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30 result(s) for “okapi bm25 site www elespo cy site who unesco org site www gov 3inhibitor com site:arxiv.org” of 235 matched · page 2 · 558 ms
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https://arxiv.org/pdf/2303.12712v5
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https://arxiv.org/pdf/2407.00125
Reliability.Performance.- Software and its engineering -> Software organization and properties.- Computing methodologies -> Artificial intelligence.) /Title (A Survey on Failure Analysis and Fault Injection in AI Systems) /Trapped /False
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/2005.14165
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https://arxiv.org/pdf/2608.02615
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https://arxiv.org/pdf/2608.01785
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https://arxiv.org/src/2303.12712
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https://arxiv.org/pdf/2508.04671
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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/html/2407.16741v3
com/All-Hands-AI/OpenHands
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https://arxiv.org/list/cs.CY/current
02551 [pdf, html, other]
Title: Who Should Be Generated
https://arxiv.org/abs/2607.29380
the Regeneration of Professional Expertise
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Computer Science > Computers and Society
arXiv:2607.29380 (cs)
[Submitted on 31 Jul
https://arxiv.org/abs/1411.2842
Lethal Autonomous Weapons
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Computer Science > Computers and Society
arXiv:
https://arxiv.org/src/2006.03178
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https://arxiv.org/pdf/2609.03103
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https://arxiv.org/pdf/2607.26327v3
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https://arxiv.org/pdf/2608.02609
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https://arxiv.org/pdf/2608.00151
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https://arxiv.org/pdf/2608.02943
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https://arxiv.org/pdf/2608.02244
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https://arxiv.org/pdf/2608.01564
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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
https://arxiv.org/html/2508.08980v3
org perpetual non-exclusive license
arXiv:2508
https://arxiv.org/pdf/2405.17770
-Neutral Generative NetworksZhonghao XianXing YanCheuk Hang LeungQi Wuhttp://creativecommons.org/licenses/by-nc-nd/4.0/q-fin.MFq-fin.PR endstream endobj 4 0 obj > endobj 5 0 obj > endobj 6 0 obj > endobj 7 0 obj > endobj 8 0 obj > endobj 9
https://arxiv.org/pdf/2508.02758
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https://arxiv.org/src/2403.08299
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https://arxiv.org/pdf/2109.12196
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https://arxiv.org/pdf/2608.02942
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