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Who cites «Evaluating RAG Pipelines for Arabic Lexical Information Retrieval: A Comparative Study of Embedding and Generation Models»

6 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · ← back to «Evaluating RAG Pipelines for Arabic Lexical Information Retrieval: A Comparative Study of Embedding and Generation Models»

  1. Grounding Arabic LLMs in the Doha Historical Dictionary: Retrieval-Augmented Understanding of Quran and HaditharXiv:2603.23972Somaya Eltanbouly, Samer Rashwani2026

1 more paper of our library cites it; it has no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/rasheed-2025-evaluating-rag-pipelines-arabic-lexical/cited-by/