixing: investigating the impact of multiple search trees and a shared refinements pool on ontology learning
Marco Pop-Mihali, Adrian Groza
We aim at development white-box machine learning algorithms. We focus here on algorithms for learning axioms in description logic. We extend the Class Expression Learning for Ontol…
Brave new world: Artificial Intelligence in teaching and learning
Adrian Groza, Anca Marginean
We exemplify how Large Language Models are used in both teaching and learning. We also discuss the AI incidents that have already occurred in the education domain, and we argue for…
Formalising Natural Language Quantifiers for Human-Robot Interactions
Stefan Morar, Adrian Groza, Mihai Pomarlan
We present a method for formalising quantifiers in natural language in the context of human-robot interactions. The solution is based on first-order logic extended with capabilitie…
Interleaving GANs with knowledge graphs to support design creativity for book covers
Alexandru Motogna, Adrian Groza
An attractive book cover is important for the success of a book. In this paper, we apply Generative Adversarial Networks (GANs) to the book covers domain, using different methods f…
Ontology engineering with Large Language Models
Patricia Mateiu, Adrian Groza
We tackle the task of enriching ontologies by automatically translating natural language sentences into Description Logic. Since Large Language Models (LLMs) are the best tools for…