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30 result(s) for “okapi bm25 site www eyespy cy site avatars githubusercontent com site:arxiv.org” of 212 matched · page 2 · 550 ms
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Did you mean okapi bm25 site www eyespy cy site avatar githubusercontent com site:arxiv.org?
Freshness: no result on this page carries a fetch time yet (indexed before the fetch epoch was stored beside the doc)
https://arxiv.org/pdf/2006.00342
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https://arxiv.org/pdf/2402.03300
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https://arxiv.org/src/2303.12712
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https://arxiv.org/pdf/2006.04122
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https://arxiv.org/pdf/2608.03118
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https://arxiv.org/pdf/2303.12712v5
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https://arxiv.org/pdf/2508.04671
485 ] /Info 411 0 R /Root 187 0 R /Size 670 /Prev 2921183 /ID [] >> stream xcbdg`b`8 $;A. H0 > X`$$,@ P)$A@{A ayY@* $xM@ D(201* (1J cr]0 -Qb% 0T endstream endobj 187 0 obj >
https://arxiv.org/pdf/2508.11152
com three Proceedings of ACM Conference (Conference'17) book 1 1 9 9 Tianjiao ZhaoJingrao LyuStokes JonesHarrison GarberStefano PasqualiDhagash Mehtahttp://arxiv
https://arxiv.org/pdf/2608.01785
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https://arxiv.org/pdf/2407.00125
) /Title (A Survey on Failure Analysis and Fault Injection in AI Systems) /Trapped /False /arXivID (https://arxiv
https://arxiv.org/abs/2608.03883
Our systems combine sparse BM25 retrieval, evidence-aware rescoring for self-referential symptom reports, embedding-based reranking, query-prototype expansion, and LLM-based reranking
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
IR)
Tue, 4 Aug 2026 (showing first 34 of 45 entries )
[17] arXiv:2608
https://arxiv.org/list/cs.IR/new
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https://arxiv.org/list/cs.MM/new
showing 3 of 3 entries)
[1] arXiv:2608
https://arxiv.org/list/cs.CV/new
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[2] arXiv:2608
https://arxiv.org/list/cs.CY/current
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[1] arXiv:2608
https://arxiv.org/list/econ.GN/recent
RM)
Tue, 4 Aug 2026 (showing 16 of 16 entries )
[13] arXiv:2608
https://arxiv.org/pdf/2407.02402
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https://arxiv.org/src/2002.02145
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https://arxiv.org/pdf/2608.02609
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https://arxiv.org/pdf/2508.02686
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https://arxiv.org/pdf/2608.02618
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https://arxiv.org/pdf/2210.00105
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https://arxiv.org/pdf/2608.02943
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https://arxiv.org/pdf/2010.15980
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https://arxiv.org/pdf/2608.02244
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https://arxiv.org/pdf/2608.03898
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https://arxiv.org/pdf/2412.12213
Finance-Informed Neural Network: Learning the Geometry of Option PricingAmine M. AboussalahXuanze LiCheng ChiRaj Patelhttp://creativecommons.org/licenses/by/4.0/cs.LGq-fin.CPstat.ML endstream endobj 4 0 obj > endobj 5 0 obj > endobj 6 0 obj