NishiSearch

Web This site Trusted

30 result(s) for “okapi bm25 site terms com pp site www datacom com site www techshowparis fr site:arxiv.org” of 139 matched · page 3 · 653 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)

‹Œrjì[ýrÛF’Ï¿§§˜¥£’ì#!êÃÉY‰|¥X¶£=ËÒÚJ9W’+Cr,@0I\S÷÷†÷$÷ëž8

https://arxiv.org/src/2608.03882
I[[·Ù­­Z–#‚3ý5==ý5H¿ÿîåñÉÙËà“ÎÒ¯~ŸOŸo¾9ào|Úßýý½§_í>ÝÛ?8ØíïìÕßÝ}Š/Ñÿ�äi|JmÂBˆ¯Š,3ŸƒûÒü?èg¶!„èè¬,"©;âP\Ñ>3÷MÓ¥G’&;&Ëy+“N×›ªD¦áÄBLB•FÞwÀœ¾?v-›\F¿ÜÊB«,%à]; èDÝJ¦³×ß{j™tò"ƒl,\%T'Ê&9¸ ›ÇÃ$¬XÎ7æo¥þ}~ ƒBÞÒŽýn�ÿoûOÿyþÿŸÍMqá¨

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ�VM�Û6½÷Wð¸.`[CQ”Úè¡IZäãT

https://arxiv.org/pdf/2608.03233
T½+Ñj¬±qø8¸ ÇM\¯c¡¤~wD`ž”Œõ%::P ÏsC`à zßzæ¯TrÔêH`$Å{0‡ÝF{ÿìŒkëʆêÃÆ„Ð 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

‹JêÖ^ìüP“_´.“¤I/"]éMzi"H =ŠˆôÞ[@¥*H‘.Z„Þ!‚€‚€téÒ{ïý

https://arxiv.org/src/2006.01402
{óû�sïý—ëñÎ|3ß|3'C áMÞ]ÖzÖó¬µ÷¾'bñÒÉÃÕÂÝõ©¥Õ=~gGkœÿ¯?�‡˜˜È?¿�Çÿå·� �Ð=á{8BÂbb¢Âb÷€Wp…„�×qXÿ¿ß”ÿçÃÃÍý©+++Ž«““ûŸ®û¯þÿÿ§�wÚ�UHˆè‰€§$jªJ:88„0°3Á5ì+©Æd88×ïÚ¦(G©ýlc¢QůTá¬â÷‰$d¾eÜŠùÑ“NjÔM_æ±êØ5#ìñ‹#,NîG§)õ}Rjõ6£T£+kÉËêçÖßC_EÝ}ÿºý›[Â

‹Ptá^ì|‡ô Ÿúoÿ ?ú¬px8:�†ÐÞïFŸ±ýß“)óIãÄŠû,’2ÙwSÿ¿é§ÛítN�ß}

https://arxiv.org/src/2006.02085
rúž�Ù¥•¸Ó]+Z¸W�—ǧ'¡-tfž•ˆÀ�||þâå Þ»ízŽmE{¸�:oŸ=W–ãÄélæ.Ø öîÝ×äþ— o;’›0°?–SÆ‘ñbŠ EP˜ðÚ yoäjz0H´'ÞæÒOŒJœ û²�û»ˆDÈv]¶+Øià@È „óÝú©—¸¡·ü¢ÓùWO¦Ã�eûV”ìÙ^üû�±1þ†ÃýAÿ‡Šÿ£ÑÁÿÇÿÆgg§³³ÃNçnÌàîØÏ…O|ÕÃÞ ˆæ¥Ã®ÝdÎ’¹`Ž´ã$rC–

%PDF-1.5 %¿÷¢þ 1 0 obj > stream xœ�Y]oë6}ß_ÁÇf�uÄo ( ,¶om·E·}ZôA±•D÷Ú–¯

https://arxiv.org/pdf/2608.02851v1
%ß6ùõ�ÃG"¥8/1tx4œ93CŠŒ`“LÔ’)¦­cš9S1Ã8‚YÆeí˜cܨšÕŒ;ͯ˜¨4LCÏ‚ eQ™0F3®˜p†ÞÑLVVÒ»L ²Ì-“ÊѳcÒ8z®™t4¯¨˜ªhÁ™¢È(Sš¹dSLÕ‚ž5Ó\Ò³aZ*úµLkC|rÚ*ÄÀ´«1)3•¤I83ÜÒ¤‚) —ÌhL®˜1F2‚ŒµœœaÆYÁ¤e¦¶Šœb¶²ätÍ,§qU1+(nÅ™•ôG‘.Òð|û-»ÿ±;tãÀþϾÙvc»yn†çîÐ�½¨¸

‹c;Ø^ì˜yÙ˜ñÒ�ÈÏgÇGà�|~Á?ÿ™þz~ûüÏ“ðÙÍßFD9zfd_໯ú

https://arxiv.org/src/2006.02055
×ÿÔé3Bùâ½È¤/;?æ$þæûßeRø ™B&ØOȤô2ÁB&åŸ�éÐOȤò2AåF¨ŸñMýŸz•ÓÍ?_èuø×þ¸5²–%ÐD2æÛ?²ÿˆHwý/øt!wœ¾ò¹êÒø~õßõ?Kð°ÿ¸fœœ¿_ŒoÖÿôzP ûÓÿ?0åÿ¯ÿÿ{d¯©®¾,TN‘uoýäêäÜMjFg}#+ $Â;º±" ˆ€s!»‚”誓 ˆ>ƃ^íÐ[zA èho¤UŠQáØ€Þ‹+(�øTþ©lX™oZ

‹ž–_ÔýuTe±¶' Ca…káîî…»»ëÆÝÝÝÝÝa£w(ÜÝÝ / p{uνçt÷ë;¾ot÷xoŒ—?

https://arxiv.org/src/2006.03594
¢¹Î6†œˆÌgbÇñ3=}ò¶¬ø;9jƒB³^M§ÖM=q°Lù^pp»ø²>ÃÌ¢­ûãuNd‡:ÛÚ�­En=Ê¢ É(_o饖X,Í(R¡cP9‘Ž#áÏç»é4—Ùœ¨+R0ʰǬe{¥¶§'Å{"íß;ÆÕ(“Ú:¿[ó�·Ãm¡jœqèU8y>¬eÒr‰AŠáŽ( Éé;šŸ²]V5Ïþ�X­clàÎêýcö}½1eÚŠ06óȯ~õPsðÂ�® ¼hGyqJ

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ…‘ËNÃ0E÷|Å,Ûñ#o©ª¨ÊŽ¢+ÄÂMF­¥Ä

https://arxiv.org/pdf/2608.03833
‰S‰¿ÇÉJ%VÇÏÜ{Ç–À!!8D e1„¡€"žB Q–@1�oV+`ºìá rîf^ I !žðl§kmÇ©Åf·½Œþ0KXÚbp$—Q× »#šâ¼t3ëõ·„SBFÈ'Î=ÅÜo2ÐešËhÒvÚºU•ó®zk†úˆ]p+‚|î)¸ôº¡gä{&žéÜ÷—¸œ6í±°º1ãyn”y!¿�àsÁïyé´ì›ëkZ™SÜÿ?ášÜ=ö®—ô¥=ZU*«\>zhö¨jì�¶gO-šÍ”DúÚ`+m\

‹ðëÖ^Ôý]ï¥7®Ø æÚŸ¢ø¢ toèýÅwƒ$ƒlLr0IgÐÞÜî²]S¶ËSUÞéNp¾ûð§µ

https://arxiv.org/src/2006.01598
IK”Ö¿l÷¹÷Æ®ªE‘¢ô�)Qä_¾~ÿú¿óî§oÿéÃßúæãë¿ý›üFþK)´?忇?mòÉÄôo¬OÉ瘓—vÖÛdþÍÌÿ¼¨ÿ~ùðñë÷øÃ¿yÿîÝÇgí^‚ÿÿéÿE¾ú}ýüáÿõúý‡7ï~úÒ~öÏ?ýüËÇ/í—ÿî˯þÛùõ«ÿøæ‡~üú§Ÿ¾ú÷¯?¼ýøî篜±ñÿå?ÿ§þÃýå§×Þ¼þé«¿t1º“p¿ŽÄ?ÿ‡ÿð>¾ÿú§úæ‡w  ÿûûwß½ÿúÇ?

‹k1aì}kw¹‘h¾^ÿ \&>²ç’´Þ¶•L6ÔÖlIÖJ²�Iœ“€Ý ±L?$S6"ú>LDY2eÙt"ÚŒG

https://arxiv.org/src/2104.08691
>6JžfÞHxØá@ŠÀO»Fm1Id”±4ŸLâ$3ß~8q=¾ø¸vtèz3‚®“D ìw9”ØHpÖ€ â ˆï`užàûŸüyÿ[z[ (ÌVD8\žÂ÷Iž±,ÖÀR/‘(Æ~Ǻz¥Y§SΫӑQ #ÿ�Sgì�Æã²KîóI†«ŸÄ!óâp ©8�‡Å , #”¡ôX6ÆLpÁÖ;8…šÑ@$"òàìZLU6×7^B+h!C³T[-±ú•8y# Eº;ÔÜŸdäAá!\·ÁO”‡}ÜŸ(¾Ó

‹d�rjì[ëŽÛF–Îo=EÁèqlD”uW·ƒùáq'@¼ÓH²3ÀF�¦D–$¦)’ËK«Ay�} }±ýÎ9U¼HjÛÁ

https://arxiv.org/src/2608.04003
8vßK0\ÇIf'çGz·4±¿Yd&Ò… »$»Ã—UÞ[†Ëê-ôûÇ®“qo²§{$*N ¼/èÐ+$\5‡€l]µ5þFÇa¾Í‰­2w|¤: á*…UÉÚ¹2Úßt*�~ =0²oW-ËB…¹¼H-÷…ñVIæÑ*0+]F~§Q²'Æ{²ZCî¯L¶Åî‘û§½qo0­TCùº„…°BŸˆŒW¿·Àéü"Ú[] ÷[³M²}Wá±Ì³ºÌïÂ(ýa™ÅË�Îü�r®Ø)É€0(TãÛ—")A¸ ¯]»Hȳ¡vtá Ûäžþ`OZrÙ´ÎN4ñ¸É¢=ù4Q@OW†}ÎoÊLšd¬ãŽÄFÒŽ ðž;Oô�uã@gAø3x[Ÿ£06ˆ‹ÎΠuéFR’÷_&K~

‹pŽÙ^äúeT\ÑÓ= n ÁÝ îîÁÝÝ=¸»‡àîîînÁÝÝÝÝ¥‘iòÓ翞yg>¼ï‡YsV‡¦Ï

https://arxiv.org/src/2006.02833
ßW5Îîw¤Ê–—W8Ƽ$޶i RËØiÜ熥Œy¶cJÈãÙ"oÏJH”$�ÎöKzâÖŠ iáÕBUÎн’;j0‘×N×dúÕUŸÂeðFRÇ bÎu¬„0(ÂðR¯bgMWÜç"2xáÕÌ�*qŠƒOþ6~XU¨Û

‹•�Ý^ì} `Åúx°`¡‚ˆ"(¬Æ¶½’œ-DD@î³AL“MšdË&¡)i¨ ˆ¢ò¿iiº �.

https://arxiv.org/src/2006.03318
$³“Óyg†–öäÓ>PPÙ/,A'z�l ð•£q¢ŽCÌjÞbÂ`Œ�b�jrçR 0·v…Œ %ó#\\ˆ¬&ð)Ü|�LK\&¿¿E:™"ĉ4 Ò¦�ˆG,ቹ$ i1μšd(ù­•ÿ

‹Z:0fì\ÿrÛ8’žã§Àn¬Ù™9ÇkÉNvn§\µŽl'žÈ?b+™dL'’ „1I0$(KáèÑ®î‘ö¶ D

https://arxiv.org/src/2402.03300
íÙ­›½JÝÉU‰¯»Ñh4 €²'¢ˆÆ~¶-Ùü«ß鳟gÏöÔ7|ŒïÁ_»ý¯ú{Ïú»ƒþ^°ûÕNÐßÙýŠìü^ Õ?y&iJÈW©ò>º‡ð/ôãÄìÎÓ>P8a&£eá€+ÈÌ+FWãÓår£AwK²¦8†'ƒ€JW"ðÉ `±'|–ÖÄ•%á-[Ôˆ^Á“Að)gi�äµz6ˆîüaogYl'dŸÈ“�í§›Ë-Ò Øík’ýXz¶»âž·bÞܵ š›ìãMK];Vý�FúÄ‚O54°¡Ýï5´kéõ´Tyï

‹ß�Ù^ì[k“ÛÆ•ÕgþŠN¶TžÙ%9ÉrW“Éͬlù>.v˜47›*£T0#üYçŸ+>ŽDi:1@[vU

https://arxiv.org/src/2006.02155
¥Ú’–�™YÁ“NóhZï Œa·¼¥�VÁñÅç¿*޹0d”•÷œ³¨ö´Hjze³¦¢íð$aìü?_ªkÓl!¥Dûsõ…n`&Þ*©åN%¾b¢7i¿éÑ®p:ˆöE¿T—°¬Ù§4¯‘›ÀsJø¹ƒøfÁ›|ð’�î�u*Æ$fÒò÷ÄÁËš«?C‰8œ„Àþ©oÝdkzyQ::¾Ûh[ú3ìlÁ‹þÖÙ†Þ¶ÙÈBt¸ªðÛœÇäñ¦òÆdÊ|J[ß+ƒáUsì‚/g®êš,†eÑNVÉÕ©i…HìÂÎ

%PDF-1.5 %� 91 0 obj > stream xÚ­[Y“ãÆ‘~ׯèG°#º)Ü ý6ÖåÙÕh$ÍHv¸¥4PÝ„h

https://arxiv.org/pdf/2006.01402
µýæ—_8 b½±/¬¬¬UYyWÑ»y¾ñn¾ù̳ò/ï?ûüë4½Ùo÷I�ܼº‰vF7in½ýÍûâæa“µîö>ŠÒMÝôÊã)Ë{WlY}°]~pÅP¹ÕdSvD?fù‡[ßÛ¸Âê/,3OMëò¬ëËúùö×÷ÿ% »÷ýí>Nøù¼9žšÚÕøö.Þt Ë^ËhsÈÚÚu‘Y}ëÇ›VžZçåŠÍ+·*ˆ¬5ÔÁÚ°ÖûÅ2b.ã¹m†Z6ìüMá{@ž|ÐPÜ ;�Yæ>¢µi?

‹™Õ^ìX 8”iß§tR[©TÛ�‡F2f0r–AL(§!#Õà1†9™ƒó©V‰R¤Úr*ga´ m¶Í¶²±È)ÂG"Š

https://arxiv.org/src/2006.00342
¨uXÞ{Æ8•ö}ë»z÷ú®oŸ‹™ç¹ïÿýûÿŸßÿt߃BYèê› ÷íÛ'ô•.¸TT”ùßàúð…B+ ¡•€„² ƒVB¡ÑŠ;ÐBêk4ýâ°ØD& 1étö_Éý»ùÿ£�îâÍ€™lØëï¶äŸë︔™Ê$$Ì`}=™ÿè(%eAþïPB+)ñò_Lÿ“ÿÿ…KFÊÌR^׉îË+!Q��™å.Þ�¨ŒŒ&²éLuG%’`S"‰ìè© Õ�;À¤™M�Õ¡©è™X@¦Óô‰l0¥ˆRDÉ£0òJ(+´Š:

%PDF-1.5 %� 212 0 obj > stream xÚ�ZKwÛ¶ÞûWh)�c1ønVI›ö¦7mÓÖçvÑvAI´Å>T>

https://arxiv.org/pdf/2211.01910
œ¸¿þ~ƒ� -ßE7&8Ìû›‘ýÍÃÆß|wóöîæÕ·ÊW›ÌËboîî7ÊO7I{q 6w§ÍïÛ�ã¡*ûsqÚíuäoó^žü8¶Í}Ñͱà÷K~):Y1ðóý×~á‘öu°ûóîû›ww7Ý(\Áß(9Q{ioŽõÍïú›&¾ßø^�¥›ÏfY½ ²ÏjóëÍÏ7¾Üß>§­”öâ,ÜDIæ%*¥íþºñb�E±Yá Í”ýN¯Þ×jóM‹~~¶õÞî½w6Ÿä—B~qhä§}OûÙ&Š2Oc¹‘á~äçø£XoÆ¡­ó¡Ø

‹�Ù^ì½xÕÚŒ…TAdÀ $° I-i¡H $HHœÝ�l†l ;»„V°¡‚± ¢¨H± €

https://arxiv.org/src/2006.02924
Â¼Šš3B×­Ðq¸_Íf4®ÙškÅÓâtÜ ›ñö¦¢‚ËÓ«œ¹¸"VÌŒeM¶ ŒpQu—2ZÅfr)—M

%PDF-1.5 %� 58 0 obj > stream xÚì½i°eWuç©úÚý­#:º#:úCuô‡ªnWT‡+Œ1¶±²l

https://arxiv.org/pdf/2005.13905
&Q,l@2`„0!À`0ƒ1 À£$4g*S9g¾ùÎÃ9÷Ìó�~üã‡ÂP­j÷‘ï?ø•¯}–“7ãZ+·�×½á7/mœÚê_^m�ûÊ7?ïGÿô™S�ž_9Y,|Ù?qâAïÝBÿJóU$è+{æaFÚB%„¥´5|!_èF04í Ùî0ê«­kÁ ¨Äžt²:�fJ’5^€�c`츾âyZÛIâà˜Fv[Yb4 ­ áhóE9'�'�“HC³&¤3h¨j|ÀwÅæ“’cM�}¡iGœ{þÄõXÛ

‹âW>hì[msÛF’ÎgýŠ)«T–네$¿èlG^+å·²•Ê] Ú  H¬@ €’ÿû>Ý=3

https://arxiv.org/src/2506.01844
(Rvví»Ûª°œˆÌôôôôËÓ3Í~ÿãÉ‹ŸÞžx«òì»oóéãóðá!ÿÅgýïpÐ?ønpÔ÷þßô³ÜQJ݃ fÅ=u¬êr®{Ò”ÏËPWÔxN ø,Í_z=¯‚‰¦—÷ê¼Hõ•NïõZ¯ã$ÕY0“³ ɼZßÜ3V½; &“,/õvrFagÑW¢7�«z‘ê"gÕWäÓÒ�Y™ú‡·ò÷ûó4òê:þÆÓ|Ô“y”ß`¦"ņfAí�«ú+“®õ Ôký?ažÕ:«¿âvùŒYúñìëR-­°¿"áz )Ì0Aô5µ²

Approximating Choice Data by Discrete Choice Models

https://arxiv.org/html/2205.01882v5
2 Details of the DVD Dataset M Additional Empirical Application: Fishing-site Choice M

Finance-Informed Neural Network: Learning the Geometry of Option Pricing

https://arxiv.org/html/2412.12213v2
Report GitHub Issue × 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

Optimizing Age of Information in Vehicular Edge Computing with Federated

https://arxiv.org/html/2407.02342v1
com/qiongwu86/Optimizing-AoI-in-VEC-with-Federated-Graph-Neural-Network-Multi-Agent-Reinforcement-Learnin

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/2407.16741v3
com/All-Hands-AI/OpenHands Slack http://bit

Sphere Retraction Normalizations

https://arxiv.org/html/2608.02668v1
com/hazdzz/deep_connection \ncudata[Correspondence]Jie Zhang (), Correspondence: Cheng-Fang Su () “Geometry is not true, it is advantageous

Automatic Patient-Specific Microwave Ablation Planning Accelerated by a

https://arxiv.org/html/2608.03086v1
org perpetual non-exclusive license arXiv:2608

Efficient Multilingual Neural Machine Translation via Corpus-Driven

https://arxiv.org/html/2608.03480v1
com Arabic Institute for Translation, Algiers, Algeria CERIST, Algeria Nasredine Semmar CEA LIST, Paris-Saclay, France Hassina Aliane CERIST, Algeria Abstract The adoption of large pre-trained multilingual models for neural machine translation (MNMT) faces a major challenge: excessive memory and computational

Can Large Language Models Execute Parent Orders?

https://arxiv.org/html/2607.28410v1
com/zaneopen/PACE 1 Introduction Reducing execution costs is a central objective for financial institutions (Bertsimas and Lo 1998)