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Attention-likelihood relationship in transformers
We analyze how large language models (LLMs) represent out-of-context words, investigating their reliance on the given context to …
Valeria Ruscio
,
Valentino Maiorca
,
Fabrizio Silvestri
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GitHub
Bloom: A 176b-parameter open-access multilingual language model
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language …
BIG-Science contributors including
,
Andrea Santilli
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arXiv
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Language models demonstrate both quantitative improvement and new qualitative capabilities with increasing scale. Despite their …
442 authors including
,
Andrea Santilli
,
Antonio Norelli
,
Emanuele Rodolà
,
Giambattista Parascandolo
,
Giorgio Mariani
,
Luca Moschella
,
Simone Melzi
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arXiv
Smoothness and effective regularizations in learned embeddings for shape matching
Many innovative applications require establishing correspondences among 3D geometric objects. However, the countless possible …
Riccardo Marin
,
Souhaib Attaiki
,
Simone Melzi
,
Emanuele Rodolà
,
Maks Ovsjanikov
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AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes
The Associazione Medici Diabetologi (AMD) collects and manages one of the largest worldwide available collections of diabetic patient …
Marianna Maranghi
,
Aris Anagnostopoulos
,
Irene Cannistraci
,
Ioannis Chatzigiannakis
,
Federico Croce
,
Giulia Di Teodoro
,
Michele Gentile
,
Giorgio Grani
,
Maurizio Lenzerini
,
Stefano Leonardi
,
Andrea Mastropietro
,
Laura Palagi
,
Massimiliano Pappa
,
Riccardo Rosati
,
Riccardo Valentini
,
Paola Velardi
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