NishiSearch

Web This site Trusted

30 result(s) for “okapi bm25 site www elespo cy site ft postgresql org site:arxiv.org” of 86 matched · 639 ms

Scope: Nishi’s own index (our crawl + Common Crawl) — not the whole live web. Some sites block all automated crawlers (anti-bot walls), so their pages may be absent here even though we never filter lawful content.

Freshness: no result on this page carries a fetch time yet (indexed before the fetch epoch was stored beside the doc)

%PDF-1.7 % 1 0 obj > stream xXM8 ]4Pn~L-E

https://arxiv.org/pdf/2205.01882v5
35A,:-e[dN#h @4(k,8A-x%H-H"}ɐEArԀV[@[P(!{Z͠Qf ZiJ$ z>J@[Ѕ0(b`QrFY Jц8!Z0*MKXv6'c#ͻj]~sV7QI=0R%իc}>

%PDF-1.5 % 1 0 obj > endobj 2 0 obj > endobj 3 0 obj > stream

https://arxiv.org/pdf/2506.01844
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient RoboticsMustafa ShukorDana AubakirovaFrancesco CapuanoPepijn KooijmansSteven PalmaAdil ZouitineMichel AractingiCaroline PascalMartino RussiAndres MarafiotiSimon

%PDF-1.7 % 1 0 obj > stream xXYo6~] x@&hҧ"Zz.

https://arxiv.org/pdf/2608.03340
jZ0hw;3B p-YS cy :k؜Z>aҵ/7_|%rl%&IMkcsyT2A덲uR2C>[-U(̓2$

%PDF-1.7 % 1 0 obj > stream xZms6~4&Nb{v\Xe^

https://arxiv.org/pdf/2607.26405v1
$ѥ('鯿]Ldg}@fy22I2Q3Q31.3q"0BL |*RgN2p| 0Q4yF`/ p!e D a`F d*@R EG 5vCT0s )$㠪 @$?x|ypdltCqA&1'1gi=N6Mܒ?^T 7I

%PDF-1.5 % 1 0 obj > stream xY]o6}_fuo ( ,omE}ZADږ

https://arxiv.org/pdf/2608.02851v1
>;=1hZّ̦h4/A|8K|Q$LPm1CNvN7N7#bnU7@/GǸNNpFt{Fn_pFW~$y~j@nCuNCq̾}#'$4(

%PDF-1.7 % 1 0 obj > stream xYr8}c{R$ʑ׎l#9KMuh

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

%PDF-1.7 % 1 0 obj > stream xXKo_eR'E}G7Y0m%

https://arxiv.org/pdf/2607.27188v1
) /Title (Inverse Learning of Latent Risk-Neutral Densities from Irregular Option Quotes) /Trapped /False /arXivID (https://arxiv

%PDF-1.5 % 152 0 obj > stream xmTˎ0+$$0  a#A%

https://arxiv.org/pdf/2402.03300
߯jD岻fc;Z̫MfG} q]/ޭmޯo⣩0Z^x]fkn{E+{*ʧypg6;5PVpH8$hmڢ*߄zR:")󨺠3qXysO'H)-"}[˺s 3 4{pYdrK+ a }ѫW{ Fvm7344AGc

%PDF-1.5 % 7 0 obj > stream xP(endstream endobj 9 0 obj >

https://arxiv.org/pdf/2303.12712v5
stream xP(endstream endobj 11 0 obj > stream xP(endstream endobj 17 0 obj > stream xP(endstream endobj 20 0 obj > stream xP(endstream endobj 23 0 obj > stream xP(endstream endobj

%PDF-1.5 % 61 0 obj > /Filter /FlateDecode /Height 437 /Length 65550

https://arxiv.org/pdf/2006.04122
/Width 614 >> stream x XkǏ=D!D6"ZT$E%BEgQ)tJ{hU(J+!V) D~s)Ie_5ͼP( jBP(D& BPiӦAP( E# ȄBP(hDP( BP("BP(D& %%X B~; ߿[^

%PDF-1.7 % 1 0 obj > stream x[is۸~?Nޔ bRuV%v8N

https://arxiv.org/pdf/2608.02615
XA{:Е&iG9 8>af4 @>MCښk:\\>]tCy'rRgث[Ėu[{ё2{VG7akؽΗl9;;VT[Kdyh^>AW]L6t2&

%PDF-1.7 % 1 0 obj > stream xZr6}߯ࣵXJV7dɊ$n做%

https://arxiv.org/pdf/2608.00426
gHÑ|v A**Gn>hఄ$OJ:#$]rd KeѵL!"p 8 H&+) ,)KAY++\Jt 0D `IwGHm4=pW&Z D>60!DJ W!HB K~OR"U y@4(RRRTm@O'h2C#AhC !TCp=5

%PDF-1.7 % 1 0 obj > endobj 2 0 obj > endobj 3 0 obj > stream

https://arxiv.org/pdf/2508.02691
7 % 1 0 obj > endobj 2 0 obj > endobj 3 0 obj > stream Statistical modeling of SOFR term structureTeemu PennanenWaleed Taoumhttp://arxiv

%PDF-1.5 % 104 0 obj > stream x[K8WT '=ᶷ˽;}@I)

https://arxiv.org/pdf/2006.00342
ICf^AB]G1L(n r\,`X1jfNLSPXRIꋜX(T´"jOjaAfib%I ^֨ʅO>ͅIr\ջg9 U gnnlZ|Ft}uZ̾ڹHM֞NXT'P %}_k{ft 6}&m/N

%PDF-1.7 % 1 0 obj > stream xZYS9~_ݘ0*tUĄ#pc0c6Mz

https://arxiv.org/pdf/2608.03118
>~|):{iJ3/S,a)0ŤL30m5jˤd0MB_E[; /b [&DcPƤ¤ ^L*%:Pc& 4I0βT8X44IT,5Yj1O4Y5̗)dJ82~_(L8߼tǏ껳|`PJ4

%PDF-1.7 % 1 0 obj > stream x\rFr}WQ`IihʫRZ

https://arxiv.org/pdf/2608.03411
=mSMT}CnYYy9U@Q5эԾ15qM 6R7R)h.i ]4jEkC#9Lly"QCpL t")w8BHRI.@wAOރ}Rx3A6,J*Z(?碩qPƃ?y8M|M P.6D(& #L•V@)~ 

%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

%PDF-1.7 % 1 0 obj > stream xYYܸ~ϯ`fěv,l^Bfw

https://arxiv.org/pdf/2608.01785
+1}$jdKmotubUQHF8B!0Ή"X rbdZJ ֜PAJb%; HIF(2fa@>$@d`#!*M }'3A1ǂ*sX ,҂Kf3jxxD""Sl0H*Ǹ#3QD8,$BB(M6n0cDfDs

%PDF-1.5 % 1 0 obj > >> endobj 2 0 obj > endobj 3 0 obj > stream

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

%PDF-1.7 % 1 0 obj > stream xYr6}߯JJגXqR

https://arxiv.org/pdf/2608.00328
Hc/N8>}p"K"UHhIaZpɉ&Qb(KB "\(Qʈ2P)`Q$h8u(k W@%%}Pr0R9 jaCg@9@RR@F sE $ aIBqRy@S* O q!EeDH" + Q &_YI tJ.Q

p^eT\= n =nݥi翞yg>YsV

https://arxiv.org/src/2006.02833
=nUNs"ljBA߁|;=# =+#+p>ӎ} G{=;|OvW?]! @^Nǟӱ3~ f? S0lL[pqJY 9}`ggg'#%=#9 ߿WY:}7U4rqga

%PDF-1.7 % 1 0 obj > stream x}Qn0+Ǝ_ BR>NC,)$1}

https://arxiv.org/pdf/2607.27070v1
Early-warning signals are event-heterogeneous across seven crypto-perpetual liquidation cascadesRamon Marc Garcia Seumahttp://arxiv

%PDF-1.5 % 1 0 obj > endobj 2 0 obj > endobj 3 0 obj > stream

https://arxiv.org/pdf/2508.16279
AgentScope 1.0: A Developer-Centric Framework for Building Agentic ApplicationsDawei GaoZitao LiYuexiang XieWeirui KuangLiuyi YaoBingchen QianZhijian MaYue CuiHaohao LuoShen LiLu YiYi YuShiqi HeZhiling LuoWenmeng ZhouZhicheng ZhangXuguang

1 Introduction

https://arxiv.org/html/2501.13956v1
2 Knowledge Graph Construction 2.1 Episodes 2.2 Semantic Entities and Facts 2.2.1 Entities 2.2.2 Facts 2.2.3 Temporal Extraction and Edge Invalidation 2.3 Communities 3 Memory Retrieval 3.1 Search 3.2 Reranker 4 Experiments 4.1 Choice

Report GitHub Issue

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

Report GitHub Issue

https://arxiv.org/html/2608.03048v1
× Title: Content selection saved. Describe the issue below: Description: Submit without GitHub Submit in GitHub arXiv is now an independent nonprofit! Learn more × Back to arXiv Why HTML? Report Issue Back to Abstract Download PDF

Computation and Language

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

Artificial Intelligence

https://arxiv.org/list/cs.AI/new
Skip to main content System maintenance August 4th and 5th Learn more × Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Artificial Intelligence New submissions Cross-lists Replacements See recent

J^P_.I/"]Mzi"H =[@*H.Z!t{

https://arxiv.org/src/2006.01402
{s|3|3'C M]z'b=~gGk??巐={8BbbbWpqXߔ+++wڏUH艀$jJ:88035+d88ڦ(GlcQůT$de܊ѓNjM_5##,NG)}Rj6T+kC_E}[

 ^TU_/ J.twKtw`ҠHwHt H(R}\

https://arxiv.org/src/2006.15704
|dELl mULϫԦ00'yKfT}#(#WEzsvfs߮$ ;V *~5[ou f;9[_ɬÈuz g&Irt -K-/p&KLpv#T[QX8nŎ_cQ|=H;@6/$S>y;mnM"B>>