10 citations · 15 across the 3 of their papers we have counts for
3 papers
Advanced Natural-based interaction for the ITAlian language: LLaMAntino-3-ANITA
Marco Polignano, Pierpaolo Basile, Giovanni Semeraro
In the pursuit of advancing natural language processing for the Italian language, we introduce a state-of-the-art Large Language Model (LLM) based on the novel Meta LLaMA-3 model:…
LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language
Pierpaolo Basile, Elio Musacchio, Marco Polignano +3
Large Language Models represent state-of-the-art linguistic models designed to equip computers with the ability to comprehend natural language. With its exceptional capacity to cap…
GM-CTSC at SemEval-2020 Task 1: Gaussian Mixtures Cross Temporal Similarity Clustering
Pierluigi Cassotti, Annalina Caputo, Marco Polignano +1
This paper describes the system proposed for the SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection. We focused our approach on the detection problem. Given the se…