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30 result(s) for “okapi bm25 site www eyespy cy site en wikipedia org site:arxiv.org” of 235 matched · page 2 · 725 ms

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https://arxiv.org/pdf/2608.03063
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https://arxiv.org/pdf/2608.02122
) /Title (DEFT: Joint Task Placement and DVFS for Energy-Efficient Multi-GPU Runtimes) /Trapped /False /arXivID (https://arxiv

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https://arxiv.org/pdf/2607.26188v1
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https://arxiv.org/pdf/2608.03883
org/pdfua/ns/id/ pdfuaid PDF/UA ID Schema internal Part of PDF/UA standard part Integer PRISM metadata http://prismstandard

%PDF-1.7 % 1 0 obj > >> endobj 2 0 obj Surveys and overviews.

https://arxiv.org/pdf/2407.00125
) /Title (A Survey on Failure Analysis and Fault Injection in AI Systems) /Trapped /False /arXivID (https://arxiv

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https://arxiv.org/pdf/2608.01785
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https://arxiv.org/pdf/2608.03157
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https://arxiv.org/pdf/2402.03300
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https://arxiv.org/pdf/2303.12712v5
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https://arxiv.org/pdf/2508.11152
5 application/pdf AlphaAgents: Large Language Model based Multi-Agents for Equity Portfolio Constructions arXiv 2025-08-18T00:20:17Z Text sample-authordraft

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https://arxiv.org/pdf/2608.02851v1
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https://arxiv.org/pdf/2608.00426
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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/2608.00328
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https://arxiv.org/pdf/2608.04008
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https://arxiv.org/pdf/2608.03233
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https://arxiv.org/pdf/2608.03411
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[2608.03883] DS@GT-ARC at eRisk 2026 Task 3: Sparse, Semantic, and LLM

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

[2104.08663] BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of

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

[2608.03860] SciRet: A Compute-Aware Empirical Study of Retrieval and

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

[2607.29380] The Tragedy of the Cognitive Commons: How AI Could Disrupt

https://arxiv.org/abs/2607.29380
arXiv is committed to these values and only works with partners that adhere to them

[1411.2842] Logical Limitations to Machine Ethics with Consequences to

https://arxiv.org/abs/1411.2842
2842] Logical Limitations to Machine Ethics with Consequences to Lethal Autonomous Weapons Skip to main content arXiv is now an independent nonprofit

[2510.01395] Sycophantic AI Decreases Prosocial Intentions and Promotes

https://arxiv.org/abs/2510.01395
01395] Sycophantic AI Decreases Prosocial Intentions and Promotes Dependence Skip to main content arXiv is now an independent nonprofit

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https://arxiv.org/pdf/2608.02833
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https://arxiv.org/pdf/2609.03103
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https://arxiv.org/pdf/2210.00105
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https://arxiv.org/pdf/2608.03898
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https://arxiv.org/pdf/2608.01564
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https://arxiv.org/pdf/2608.03421
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