Large language models (LLMs) have been leveraged for several years now, obtaining state-
of-the-art performance in recognizing entities from modern documents. For the last few …

The efficacy of large-scale language models (LLMs) as few-shot learners has dominated the
field of natural language processing, achieving state-of-the-art performance in most tasks …

The digitization of historical documents is a critical task for preserving cultural heritage and
making vast amounts of information accessible to the wider public. One of the challenges in …

In the evolving field of Natural Language Processing, understanding the temporal context of
text is increasingly crucial. This study investigates methods to incorporate temporal …

Historical newspapers serve as invaluable resources for understanding past societies and
preserving cultural heritage. However, digitizing these newspapers presents challenges due …

Nowadays, the accessibility and long-term preservation of historical records are significantly
impacted by the sharp increase in the digitization of these archives. This shift creates new …

Large language models (LLMs) have been leveraged for several years now, obtaining state-
of-the-art performance in recognizing entities from modern documents. For the last few …

Les modèles de langage de grande taille (LLM) sont exploités depuis plusieurs années
maintenant, obtenant des performances de pointe dans la reconnaissance d'entités à partir …

Les modèles de langage de grande taille (LLM) sont exploités depuis plusieurs années
maintenant, obtenant des performances de l'état de l'art dans la reconnaissance d'entités à …