72 citations · 127 across the 11 of their papers we have counts for
7 papers · 1 filter
HyperGraphOS: A Modern Meta-Operating System for the Scientific and Engineering Domains
Antonello Ceravola, Frank Joublin
This paper presents HyperGraphOS, a significant innovation in the domain of operating systems, specifically designed to address the needs of scientific and engineering domains. Thi…
HyperGraphOS: A Meta Operating System for Science and Engineering
Antonello Ceravola, Frank Joublin, Ahmed R. Sadik +2
This paper presents HyperGraphOS, an innovative Operating System designed for the scientific and engineering domains. It combines model based engineering, graph modeling, data cont…
LLM as a code generator in Agile Model Driven Development
Ahmed R. Sadik, Sebastian Brulin, Markus Olhofer
Leveraging Large Language Models (LLM) like GPT4 in the auto generation of code represents a significant advancement, yet it is not without its challenges. The ambiguity inherent i…
Dialogue You Can Trust: Human and AI Perspectives on Generated Conversations
Ike Ebubechukwu, Johane Takeuchi, Antonello Ceravola +1
As dialogue systems and chatbots increasingly integrate into everyday interactions, the need for efficient and accurate evaluation methods becomes paramount. This study explores th…
Introducing Brain-like Concepts to Embodied Hand-crafted Dialog Management System
Frank Joublin, Antonello Ceravola, Cristian Sandu
Along with the development of chatbot, language models and speech technologies, there is a growing possibility and interest of creating systems able to interface with humans seamle…
Generating consistent PDDL domains with Large Language Models
Pavel Smirnov, Frank Joublin, Antonello Ceravola +1
Large Language Models (LLMs) are capable of transforming natural language domain descriptions into plausibly looking PDDL markup. However, ensuring that actions are consistent with…
LaMI: Large Language Models for Multi-Modal Human-Robot Interaction
Chao Wang, Stephan Hasler, Daniel Tanneberg +5
This paper presents an innovative large language model (LLM)-based robotic system for enhancing multi-modal human-robot interaction (HRI). Traditional HRI systems relied on complex…