4 papers
RAGEAR: Retrieval-Augmented Graph-Enhanced Academic Recommender
Francesco Granata, Lorenzo Lamazzi, Misael Mongiovì +2
We present RAGEAR (Retrieval-Augmented Graph-Enhanced Academic Recommender), a neurosymbolic recommender system for academic course recommendation. RAGEAR combines dense retrieval…
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…
LEAD: LLM-enhanced Engine for Author Disambiguation
Giusy Giulia Tuccari, Lorenzo Giammei, Andrea Giovanni Nuzzolese +3
Author Name Disambiguation (AND) is a long-standing challenge in bibliometrics and scientometrics, as name ambiguity undermines the accuracy of bibliographic databases and the reli…
Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios
Luana Bulla, Gabriele Tuccio, Misael Mongiovì +1
Translating natural languages into sign languages is a highly complex and underexplored task. Despite growing interest in accessibility and inclusivity, the development of robust t…