From the 1 of 3 linked papers with an AI index.
3 papers
How Temperature Shapes Ideological Discourse in Retrieval-Augmented Generation?
Elmira Salari, Hazem Amamou, José Victor de Souza +3
The paper investigates how the sampling temperature of large language models influences the transfer of ideological discourses from retrieved COVID‑19 treatment articles in Retriev…
The Impact of Ideological Discourses in RAG: A Case Study with COVID-19 Treatments
Elmira Salari, Maria Claudia Nunes Delfino, Hazem Amamou +4
This paper studies the impact of retrieved ideological texts on the outputs of large language models (LLMs). While interest in understanding ideology in LLMs has recently increased…
Towards Robust Retrieval-Augmented Generation Based on Knowledge Graph: A Comparative Analysis
Hazem Amamou, Stéphane Gagnon, Alan Davoust +1
Retrieval-Augmented Generation (RAG) was introduced to enhance the capabilities of Large Language Models (LLMs) beyond their encoded prior knowledge. This is achieved by providing…