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Open Models, Closed Minds? On Agents Capabilities in Mimicking Human Personalities through Open Large Language Models
The emergence of unveiling human-like behaviors in Large Language Models (LLMs) has led to a closer connection between NLP and human psychology, leading to a proliferation of computational agents.
Bringing order into the realm of Transformer-based language models for artificial intelligence and law
Transformer-based language models (TLMs) have widely been recognized to be a cutting-edge technology for the successful development of deep-learning-based solutions to problems and applications that require natural language processing and understanding.
Visually Wired NFTs: Exploring the Role of Inspiration in Non-Fungible Tokens
The fervor for Non-Fungible Tokens (NFTs) attracted countless creators, leading to a Big Bang of digital assets driven by latent or explicit forms of inspiration, as in many creative processes.
Show me your NFT and I tell you how it will perform: Multimodal representation learning for NFT selling price prediction
Non-Fungible Tokens (NFTs) represent deeds of ownership, based on blockchain technologies and smart contracts, of unique crypto assets on digital art forms (e. g., artworks or collectibles).
Unsupervised Law Article Mining based on Deep Pre-Trained Language Representation Models with Application to the Italian Civil Code
We define LamBERTa models by fine-tuning an Italian pre-trained BERT on the Italian civil code or its portions, for law article retrieval as a classification task.
Deep auscultation: Predicting respiratory anomalies and diseases via recurrent neural networks
Remarkably, to the best of our knowledge, we are the first to model a recurrent-neural-network based learning framework to support the clinician in detecting respiratory diseases, at either level of abnormal sounds or pathology classes.
Topology-driven Diversity for Targeted Influence Maximization with Application to User Engagement in Social Networks
However, little attention has been paid to the fact that the success of an information diffusion campaign might depend not only on the number of the initial influencers to be detected but also on their diversity w. r. t.
Social and Information Networks Physics and Society
