Transformer language models have received widespread public attention, yet their
generated text is often surprising even to NLP researchers. In this survey, we discuss over …

In this article, we introduce and discuss the pervasive issue of bias in the large language
models that are currently at the core of mainstream approaches to Natural Language …

Italy is characterized by a one-of-a-kind linguistic diversity landscape in Europe, which
implicitly encodes local knowledge, cultural traditions, artistic expressions, and history of its …

Creating high-quality annotated data for task-oriented dialog (ToD) is known to be
notoriously difficult, and the challenges are amplified when the goal is to create equitable …

Although commonsense reasoning is greatly shaped by cultural and geographical factors,
previous studies have predominantly centered on cultures grounded in the English …

Building upon the considerable advances in Large Language Models (LLMs), we are now
equipped to address more sophisticated tasks demanding a nuanced understanding of …

Building autonomous agents able to grow open-ended repertoires of skills across their lives
is a fundamental goal of artificial intelligence (AI). A promising developmental approach …

In task-oriented dialogue (ToD), a user holds a conversation with an artificial agent with the
aim of completing a concrete task. Although this technology represents one of the central …

Research in innovation studies usually relies on financial statements, surveys, or patents as
primary data sources, although these sources of information show some limitations when …

Semantic parsing (SP) allows humans to leverage vast knowledge resources through
natural interaction. However, parsers are mostly designed for and evaluated on English …