Papers by Yuan-Ching Kuo

1 papers
MMLF: Multi-query Multi-passage Late Fusion Retrieval (2025.findings-naacl)

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Challenge: Existing approaches to query expansion are limited in terms of lexical overlap.
Approach: They propose a query expansion pipeline that generates sub-queries, expands them into pseudo-documents, retrieves them individually and aggregates results using reciprocal rank fusion.
Outcome: The proposed pipeline improves on five BEIR benchmark datasets and achieves a maximum gain of up to 8%.

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