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arXiv — cs.AI

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OA-RAG: Ontology-based Agentic RAG for Faithful LLM Reasoning

arXiv:2610.36335v1 Announce Type: new Abstract: Large language models (LLMs) perform well across many real-world tasks but remain prone to hallucination, limiting their reliability in domains such as biomedicine and healthcare, where answers must be grounded in established…

arXiv — cs.AIBy: Hui Yang, Jiaoyan Chen, Yongsheng GaoOctober 28, 2026 (12 hours ago)
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  • arXiv:2610.36335v1 Announce Type: new Abstract: Large language models (LLMs) perform well across many real-world tasks but remain prone to hallucination, limiting their reliability in domains such as biomedicine and healthcare, where answers must be grounded in established…
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OA-RAG: Ontology-based Agentic RAG for Faithful LLM Reasoning

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