Nihed Bendahman

hallucinations

Understanding AI Hallucinations: Causes, Techniques, and Evaluation

In details, Research / By

1. Introduction Generative artificial intelligence models have fundamentally transformed the way we create, access, and use information. However, their widespread adoption comes with a major challenge: hallucinations, the generation of content that appears credible and fluent but is factually incorrect or entirely fabricated. Today, hallucinations represent one of the most significant obstacles to the reliability […]

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Not all Hallucinations are Good to Throw Away When it Comes to Legal Abstractive Summarization

Innovation, Research / By

The extensive use of Large Language Models (LLMs) for summarization tasks brings new challenges. One of the most important is related to the LLMs’ tendency to generate hallucinations, i.e., texts that give the impression of being fluid and natural, despite their lack of fidelity and nonsensical nature. Hallucinations can be factual: a source of knowledge,

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Lawyers documents.

What are the evolutions of this law? Between abstraction and hallucination in the field of the summary of legal texts

In details, Research / By

Context Legal monitoring is a crucial activity for legal experts in order to remain in phase with legal news. It allows them to be permanently aware of current regulations and to anticipate their future evolutions, in order to apply them as soon as possible. However, with the constant inflation of legislation, the watchdogs themselves experience

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