51 citations · 55 across the 8 of their papers we have counts for
9 papers
GrammarRL: Effective Grammar-Constrained Decoding via Reinforcement Learning
Gabriele Tuccio, Antonino Furnari, Aldo Gangemi +1
Grammar-constrained generation guarantees syntactic validity, but can substantially degrade semantic quality when the model's preferred outputs are poorly aligned with the imposed…
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…
Do Language Models Understand Morality? Towards a Robust Detection of Moral Content
Luana Bulla, Aldo Gangemi, Misael Mongiovì
The task of detecting moral values in text has significant implications in various fields, including natural language processing, social sciences, and ethical decision-making. Prev…