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https://arxiv.org/src/2006.00819
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https://arxiv.org/abs/2104.08663
Our results show BM25 is a robust baseline and re-ranking and late-interaction-based models on average achieve the best zero-shot performances, however, at high computational costs
https://arxiv.org/abs/2608.03860
The pipeline combines sentence-window chunking, BM25, BGE-M3 dense retrieval, reciprocal rank fusion, optional cross-encoder reranking, and grounded answer generation
https://arxiv.org/list/cs.IR/recent
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https://arxiv.org/pdf/2407.00768
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https://arxiv.org/tb/redirect/1847908/1a6c804c6
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https://arxiv.org/list/cs.DC/new
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