Search Results for author: Marco Polignano

Found 5 papers, 1 papers with code

Advanced Natural-based interaction for the ITAlian language: LLaMAntino-3-ANITA

no code implementations11 May 2024 Marco Polignano, Pierpaolo Basile, Giovanni Semeraro

We fine-tuned the original 8B parameters instruction tuned model using the Supervised Fine-tuning (SFT) technique on the English and Italian language datasets in order to improve the original performance.

LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language

no code implementations15 Dec 2023 Pierpaolo Basile, Elio Musacchio, Marco Polignano, Lucia Siciliani, Giuseppe Fiameni, Giovanni Semeraro

By leveraging an open science philosophy, this study contributes to Language Adaptation strategies for the Italian language by introducing the novel LLaMAntino family of Italian LLMs.

Language Modelling Large Language Model +3

SWAP at SemEval-2019 Task 3: Emotion detection in conversations through Tweets, CNN and LSTM deep neural networks

1 code implementation SEMEVAL 2019 Marco Polignano, Marco de Gemmis, Giovanni Semeraro

Each conversation has been formalized as a list of word embeddings, in particular during experimental runs pre-trained Glove and Google word embeddings have been evaluated.

Sentence Word Embeddings

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