ExpandFuse: A Hybrid Retrieval Framework with Query Expansion and Topic-Aware Reranking for Multi-Hop Question Answering

Authors

Salima Lamsiyah (ORCID: https://orcid.org/0000-0001-8789-5713)
Keerthana Murugaraj (ORCID: https://orcid.org/0009-0008-5100-055X)
Martin Theobald

Institutions

University of Luxembourg (LU)
Luxembourg Institute of Science and Technology (LU)

Publication Details

Published: 2025-12-08
DOI: https://doi.org/10.1109/bigdata66926.2025.11402490
Primary Topic: Topic Modeling
Type: article
Field-Weighted Citation Impact: 0.00

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article

ExpandFuse: A Hybrid Retrieval Framework with Query Expansion and Topic-Aware Reranking for Multi-Hop Question Answering

Salima Lamsiyah, Keerthana Murugaraj, Martin Theobald

Dec 8, 2025

Topic Modeling

article

ExpandFuse: A Hybrid Retrieval Framework with Query Expansion and Topic-Aware Reranking for Multi-Hop Question Answering

Salima Lamsiyah, Keerthana Murugaraj, Martin Theobald

December 8, 2025article en

Abstract

No abstract available for this paper.

University of Luxembourg (LU), Luxembourg Institute of Science and Technology (LU)

Openalex Percentile: Top 13%

Topic Modeling

DOI Source OpenAlex

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ExpandFuse: A Hybrid Retrieval Framework with Query Expansion and Topic-Aware Reranking for Multi-Hop Question Answering — Salima Lamsiyah, Keerthana Murugaraj, et al. · (2025) | TGRS Research Map | TGRS