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Harnessing the power of document structure, STAIR achieves a remarkable 82.6% Recall@1, setting a new standard for low-hallucination information retrieval in LLMs.
DKL boosts RAG accuracy by over 25 points in retrieval failure cases without the need for costly instruction fine-tuning.
ColSNAP allows for flexible, multi-level compression in visual document retrieval without sacrificing retrieval performance, adapting seamlessly across different architectures.
