2 papers
cs.CL2026
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…
cs.CL2026
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…