Relations (1)

cross_type 2.00 — strongly supporting 3 facts

The concept of Question Answering is linked to arXiv because multiple research papers proposing new question-answering frameworks and systems, such as OntoRAG [1], G-retriever [2], and Factify5wqa [3], have been published as preprints on the arXiv platform.

Facts (3)

Sources
LLM-empowered knowledge graph construction: A survey - arXiv arxiv.org arXiv 1 fact
referenceYash Tiwari, Owais Ahmad Lone, and Mayukha Pal proposed OntoRAG, a system that enhances question-answering by automating ontology derivation from unstructured knowledge bases, as detailed in their 2025 arXiv preprint.
KG-IRAG: A Knowledge Graph-Based Iterative Retrieval-Augmented ... arxiv.org arXiv 1 fact
referenceThe research paper 'Factify5wqa: Fact verification through 5w question-answering' is available as arXiv preprint arXiv:2410.04236.
Knowledge Graph Combined with Retrieval-Augmented Generation ... drpress.org Academic Journal of Science and Technology 1 fact
referenceHe et al. introduced G-retriever, a retrieval-augmented generation framework for textual graph understanding and question answering, in an arXiv preprint in 2024.