NishiSearch

Web This site Trusted

30 result(s) for “okapi bm25 site terms com pp site case gov qld ca site abc negate fr site:arxiv.org” of 41 matched · 848 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 xYr8}c{R$ʑ׎l#9KMuh

https://arxiv.org/pdf/2608.02122
ؑEH%|K.y1m.\4#D&Db"  Kc.I)QDF`%'f(#RrF11H$"M)xq "xRx0',M6ur)~f5"x!-kq{sǥANjǿ-lz~7㉁Udag0b?] Mffv m\(\B]†nG

drj[Fo=EqlDuWq'@H3FD$)KAy}}9UHj

https://arxiv.org/src/2608.04003
drj[Fo=EqlDuWq'@H3FD$)KAy}}9UHj$Y 0"~sͫ/޽''ϧtɒxߺ:J'yRfɟe׆n>)42&zm^VVlu

%PDF-1.5 % 170 0 obj > stream xڝ\Ysq~ׯ#6a?5kٲ4!qCXIh

https://arxiv.org/pdf/2006.15704
w| x&mfendstream endobj 211 0 obj > stream x `T7|νw}Ζd&@47$a H-FV6AZEJZKmjmC ZkhBOU[ִR$~̀}[frs=

%PDF-1.7 % 1 0 obj > stream x\io:>yDj4[IӤkV5^R

https://arxiv.org/pdf/2608.01934
[~KQIv \9w%E?&Y2`12a yR&e,C}.X$Y$ X(X*Q(Y7&1S&hL)>g>s|& ta4UQav SL%btMs& R_.9P(h EI&%EcL-/$BU131Gc KL(Q% 6,SJ,ROXdhcg, (*M j`

!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

9 g\ko;?. ="Et:;yPX17x'qqC

https://arxiv.org/src/2407.17789
"P Әny@ab&ųlp?;hZnZ1*}:Xr(VI c9vX^\)B:j,p߅ 9C6k orpJ: Iboh@yt*[ЅI'Ԕw@36ύxkb دuf] #Z2sڍz㰹g7FA4. ++YPܚ

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 % 181 0 obj > stream xZKs8Wp dfbOav*[p!

https://arxiv.org/pdf/2005.14165
+-R\lyjeѠ-Od2Ys|FR=9>cRDrIBzgޣx:T$=

%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

^ |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 xXn7}W.P!w ;Hm9"k

https://arxiv.org/pdf/2608.02918
Vʥ_rW"B_,xprI23F0͠0SrV+\1˄ ΄mLB +Щ?QI(i,(,-J )$f^b4Ɨ"ŔL"1UbP@[ s "i+4)"lIWieL$?Kˋwء{_mfT:}[9y_kouk?즙6U9;;

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

https://arxiv.org/pdf/2508.07408
-Aware Sentiment Factors from LLM-Augmented Financial Tweets: A Transparent Framework for Interpretable Quant TradingYueyi WangQiyao Weihttp://creativecommons.org/licenses/by/4.0/q-fin.STcs.CLcs.LG endstream endobj 4 0 obj > endobj 5 0 obj

^]7 ڟ tow$lLr0Ig]SSUNp

https://arxiv.org/src/2006.01598
IKֿlƮE)Q_~oFK)?忇?moO瘓vd~ÿyg^E}7~~?/˯~?篜?޼髿t1p?>w  w߽?

%PDF-1.5 % 58 0 obj > stream xieWu#:#:CunWT+1l

https://arxiv.org/pdf/2005.13905
&Q,l@2`0!`01 $4g*S9g9~Pj?}7Z+׽7/m_^m7?GS_9Y,|?qABJU$+{aFB%5|!_F04 0k Ğt:fJ5^c`츾yZIFv[Yb4 hE9''HC&3hj|w擒cM}iG{X

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
2 Case 2: PI-Mem on the Same MV-NIAH Sample 5

%PDF-1.5 % 2 0 obj > stream xڵXn8}Wche&Q@P@m

https://arxiv.org/pdf/2006.00441
0^Ca|777|29endstream endobj 227 0 obj > /Font > /ProcSet [ /PDF /Text ] >> >> stream xYr7+4 @XMCliH3s}\PC{ZRi|WJ&Ex-'#

%PDF-1.7 % 1 0 obj > stream xo0W{5%glj-U J Pئ>xĢ

https://arxiv.org/pdf/2607.28410v1
+e,L}Ëuh{ǀHJ'>N>NA-z*ky nx ZZ{I3qF_z MJӠPp

%PDF-1.5 % 92 0 obj > stream xuTMo0 W6]n]P4S׃f+0Y

https://arxiv.org/pdf/2006.02602
^b⇷E(8A⚞X@D6hg7u[ -0L*:h$V pP/O퓩-~ɉMI5&Bd]$ԣv9d̾i@͝j0pX  "Ihg> stream xuvܸ_;ܚQ323~o4ADE

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

https://arxiv.org/pdf/2407.00225
5 % 1 0 obj > endobj 2 0 obj > endobj 3 0 obj > stream Large-scale, Independent and Comprehensive study of the power of LLMs for test case generationWendkûuni C

%PDF-1.5 % 88 0 obj > stream xڍY[w ~9cF")zLڤ6M/S7~Jj]

https://arxiv.org/pdf/2212.07841
խ",MwEm} )k#wՂڶ Όu hѴxSpɳ{*i~|Ry kKu$;ӛmrqÖi:fR]`޺,oq(4-#钛t'~=a7{4PUqY2ۻ@b7 3#Q1zJ-n i,@@ 0"Kz[y0Z

I_} $E舺BUqwLou7՟ffgFt BVUVWNWeYm

https://arxiv.org/src/1910.03771
u;oE]]e}.*?,sP?ֿ~""#2{>kU7nܸq?7n8敾WJ(|nBcۼeۖ cn߼m˶ cwt}xб?(vB!6Aгk~c@>ԼWub/EPʬ{+T:aSW-ˢ,: yK+v6΍&0;Pƭ"_iUp|`

^sx ]7 Ƕm۶m۶mۘLlۙ؞X_~~\

https://arxiv.org/src/2006.00441
JWZIɔ X:9323020130}1205\] ]wrSK-#3Y] K^lcb*bjlobJdjh X%]K2N%IRЄ`MFTG 7=v:w "*^:

%PDF-1.7 % 1 0 obj > stream xY[S:}?BmɲeϜ93!\ $>8!.

https://arxiv.org/pdf/2608.03709
xw|Ypbj)" h@ n9sy3P0[A dک(P@)J V 5e@:G/#LGt:q=(`LQ-\ë&tDuDUC FZ[eh:ų7-H@7Bpz `Fr&,6{@:hԗS1'ɝ04`h;WDC>iө#94cKo~b`%>tH:'

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

https://arxiv.org/pdf/2506.01844
0 > >> endobj 85 0 obj > endobj 86 0 obj > endobj 87 0 obj > endobj 88 0 obj > endobj 89 0 obj > endobj 90 0 obj > endobj 91 0 obj > endobj 92 0 obj > endobj 93 0 obj > endobj 94 0 obj > endobj 95 0 obj > endobj 96 0 obj > stream x_O FRuٍ+TH;ETJiQR)ZHE/g>_ߙk9yngzy

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

https://arxiv.org/pdf/2407.01489
@|cA~C~ bWxRpS4&/yybDrpky$N㛲3>1$bDXpO 2[2:3gLGt ҟ1ZX1ʌ;"f1ֲ>ӏFĈ-s Ri3oa [@#Fh%"߰6Ht ^cbAk|P5%JTVa-ϫf4"Fh  a݂mc,=sĈapW)A*~ƆǖĈ-G'ɊF

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

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

%PDF-1.5 % 222 0 obj > stream xڍZYܶ~ׯ7qI4|KϿ!*

https://arxiv.org/pdf/2210.00045
Nߥpp A~YAZ^E {{ѵ;

Artificial Intelligence

https://arxiv.org/list/cs.AI/new
Through a user study, automated user simulation, quantitative evaluation, and case study, we demonstrate that ISEE significantly reduces cognitive load, improves description quality, and enhances downstream task performance