NishiSearch

Web This site Trusted

30 result(s) for “okapi bm25 site terms com pp site leonin ca site www ibc washington edu site:arxiv.org” of 41 matched · 548 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.

Did you mean okapi bm25 site terms com pp site lenin ca site www inc washington edu site:arxiv.org?

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 > >> endobj 2 0 obj > endobj 3 0 obj > stream

https://arxiv.org/pdf/2608.03883
3/ pdfx PDF/X Schema external URL to an online version or preprint AuthoritativeDomain Text http://www

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

https://arxiv.org/pdf/2608.03118
Zz|PG-T*1P8Yvk-'Nğ`PM$&] L'|*p7k7mE7nry09U=PP#'#ބv2Z$t;Ʀlr5

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

 ^TU_/ J.twKtw`ҠHwHt H(R}\

https://arxiv.org/src/2006.15704
wν~cƚ\s5fVz&F\@ ;߯'i qsr >gq?z_QFHϊDZp(@(pn}"Ϩ(*0Mrq@ F0 Ru5p9Yژq "~ (h~$nc|O+9:

^ce]6m۬mRUi۶mfm۶m۝u;?^s\cX{X{

https://arxiv.org/src/2006.02893
D&&h OÕge_pEV* %&j%RIfmJKuu'05ypP=rH"0ì*Hkf>8L6@ 93 ^0Zpi:=S%EL(Bfz|pT*sGvJA8CiOຍkYEƈPrOqJ[Z%%\X>sv=F^ut

%PDF-1.7 % 1 0 obj > stream xYms8~ۻi#3;;^&m/

https://arxiv.org/pdf/2607.26188v1
JMY[n rHbܝD6HE V1ɴeqafkf8L1%4LyxŴsf ˸dC1g*a&W*NG1a' )əRL*a*7JYOgRTys+/loTC֜-dO}j-:}8k +-tUPe_5ߘ8(=DFJt

S^ Sw#ilO,h_!lպHGOg?CƷ߽Χv{K

https://arxiv.org/src/2005.13905
M}Z]zi=3]/ppI)6H&_NH째Gh@%Yn)$AlW*tE6J4G 0CbXE>LYS

%PDF-1.5 % 27 0 obj > stream xڍZYܶ~GNwّQVR)X3,

https://arxiv.org/pdf/2006.02759
Aj gkip4 t7Ǜ߅w~(Wanp_M,`n( ԨQ7 =: &━H!%II dH8f9(\45'U`NVG}6٣e k1KIz"SnZמDYFJ̘`6&D0[s ^{A(+$D2idv_E qw

!YfZ TS瞏J}jkGn@@jE $-)h)VRE@iL $

https://arxiv.org/src/2405.20232
(T$,J I>̙i9ɹ(Yd }6%! ?= `?9tpr Z[򊑜~=(Jqp*U[-ߴb96K}ڍ'wQˀqA ˦?5 JD/^Dͤȑ{V0zŸ~w

^ |ɒKl  v?q|rr0

https://arxiv.org/src/2006.01354
TdIjǖI,D ?=x`],Ă3֯v;!픻֭.t-W8I{參&-{s/}+Yp"X&v*i; b"^ |aǶ >!ZQ}N?}=c߳? b? {.؏'3'ѱ^[ͦa.ll X{,c7-ي}

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

https://arxiv.org/pdf/2607.27070v1
IRGsro>tJ~~z|AOρ{U+(>[c;JA[/0Ҁg^9xӁwVo9ѳICÁ`xG]򩾥WW6W'vѴ>/+ڀmƷޝE{11E-Lw6 ܿ]_qеDuykG $AbpPЍkZ_E8JVkj&}0*V: HH

^񰏽 NkzJrYY^hBB۷'ucRʲ

https://arxiv.org/src/2006.01331
>'"J=&_[:$@0՛^Ajj> [AQt`}~Q?z(Rx{>2J`һA;2?;_ڱ퀂.OVcбn{¾c){ƞ_ oKf?7o-{.؏'3c&͘\ٜ-ؒy7v| ,f KYn-[5 Cdj"F?&8C%(E|C$

%PDF-1.3 % 3 0 obj > stream x\rIv}W1*vTElͱ&;

https://arxiv.org/pdf/2407.01722
PF@78bܫ}nejy+s$σCQ3Rg t /HT[o=2eYca( t}|T MS ği]

k1a}kwh^ \&>璴޶L6ÖlIJI L?$S6">LDY2et"ڌG

https://arxiv.org/src/2104.08691
>6JfHx@OFm1Id4L$3~8q=vtz3D w9Hpր `uy[z[(VD8\I,R/(~ǺzYSΫӑQ #SgKI!p 8 , #X6Lp;8@$"ZLU67^B+h!CT[-8y# E;ܟdA!\O}ܟ(

%PDF-1.7 % 1 0 obj > stream xVM6W.`[CQIZT

https://arxiv.org/pdf/2608.03233
T+jq8 M\c~wD`%::P sC` zzTrH`${0F{kʆƄ endstream endobj 411 0 obj > stream On the Diversity of Analogy Making in Large Language ModelsYuanhao ShenDaniel Xavier de SousaCaio César Sifuentes BarcelosHongyu GuoXiaodan Zhuhttp://arxiv

%PDF-1.5 % 91 0 obj > stream xڭ[YƑ~ׯG#) 6h$Hv4P݄h

https://arxiv.org/pdf/2006.01402
_8b/UYyWѻyn̳/?4oIܼvF7ina>M){WlY}]~pPdSvD?f[۸/,3OM% >N9.t ^hsuY}ǛVZ+*5ڰ2b.mZ6M{@|Pܠ;Y>i?

n^}ٰ1FQ9nJU. M=$ssw#;qDĖ"K v

https://arxiv.org/src/2006.01318
[lQAc5)oK/[msr^!睮4пuk64 jk7j ~YF9iD2F+D(6'5֢?U4$S$'Xb^sK7iR5*hwb!Y ?%yZ-yrVvroVXٜp|

c;^y٘ҏgG|~?z~ϓFD9zfd_໯

https://arxiv.org/src/2006.02055
3BȤ/;?$eR B&OȤ2B&埐OȤ2AFMz?_u5%D2?Hw/t!w~?Kf_ozP ?0{d,TNuoMjFg}#+ $;" s!誓 >ƃ^[zA ho¤UQ؀ދ+(TlXoZ

m_\ysFϿO[d턄RdTSxW3RMIAfϾqrnI

https://arxiv.org/src/2006.02464
>>!ŧ/h4>!BO28w/ #,l4I~˥ ]Jo ?t&;Iԋiz3f6-O4}z,(L$MD4~\4J7K%(@WubL,4| bG bU\j)cL W^ SKB;

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

https://arxiv.org/pdf/2608.01785
B%pp7w}^t3>/nN y@IvonG

1 Introduction

https://arxiv.org/html/2501.13956v1
com Abstract We introduce Zep, a novel memory layer service for AI agents that outperforms the current state-of-the-art system, MemGPT, in the Deep Memory Retrieval (DMR) benchmark

Report GitHub Issue

https://arxiv.org/html/2608.03048v1
com/JetAstra/PI-Mem Introduction The ability to reason over long contexts is increasingly important for large language models (LLMs), supporting applications such as long-document question answering (Gemini Team 2025; Yang et al

%PDF-1.7 % 1 0 obj > stream xYێ6}߯cC; gf憽HKߪ

https://arxiv.org/pdf/2608.00785
*"4X]滉` Yd)$w(P\w󲒴e$S IGRǼ%:VͶg{*Ɗъ$vbyxZ1phN"l̀ >=9͟^11>"mS;wn *j[Gx.ڛ7pi

2Cd[ioȖɯ(4tc,vł%ٽWse˜*AKN I S

https://arxiv.org/src/2212.07841
A}يF>WTٶgCAo

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

https://arxiv.org/pdf/2608.02615
mNJ3mDbwF=Ml;x,qq,ޣ^}ZXy:wWW|

%PDF-1.5 % 4 0 obj > stream xP( endstream endobj 7 0 obj

https://arxiv.org/pdf/2006.02464
> stream xP( endstream endobj 9 0 obj > stream xP( endstream endobj 11 0 obj > stream xP( endstream endobj 17 0 obj > stream xP( endstream endobj 20 0 obj > stream xP( endstream

1 Introduction

https://arxiv.org/html/2407.16741v3
edu Abstract Software is one of the most powerful tools that we humans have at our disposal; it allows a skilled programmer to interact with the world in complex and profound ways

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

9^FGC1d$c("w[W()9xN`7?>9

https://arxiv.org/src/2006.01885
ºPP6PCO4R>Hxo7Dτ6j`؎/𭆗~EvGc5yCz/Zan&qiIzU+GdӱnufP Pxa%ǜXD߭@/+=HN:B]D

%PDF-1.4 % 1 0 obj > endobj 3 0 obj > endobj 7 0 obj > endobj 8 0

https://arxiv.org/pdf/2608.00151
R59Dɂ6, βYW*e"ڐRlFkl+|Z-[~Zзad}X\>]8nVHIКb7Eb8d%lV)Pf eZ6z^wcoMzi& ^ $aZ nοYP$  joV5nYç@