3 papers
cs.CL2026
SPD-RAG: Sub-Agent Per Document Retrieval-Augmented Generation
Yagiz Can Akay, Muhammed Yusuf Kartal, Esra Alparslan +2
Answering complex, real-world queries often requires synthesizing facts scattered across vast document corpora. In these settings, standard retrieval-augmented generation (RAG) pip…
cs.CL2026
RAGTurk: Best Practices for Retrieval Augmented Generation in Turkish
Süha Kağan Köse, Mehmet Can Baytekin, Burak Aktaş +5
Retrieval-Augmented Generation (RAG) enhances LLM factuality, yet design guidance remains English-centric, limiting insights for morphologically rich languages like Turkish. We add…
cs.CL2025
RAGSmith: A Framework for Finding the Optimal Composition of Retrieval-Augmented Generation Methods Across Datasets
Muhammed Yusuf Kartal, Suha Kagan Kose, Korhan Sevinç +1
Retrieval-Augmented Generation (RAG) quality depends on many interacting choices across retrieval, ranking, augmentation, prompting, and generation, so optimizing modules in isolat…