LongRAG: A Robust RAG Framework for Long-Context Question Answering

Large Language Models (LLMs) have revolutionized long-context question answering (LCQA), a complex task requiring reasoning over extensive documents to provide accurate answers. While recent long-context LLMs like Gemini and GPT4-128k can process entire documents directly, they struggle with the “lost in the middle” phenomenon, where relevant information in the middle of documents often leads to […]

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