A standard RAG pipeline with an undefined multi-hop module is reported to outperform baselines on financial QA datasets, without code or data.
Gemini-graphqa: Integrating language models and graph encoders for executable graph reasoning,
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Enhancing Document-Level Question Answering via Multi-Hop Retrieval-Augmented Generation with LLaMA 3
A standard RAG pipeline with an undefined multi-hop module is reported to outperform baselines on financial QA datasets, without code or data.