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30 result(s) for “okapi bm25 site www eyespy cy site title low gov site www key org site:arxiv.org” of 250 matched · 621 ms
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from the top result below
https://arxiv.org/list/cs.CL/new
We evaluate five open-weight readers with Vanilla context, BM25-RAG, Oracle retrieval, Memobase, and MemSearch as memory backends
https://arxiv.org/list/cs.AI/new
02604 [pdf, html, other]
Title: ISEE: Interactive Semantic Enrichment for Database Fields
Yuan Tian, Yiru Chen, Rakesh R
https://arxiv.org/html/2608.03048v1
To address this efficiency bottleneck, sparse attention restricts computation to selected tokens or key-value blocks, whereas recurrent formulations of linear attention summarize preceding tokens in a compact state
https://arxiv.org/html/2608.02613v1
We evaluate five open-weight readers with Vanilla context, BM25-RAG, Oracle retrieval, Memobase, and MemSearch as memory backends
https://arxiv.org/html/2501.13956v1
Retrieval-Augmented Generation (RAG) has emerged as a key area of interest in LLM-based applications
https://arxiv.org/html/2407.01757v1
It is natural to ask whether this lack of adoption is driven by low potential to address high-priority questions in planetary science; immature technology; or both
https://arxiv.org/list/quant-ph/new
Hence the weighted gap analysis transfers to an unweighted clique complex without introducing either additional low-energy states or spurious homology
https://arxiv.org/list/cs.CV/new
02711 [pdf, html, other]
Title: Hunyuan3D-Buffalo 1
https://arxiv.org/html/2407.16741v3
2 OpenHands Architecture
2.1 Agent Definition and Implementation
2.2 Agent Runtime: How Execution of Actions Results in Observations
2.3 Agent Skills: The Extensible Agent-Computer Interface
2.4 Agent Delegation: Cooperative Multi-agent
https://arxiv.org/html/2410.05779v3
This innovative framework employs a dual-level retrieval system that enhances comprehensive information retrieval from both low-level and high-level knowledge discovery
https://arxiv.org/html/2508.02739v1
At the core of this domain are K-line sequences, multivariate time series derived from candlestick charts that record Open, High, Low, and Close prices, along with trading Volume and Amount (Turnover) over fixed intervals (OHLCVA)
https://arxiv.org/list/cond-mat/new
The mixed anomaly between these is accommodated by the not-on-site action of the symmetries
https://arxiv.org/pdf/2006.02318
3/ pdfx PDF/X Schema external URL to an online version or preprint AuthoritativeDomain Text http://www
https://arxiv.org/pdf/2608.01651v1
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https://arxiv.org/pdf/2608.02758
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https://arxiv.org/pdf/2608.03883
3/ pdfx PDF/X Schema external URL to an online version or preprint AuthoritativeDomain Text http://www
https://arxiv.org/pdf/2402.03300
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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/list/cs.CY/current
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[1] arXiv:2608
https://arxiv.org/list/cs.SI/new
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New submissions (showing 4 of 4 entries)
[1] arXiv:2608
https://arxiv.org/abs/1411.2842
2842] Logical Limitations to Machine Ethics with Consequences to Lethal Autonomous Weapons
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https://arxiv.org/abs/2607.29380
arXiv is committed to these values and only works with partners that adhere to them
https://arxiv.org/abs/2510.01395
01395] Sycophantic AI Decreases Prosocial Intentions and Promotes Dependence
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arXiv is now an independent nonprofit
https://arxiv.org/src/2006.02318
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https://arxiv.org/pdf/2407.00345
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https://arxiv.org/html/2608.03275v1
org perpetual non-exclusive license
arXiv:2608
https://arxiv.org/pdf/2608.01366
) /Title (Asking Questions the Right Way: A Multi-Agent Conversational System for Prompt Formulation in Complex Task Resolution) /Trapped /False /arXivID (https://arxiv
https://arxiv.org/src/2205.11916v1
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