10 citations · 10 across the 4 of their papers we have counts for
5 papers · 1 filter
Mimir: Large-scale Multilingual Concept Modeling
Elio Musacchio, Lucia Siciliani, Pierpaolo Basile
Current language modeling approaches are built around tokens. Text corpora are split into tokens, and models are trained by performing computations on these tokens, such as predict…
Challenging the Abilities of Large Language Models in Italian: a Community Initiative
Malvina Nissim, Danilo Croce, Viviana Patti +78
The rapid progress of Large Language Models (LLMs) has transformed natural language processing and broadened its impact across research and society. Yet, systematic evaluation of t…
xVLM2Vec: Adapting LVLM-based embedding models to multilinguality using Self-Knowledge Distillation
Elio Musacchio, Lucia Siciliani, Pierpaolo Basile +1
In the current literature, most embedding models are based on the encoder-only transformer architecture to extract a dense and meaningful representation of the given input, which c…
Exploring the Word Sense Disambiguation Capabilities of Large Language Models
Pierpaolo Basile, Lucia Siciliani, Elio Musacchio +1
Word Sense Disambiguation (WSD) is a historical task in computational linguistics that has received much attention over the years. However, with the advent of Large Language Models…
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…