2.5k citations
- National Research CouncilLK45 papers
- University of BolognaIT12 papers
- Universidad Carlos III de MadridES11 papers
- Sapienza University of RomeIT9 papers
- Middlesex University LondonGB4 papers
- Sorbonne UniversitéFR4 papers
- University College LondonGB4 papers
- University of SheffieldGB4 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Institut Systèmes Intelligents et de RobotiqueFR3 papers
- Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"IT3 papers
- KU LeuvenBE3 papers
64 papers
Self-Organizing Railway Traffic Management
Federico Naldini, Fabio Oddi, Leo D'Amato +3
Improving traffic management in case of perturbation is one of the main challenges in today's railway research. The great majority of the existing literature proposes approaches to…
Enhancing Retrieval-Augmented Generation with Entity Linking for Educational Platforms
Francesco Granata, Francesco Poggi, Misael Mongiovì
In the era of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures are gaining significant attention for their ability to ground language generation in…
The Belief-Desire-Intention Ontology for modelling mental reality and agency
Sara Zuppiroli, Carmelo Fabio Longo, Anna Sofia Lippolis +6
The Belief-Desire-Intention (BDI) model is a cornerstone for representing rational agency in artificial intelligence and cognitive sciences. Yet, its integration into structured, s…
Hanging Around: Cognitive Inspired Reasoning for Reactive Robotics
Mihai Pomarlan, Stefano De Giorgis, Rachel Ringe +2
Situationally-aware artificial agents operating with competence in natural environments face several challenges: spatial awareness, object affordance detection, dynamic changes and…
The Wilhelm Tell Dataset of Affordance Demonstrations
Rachel Ringe, Mihai Pomarlan, Nikolaos Tsiogkas +3
Affordances - i.e. possibilities for action that an environment or objects in it provide - are important for robots operating in human environments to perceive. Existing approaches…
Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1M
Dario Di Palma, Felice Antonio Merra, Maurizio Sfilio +3
Large Language Models (LLMs) have become increasingly central to recommendation scenarios due to their remarkable natural language understanding and generation capabilities. Althou…