Web This site Trusted
30 result(s) for “okapi bm25 site www eyespy cy site www zone cy site can kernel org site:arxiv.org” of 233 matched · page 2 · 498 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: newest result fetched 24 d ago · median age of these results 25 d · 2 of 30 carry a fetch time
https://arxiv.org/pdf/2508.11152
document was published isbn Text external ISBN for the publication in which the document was published doi Text external Digital Object Identifier for the document url URL external URL at which the document can be found byteCount Integer internal Approximate file size in octets pageCount Integer internal Number of
https://arxiv.org/pdf/2608.02615
ÙXA{Ã:™Ð•´&¼iŒÃG¯9 Ÿ8¼û >•a³f4ëƒ @±�ï>MC™Úšµ„îk:\\>ˆËÔ]tÌCy'rRg³èØ«[ßô±åÄ–ëö¦��óu[{Ñ‘©2{ºVG7akؽè˜÷¯¡´«Î—ê™ÈÆl9è™;;ÊVTé[Âéû«Kd½¿y™h•^>A™W]L6t2Ë&›À„
https://arxiv.org/src/2303.12712
ýÊù‘èÖœ µhË7X¾I ë‰@ö»þ{=œKL*óì�ç1‰‘cÝSXƒÝBSЉßÕjŒäß+ŸÈý€ ÛÛÛî6�“µ�ÕÞ(Ja'3³œÒÒ:[e8#ø·” ozb‚J§áëW—ÑLqŸcy™\3r8ÃóȆ«�4ûö»¿J L¬á2ÿN$Brd9Öר>CPÓf²6-Ïkú;N:
https://arxiv.org/html/2501.13956v1
2 Knowledge Graph Construction
2.1 Episodes
2.2 Semantic Entities and Facts
2.2.1 Entities
2.2.2 Facts
2.2.3 Temporal Extraction and Edge Invalidation
2.3 Communities
3 Memory Retrieval
3.1 Search
3.2 Reranker
4 Experiments
4.1 Choice
https://arxiv.org/html/2608.03048v1
for large language models, as recent recurrent-memory approaches face two inherent challenges: sequential chunk-wise updates can overwrite early critical evidence with later irrelevant content, and serial inter-chunk dependencies limit parallelism and cause latency to increase with context length
https://arxiv.org/list/cs.CV/new
Project Page: this https URL
[2] arXiv:2608
https://arxiv.org/pdf/2608.02943
%“ …JŤ(G3i¤CÉLZsH ”£Ò;å™ ¨ƒ L¡H‹8³LI B•„ò¢SfJCÃ`85x»²Ð€…rL9ª$:$øYPˆ” &ø}ú)»ºeÿ~l—‡ÍnÛˆOØÕ·ìêóÝw;öêU:ûSDÍÙvõö‡�ªºRòFêíÓÃû9^¼n×kÎuàܶœ; ÿÚ0f±m਺qÒxûªGðô®q P¶á`¶ ƒbÕfò—ÙÜ$›ÎŽ+>P*g¡–(I35Fg•Iêjnrˆ‘Á‚xmBÒ3Ds¥±¢£œ¤Õ%Q&k6WCÀäéÊenÚkyŠÍÃ$$rí\B؎À柳[Ö¤¤úcy×:󇉇G&H‹uÆ@bˆ÷Qº"¼bœ:#íGÔ\
https://arxiv.org/pdf/2608.02244
ˆQîÚÿãóÏEóDü”M‰ïEóê¿ÿ”¦ ²Å\ã³ÑHü,=:ïÙꕞ`ŸôP‚Ë=É£•ž>J¡é j—{e¸4æþd™w“iw"íѼÍW“—“̡Ǔéa7Å d´Æ‹ÍgÈ—¸øZ4OEó}w@ÂJë6IºD8ZèìßkICÿg¯çïO;Ñ|3ÿ ~çöãñd~%EqŠ(اo˜@ko¥£cLZØöv NO»ñáð�ürOº¨²NKC=*TÙ ¾™ÛRu|²ÖJzCD©`˜Ö)ém%ÊÖnKÑétr:™ çÃÉX†]¤[`ˆ2ÁÉ”C¹•ÄÀ d>’ô`wpͪÇaXá–Tݯ ¸$cY¥ÊÁ›„Œ_nCU÷ÛÙ “¤wᔇ»Ì¸ÅÙ
https://arxiv.org/pdf/2412.12213
Finance-Informed Neural Network: Learning the Geometry of Option PricingAmine M. AboussalahXuanze LiCheng ChiRaj Patelhttp://creativecommons.org/licenses/by/4.0/cs.LGq-fin.CPstat.ML endstream endobj 4 0 obj > endobj 5 0 obj > endobj 6 0 obj
https://arxiv.org/pdf/2608.02942
%9 Zþ•—æÊÑ)°ŒÎ‚ä2‹$�qîH&¹´•$÷ÒêÚcY—€·müâÈ6aÔtíɃ¤¦( e‹6hDÌ:I'�ài>dY± ”¿F«îĈԫjQM_9æÑv
https://arxiv.org/pdf/2609.18842
‰‡HE„ *€QÔC6Tßnn ÞHöi{»9@}ÚŒãæ}m¸þx9î£íÇpkúßér õÖæu»\oV`8zA½½ÞíÍ·dÿ z˜î_wë_‡í½V¨Ÿ|Ê0õøørøý+Å{ð›àÏv¶Y£ÙŒU˜žÎ-Í|½> endobj 28 0 obj > stream xœí\[sÛ¸’~ß_ÁÇÝšJ@Ü�ªSSÇq’ÉÝvn35ŠÃØ:±-�$g’ùõ§¿HA"åȶ2³[µå"‘ З¯Ý h«ºÒuå*-+©**+++%
https://arxiv.org/pdf/2508.08980v3
-ð„õ®3;ËA~ýu�zv%ÍÌîª\Ìn«_ž~Ô’z´V1É´eŠqa˜fBVÌ0á ³LjÅS¼bžin|ÐV2Ιô™• ”Ìzx€ª¡f^ Ö+ÃgnáiáéÀÊÁÍD©À®‚'‡§uL€‰Ò¢ƒ¡üqíà‰. @ãNÂ8øóÖ>0c€!„1 UàB À¤ @&%˜hÍ$¸òÈácU�Lx¥˜„$à�žèǃ‰L+ @)p© ¿BSp¦ÀÔH¦’‚T€`Ï€ Ø+ø¨ÈáÏxÏþiÇ40ÇÛ$Ž›�
https://arxiv.org/pdf/2608.01657
#“®D9q~ýÞ‚2 ‘ôzF#Q÷ãà܃$#áDj"U”H¨&Š0#‰&\PbˆšX"Nh‘ŒPJx(#.)'ZB1~$±B€©áWKBÁCÑn! 쬀_�£A¾0„ª€? ~‘Ž˜Ê!.ÀfRlü ÅBœ…P.“ÔÀLp8ƒÅ ‡OÁÁj T ._`á�Â�0ç Èr—P»(ˆ ’Á” ¸”V—Z�Zpi!^Hò¡4Éऒ�†H…ª‚peƒ�%Hl-ƒ`¢
https://arxiv.org/pdf/2607.26245v1
�âf`q}¿ÄÜÔb#Ç¿ 5Ï1¹$3?OÁÐÂ*VZ’“™Tca HLOõÍOIUÐ-N…Ë‚…‹Ì-!ŠB*€ œ�Vå䧃l d~+ endstream endobj 4 0 obj > endobj 5 0 obj > stream xœ¥ZisÛ8ý¾¿‚“ÝÊ€8H�USSå#Éd&‡grmå%Ó'’¨P”“̯ß×$(à9[GŽîׯÐàa ƒ( ’€Ë0Hò€‡�Äç�ŒÓ€‹@)4Ê Ñ¨‚8Dc
https://arxiv.org/pdf/2608.02386
¡dsàß×Þ5 ËîD½0‰Çc¿÷lÏl°@@6@>xHl `‘D°$öJüÙ€MŽWhH\ -ñ¦Db;:">H²ï‹‚× èÞ�€Á{ÃA òŽ—(½;>†Ùeµªê-ü€Iý«Ü|ØÚ˜$%$›q�zúe)nL©tÊ90îöƒDI#¢`¯Ÿ‡#Ë( ´Ò™2"ŠCÈ8�ôP‘q`Õ\®“„ˆsñQ0ŽˆâðuQä°+r”X5—kž¨Âf8î}2ª:–ÝåD.ÙC4qnDzƒ&r˜ŒË â*
https://arxiv.org/pdf/2608.00458
ù~ ÏÞ›Í�àóàÙ½_õÐLŠÛ¶hù*®|ö:ÊË6å~�rx¿U¼/ÊøÓ€:¾ÌÎ_A)Ÿê7ÍòSóMµ·´:º[¿*µRâ³¶O{ôø×MîÍ ÚêÝ|§ký•®Æ+uÕ"¨ïÕr¨íB ™cYüCZe[A:Ñùミ> stream xÚmTÁn£0½óÞC¥ö�Ɔ@LE"¤¶šhµ×œ
https://arxiv.org/pdf/2608.03340
öjÔZ0¼¼høÍáÌw;3�ÍB ã”p-²ÅÁ�ûÆY¡SÀÑ cyß“Ø:kØœÁ�Z‹>œå»aÒµóÆþá‹/ÄÕ7â_”Ó|%®þþ�rl%Áì&IMØì×kñƒøòËcsì±yT2Aë�²êô‘uR2C¹>Ðú Å[-ƒÿU(èò̓¶2Ã$
https://arxiv.org/pdf/2604.05327v4
[5ÝŽ¤öÌä×/@Qj‚z8¹ŒÜ ~ø ’ 4‚L2/˜b\¦™P3LxÃ,“F1Ç”¦YJÞ@†róO(Œšï‚Ò±‹üc\°-Oû¶úÚ‰Bõé¹i�`÷VÝòSszmŽÇ Tı>¡ïúôBÃ}וŽ]G®©Ï—öÜt‹æXwݹÚÕÏõnŠÉÕnן*î�ÜWÏ€pÔr©V{ìú¶9½à¤K.m¢¼²Ž ê™OM»/ 2мUm[•»Áý0¼oNýîµzEáëãùPƒt�ÇU/:6Š£Ú7÷ÔnWW§] 0¥x‡†u
https://arxiv.org/pdf/2608.02694
16 0 obj > stream xœÍZ[sÛ¶~?¿�ötBá²ÓÉŒ/q’Ó¤'c;—¦í-Ñ6EôPtšüûó-Š�DÆ·™¸£‘A‹Ýo/X,` Ç8)Sø›1'™ÄƒtL & t|“oš©,eÒ0Ðc™–�Øj4)KuÆdÆÒT{vœ;¦À†kÉ”W.¦ ©,Sš e2¦ Ú ôâ0¨Z8)NˆCk8Ó2…\ðË QPC8ÐR¿N0ÑŒ IšG*Ð8P+‹w T™a’DF M3àg3É ø9hdÀ
https://arxiv.org/pdf/2607.26405v1
$Ñ¥('鯿]� ¤“™Ld»‹gŸ}@ŠfyÆ2¡2žI2‘Q¢3™Q3•1.3�q¢²"ã0BòLÈ |°*Rg”�N2Šp| 0ëQ4¥yFÁž´ì`×/ p!“’e D a`šFÆÀ d *@�ÁR çÑEœG ô5¨vCT€Ï0Äs ¾ƒ øÃ)¨$ã ªÁç ª@þ$ ¾‘?ÿx|y�pdÐlt�ÐC¦ñÐqóAÀ&»1Ï'º1gi=á–N®ú‚â6‘¹M ïÜ’ÞŸœýö®?á^óTÍ 7�I·
https://arxiv.org/pdf/2310.19147
%òï;Cr×ä.¥ ^éÍìÌ›Çá�B¥)VE?cPN9k”W@�WQ Q `à À�å/ œfœcø( ‚蜫,¿ä’g'¯Ðr ='€¨H£VüGÈ/#("ÍFdZ^Rd1*NIŽA´Š»§'·ðÂü,qÙÛ:4ñE09ô,õ`[_:Þ¨e,ÔòMtéìN½¤+ŽÏ_ÊÁKó®¨Ü�fDdÆÑ(ó¥gÜO+¿ð§ä?6óŒŠóg{š='å$D ࢌ™³åÆ §ÙŽAæ,¹ŽA&K%
https://arxiv.org/pdf/2205.01882v5
žÄ35šÄAâ,:ÿ¾¤-e[ÖdN£�ùÞ#¥h‚ @�ô4(kÁ€±,8§ÀAá-x�² %H-HÒ"}�´É�EA räÔ€V[�°@²[P(¤¥í÷ œ!{Z §Í QÑf ZiJ† µ£$ ´¥z¨�>J@Úò[Ð…¡äŒ0(…‘¦ b`ÐQrFY J‚ц8!Z •0–’*MµúíåK¸úX¯ëvÿÁ³í®Ù6ûº›ÍÌ'c³#³éÍ»j]î~ÌäsV°7ë‘QI=0R%ŒßàÕ«öc˜} >
https://arxiv.org/pdf/2608.02817
02817v1) >> endobj 42 0 obj > stream xœÝ[ko¹ýÞ_Áo›`aŠïG�íMb Ùdc·»mcyìN#i\INâßs9#i$�lKã$F±«pwÈsŸ¼—¤�f‚ÃŒdƲ ˜qL*ÍŒgÒYfSÂ3™ÂÏ‚Ôkf%sJ2«˜÷ŠYÍ¢6Ì&EtÌZ| ‹~ >µèÈzÜ&½¶ÌF&CŒÌ ôìs’)%©G¦4nœfÊâ#g˜ò4’EsŽ©€qœGë-s@•`
https://arxiv.org/pdf/2608.00785
3i‚Ocª›Ñ{&à=÷«šÜ6*Þ·Ä Ñ““ xÀÈŸb”Qi‚´ÏØ«ILÇÊŸ”cY&e™&¡
https://arxiv.org/pdf/2510.03215
7 %¿÷¢þ 1 0 obj > endobj 2 0 obj > endobj 3 0 obj > stream Cache-to-Cache: Direct Semantic Communication Between Large Language ModelsTianyu FuZihan MinHanling ZhangJichao YanGuohao DaiWanli OuyangYu Wanghttp://arxiv
https://arxiv.org/pdf/2608.03437
obj > endobj 5 0 obj /Dest 2814 0 R>> endobj 6 0 obj > endobj 7 0 obj > endobj 8 0 obj > endobj 9 0 obj > endobj 10 0 obj > endobj 11 0 obj > endobj 12 0 obj > endobj 13 0 obj > endobj 14 0 obj > endobj 15 0 obj > endobj 16 0 obj > endobj
https://arxiv.org/pdf/2607.26188v1
J¢M¼ëØY[n¯ÿþ rHŠbÜ�ÉD6H€ EV1É´eŠqa˜fÜkf˜¬8³L‚Ü1%4óLyÉxÅ´Œsf¸ƒùÌ Ë¸dÖÁC1g*Æa®„™&Wð*ëNç–ÂGúÌÞ1Áa½†' )É™€¥ºRL *a*7ž¨JÂôYOÐç�gþ¸R€–‚T¡üyŒ„Às+þñË/loTCÖœ²½“æ-dO÷ù}½j-:Ú}ý8kç Øî¾ýú+-tU°Pe¾_5ߘ•8‘(‘�=DFJt¢Äô£‡Ë ¬
https://arxiv.org/pdf/2608.00426
®gH™Ã‘¥|ýv“ A*Þ*—GÓènœ>Ýh€à°„$чO®ˆJ :#Ú$]rødà ¢ KeÂѵL!"p 8 H&+‡)ê¥ð ,€)KAY +„ +\Jžt 0Ÿà‚èD `I „ÔÀwøGÀH m4=pÁ‘W&Z ‹ þÐDƒ>º60©„!’²DJ‚ �WÉ!H B K‰~àOœR"U y ö@¹4 (R‚RþR•„„�Tm@O'šh¦‰æ§2�C#A˜hC ¡’‰ß!ñ ”’TCp =5
https://arxiv.org/pdf/2508.02691
7 %¿÷¢þ 1 0 obj > endobj 2 0 obj > endobj 3 0 obj > stream Statistical modeling of SOFR term structureTeemu PennanenWaleed Taoumhttp://arxiv
https://arxiv.org/pdf/2412.20138
2T\{%©x~X®RÜúÿoýÿwþÿ7þÿWÓ[Œ©,š8Ü^Ú¤¡š÷øÊóúþGÌwíÿ¼È]¥"Êâiíä8ú y2è ˜Isÿ·«ÉˆÓ4øÖ£•¢˜ì®±ŽB Åðî ¿ƒ�DsŽ‹â4ÛCßN¿n^J�ãôïñÿ(e¦çÀs†Ã¤ E¤ÈxŒòLØmö ‚ç’Ô9 ƒ£�¨Ä��H¸±1tä‘ÁàF— Ëûë ÒcYÆvÐŽ×|DžOõÊ #ÃT$yvVìñ“ãqy矨*T8K�€Àñ+U3EpS¢¾§·9HxàÞâü�&WB¦Ôù WÉþY1 Þ§ß ']oÉîˆ