A multi-agent RAG framework that adds planning, bounded memory, and NLI-based revision to local 7-8B models, reported to improve faithfulness and coherence in long-form generation.
Leveraging passage retrieval with generative models for open domain question answering
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RH-RAG: Trustworthy Long-Form Generation for Privacy-Constrained Settings
A multi-agent RAG framework that adds planning, bounded memory, and NLI-based revision to local 7-8B models, reported to improve faithfulness and coherence in long-form generation.