MARQUIS: A Three-Stage Pipeline for Video Retrieval-Augmented Generation
Retrieval-augmented generation from videos requires systems to retrieve relevant audiovisual evidence from large corpora and synthesize it into coherent, attributed text. Current approaches struggle at both ends: retrieval methods fail on complex, multi-faceted queries that cannot be captured by a single embedding, while generation methods lack the high-level reasoning needed to synthesize across multiple videos and face memory constraints over long, multi-video contexts. We present MARQUIS: a three-stage pipeline that addresses these limitations through (1) query expansion, fusion, and reranking, (2) calibrated structured evidence extraction, and (3) article generation from extracted evi...
| Authors | Debashish Chakraborty, Dengjia Zhang, Jialiang Jin et al. |
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| Primary category | cs.IR |
| Published | 17 May 2026 |
| Last updated at source | 17 May 2026 |
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