Papers by Xiaoya Cui

1 papers
Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation (2025.coling-main)

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Challenge: Retrieval-augmented generation systems often use a fixed strategy to extract information from multiple sources.
Approach: They propose a method that dynamically determines optimal granularity of a knowledge source based on input queries using a router.
Outcome: The proposed method predicts optimal granularity levels and significantly improves performance in downstream tasks.

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