most citedLaMI: Large Language Models for Multi-Modal Human-Robot Interaction

72 citations · 93 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2024

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…

cs.RO20241 cited

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…

cs.RO202472 cited

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…

cs.SE20237 cited

Analysis of ChatGPT on Source Code

Ahmed R. Sadik, Antonello Ceravola, Frank Joublin +1

This paper explores the use of Large Language Models (LLMs) and in particular ChatGPT in programming, source code analysis, and code generation. LLMs and ChatGPT are built using ma…

cs.AI202313 cited

A Glimpse in ChatGPT Capabilities and its impact for AI research

Frank Joublin, Antonello Ceravola, Joerg Deigmoeller +3

Large language models (LLMs) have recently become a popular topic in the field of Artificial Intelligence (AI) research, with companies such as Google, Amazon, Facebook, Amazon, Te…