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Retrieval-Augmented Generation

45 summarised stories about Retrieval-Augmented Generation, each linking back to the original source. Browse all topics →

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Wednesday, 15 July 2026

CLaRa: Bridging Retrieval and Generation with Continuous Latent Reasoning

Apple 3 months ago 25

CLaRa is a framework that improves retrieval-augmented generation by compressing documents and jointly optimizing retrieval and generation in a shared continuous space. The method achieves state-of-the-art performance on QA benchmarks at a compression rate of 16, meaning documents are reduced to 1/16th their original length while maintaining answer quality. This unified approach allows gradients to flow through both retrieval and generation modules, aligning document relevance with answer quality during training.

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