4 papers · 1 filter
Facet-Level Tracing of Evidence Uncertainty and Hallucination in RAG
Passant Elchafei, Monorama Swain, Shahed Masoudian +1
Retrieval-Augmented Generation (RAG) aims to reduce hallucination by grounding answers in retrieved evidence, yet hallucinated answers remain common even when relevant documents ar…
H-RAG at SemEval-2026 Task 8: Hierarchical Parent-Child Retrieval for Multi-Turn RAG Conversations
Passant Elchafei, Hossam Emam, Mohamed Alansary +2
We present H-RAG, our submission to SemEval-2026 Task 8 (MTRAGEval), addressing both Task A (Retrieval) and Task C (Generation with Retrieved Passages). Task A evaluates standalone…
Lexicon-Enriched Graph Modeling for Arabic Document Readability Prediction
Passant Elchafei, Mayar Osama, Mohamed Rageh +1
We present a graph-based approach enriched with lexicons to predict document-level readability in Arabic, developed as part of the Constrained Track of the BAREC Shared Task 2025.…
Span-Level Hallucination Detection for LLM-Generated Answers
Passant Elchafei, Mervet Abu-Elkheir
Detecting spans of hallucination in LLM-generated answers is crucial for improving factual consistency. This paper presents a span-level hallucination detection framework for the S…