Opinion-aware RAG with LLM opinion extraction and entity-linked graphs improves retrieval diversity by 26-42% over factual baselines on e-commerce forum data.
Retrieval augmented generation evaluation in the era of large language models: A comprehensive survey
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Systematic tests show that specific PDF parsers combined with overlapping chunking strategies better preserve structure and improve RAG answer correctness on financial QA benchmarks including the new TableQuest dataset.
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Beyond Factual Grounding: The Case for Opinion-Aware Retrieval-Augmented Generation
Opinion-aware RAG with LLM opinion extraction and entity-linked graphs improves retrieval diversity by 26-42% over factual baselines on e-commerce forum data.
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Empirical Evaluation of PDF Parsing and Chunking for Financial Question Answering with RAG
Systematic tests show that specific PDF parsers combined with overlapping chunking strategies better preserve structure and improve RAG answer correctness on financial QA benchmarks including the new TableQuest dataset.