1

Getting a good understanding of the user intent is vital for e-commerce applications to surface the right product to a given customer …

Datasets used to train deep learning models in industrial settings often exhibit skewed distributions with some samples repeated a …

This paper presents Fauno, the first and largest open-source Italian conversational Large Language Model (LLM). Our goal with Fauno is …

Universal sound separation consists of separating mixes with arbitrary sounds of different types, and permutation invariant training …

Autoregressive decoding limits the efficiency of transformers for Machine Translation (MT). The community proposed specific network …

The rise in loosely-structured data available through text, images, and other modalities has called for new ways of querying them. …

Neural networks embed the geometric structure of a data manifold lying in a high-dimensional space into latent representations. …

Autoregressive models have achieved impressive results over a wide range of domains in terms of generation quality and downstream task …

Few-shot graph classification is a novel yet promising emerging research field that still lacks the soundness of well-established …

Cross-lingual phenomena are quite common in informal contexts like social media, where users are likely to mix their native language …