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cs.CL2026
LLM-Assisted Label Noise Correction for EEG-Based Sleep Stage Classification
Elmira Salari, Shruti Kshirsagar
Automatic sleep stage classification from electroencephalography (EEG) signals is a critical task in clinical sleep medicine. While deep learning models have shown promising result…
cs.CL2026
How Temperature Shapes Ideological Discourse in Retrieval-Augmented Generation?
Elmira Salari, Hazem Amamou, José Victor de Souza +3
Retrieval-Augmented Generation (RAG) has been increasingly adopted to reduce hallucinations and strengthen the factual grounding of large language models (LLMs). While robustness t…
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…