Papers by Woongyeong Yeo

1 papers
UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and Granularities (2026.acl-long)

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Challenge: Retrieval-Augmented Generation (RAG) has shown substantial promise in improving factual accuracy by grounding model responses with external knowledge relevant to queries.
Approach: They propose a framework to retrieve and integrate knowledge from heterogeneous sources with diverse modalities and granularities.
Outcome: The proposed framework shows superiority over existing methods on 10 benchmarks of multiple modalities.

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