Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Bogaert, Jeremie"'
Autor:
Bogaert, Jeremie, de Marneffe, Marie-Catherine, Descampe, Antonin, Escouflaire, Louis, Fairon, Cedrick, Standaert, Francois-Xavier
Publikováno v:
Traitement Automatique des Langues 64, 2023, ATALA, Paris
Large language models (LLMs) perform very well in several natural language processing tasks but raise explainability challenges. In this paper, we examine the effect of random elements in the training of LLMs on the explainability of their prediction
Externí odkaz:
http://arxiv.org/abs/2410.05085
Autor:
Albert, Julien, Balfroid, Martin, Doh, Miriam, Bogaert, Jeremie, La Fisca, Luca, De Vos, Liesbet, Renard, Bryan, Stragier, Vincent, Jean, Emmanuel
Recommender systems have become integral to our digital experiences, from online shopping to streaming platforms. Still, the rationale behind their suggestions often remains opaque to users. While some systems employ a graph-based approach, offering
Externí odkaz:
http://arxiv.org/abs/2409.06297
The explanations of large language models have recently been shown to be sensitive to the randomness used for their training, creating a need to characterize this sensitivity. In this paper, we propose a characterization that questions the possibilit
Externí odkaz:
http://arxiv.org/abs/2403.10275