Recent advancements in artificial intelligence, particularly with the emergence of large
language models (LLMs), have sparked a rethinking of artificial general intelligence …

It is increasingly common to interact with products that seem “intelligent”, although the label
“artificial intelligence” may have been replaced by other euphemisms. Since November …

Cada vez es más común interactuar con productos que parecen “inteligentes”, aunque
quizás la etiqueta “inteligencia artificial” haya sido sustituida por otros eufemismos. Desde …

Abstract We explore using Large Language Models (LLMs) to generate application code
that automates health insurance processes from text-based policies. We target blockchain …

Large language models (LLMs), such as ChatGPT and GPT-4, are gaining wide-spread real
world use. Yet, these LLMs are closed source, and little is known about their performance in …

Multiple studies have claimed that artificial intelligence (AI), particularly large language
models (LLMs), can simulate human-like responses on various psychological tasks such …

Social network rumor harm metric is a task to score the harm caused by a rumor by
analyzing the spreading range of the rumor, the users affected, the repercussions caused …

Modern language models can process inputs across diverse languages and modalities. We
hypothesize that models acquire this capability through learning a shared representation …

The rise of Large Language Models (LLMs), such as LLaMA and ChatGPT, has opened new
opportunities for enhancing recommender systems through improved explainability. This …

The combination of lightly supervised pre-training and online fine-tuning has played a key
role in recent AI developments. These new learning pipelines call for new theoretical …