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Found 4 papers, 2 papers with code
The Curious Case of Logistic Regression for Italian Languages and Dialects Identification
In this paper, we propose an extensive evaluation of different approaches for the identification of Italian dialects and languages, spanning from classical machine learning models to more complex neural architectures and state-of-the-art pre-trained language models.
Limits of Transformer Language Models on Learning Algorithmic Compositions
We analyze the capabilities of Transformer language models on learning discrete algorithms.
Abstract Visual Reasoning Enabled by Language
While artificial intelligence (AI) models have achieved human or even superhuman performance in many well-defined applications, they still struggle to show signs of broad and flexible intelligence.
The effectiveness of factorization and similarity blending
Collaborative Filtering (CF) is a widely used technique which allows to leverage past users' preferences data to identify behavioural patterns and exploit them to predict custom recommendations.
