Author

Ruksat Khan Shayoni

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Preprint Jul 2026

EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning

ERAG is introduced, an uncertainty-aware RAG framework that converts retrieved chunks into probabilistic evidence before generation and suggests that evidential modeling is a practical mechanism for trustworthy information processing in foundation-model-based retrieval systems.

S. Hossain, Ruksat Khan Shayoni, M. F. Mridha · 0 citations

Jul 2026

EduGuard: A Safe RAG-Based LLM Tutor for Programming Education

E EduGuard, a safe retrieval-augmented generation (RAG) tutoring framework for introductory programming, is presented and compared against strong baselines, suggesting safe GenAI tutoring requires not only retrieval or strong prompting, but explicit pedagogical control, evidence verification, and deployment safeguards.

S. M. Asif Hossain, Ruksat Khan Shayoni, M. F. Mridha et al. · arXiv.org · 0 citations