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
9 papers · 1 filter
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…
Enhancing multimodal analogical reasoning with Logic Augmented Generation
Anna Sofia Lippolis, Andrea Giovanni Nuzzolese, Aldo Gangemi
Recent advances in Large Language Models have demonstrated their capabilities across a variety of tasks. However, automatically extracting implicit knowledge from natural language…