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30 result(s) for “okapi bm25 site hotshops pp site www 31 com site www ja org site:arxiv.org” of 126 matched · 799 ms
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The query asks the model to recall the topic of an earlier conversation about Tesla; the gold answer is anchored in one specific session about Pooja’s dig site
from the top result below
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
https://arxiv.org/pdf/2608.03883
3/ pdfx PDF/X Schema external URL to an online version or preprint AuthoritativeDomain Text http://www
https://arxiv.org/pdf/2303.12712v5
xÚÓÎP(Îà ýðendstream endobj 29 0 obj > stream xÚÓÎP(Îà ýðendstream endobj 31 0 obj > stream xÚÓÎP(Îà ýðendstream endobj 33 0 obj > stream xÚÓÎP(Îà ýðendstream endobj 35 0 obj > stream xÚÓÎP(Îà ýðendstream endobj 6 0 obj > stream xÚíX[oܶ~ß_1o§’µx‘H)l'q 4Ѹ§Ah‰öòD
https://arxiv.org/pdf/2508.11152
com three Proceedings of ACM Conference (Conference'17) book 1 1 9 9 Tianjiao ZhaoJingrao LyuStokes JonesHarrison GarberStefano PasqualiDhagash Mehtahttp://arxiv
https://arxiv.org/pdf/2407.00125
) /Title (A Survey on Failure Analysis and Fault Injection in AI Systems) /Trapped /False /arXivID (https://arxiv
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
https://arxiv.org/pdf/2205.01882v5
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https://arxiv.org/src/2006.01048
�z'P"²#3Ôf+ Sdy¢ž^tϰ=wÙ�®Üy@ :¤ó–dÿÊÕÞw °¹ØÄq³ ™ºN½Òðû™âzAýpO,‘é÷÷VœA6“&üG6‚Æ9"×Ai6ý£ZÌ þ¢È¿ßÙùÓÂÿ'‡†•åÕÔRâââ’’’ÒÒÂ:ÈÉÉ�{kjjª¨¢EçÍð ¹¹¹ii#©www� «†æ‡h†}û'á”ÿ•5©QõîÌUUUþLK[q~~ž%8–Î�fN„œ’¢&(èWRrt¾ÑSÅ1—&ù599Ùñd±®¶6N]èRcÅ·|h®„ª,,„ð ÝÚÜdwØ_ßßGÇÂJ�ŠÒ11as»µØÿ-™ÊòÄ ˆa~aaRB‚Óùz×ÈÈÈô´B>ê708l6£t%»’ô�$
https://arxiv.org/src/2006.02833
jA-�Èóð\Ð=lmÕ®ÀâiÑäu¥)Ý=ß©»6hoÚIÌ} ó+ˆh'ˆ´¡kÕó&z@ô\Oª¬22ßÀ�ŠZ~Æý›×5,ù:°´Z§ÎŠÿcÊòtÝz‚Ð_ï 5o9�ë(-âa3�›óïÒ2z÷]ØÜ�d ‡L>Ñ©ú×fåÒAð‡&Pª`2
https://arxiv.org/src/2006.02759
YT,‹ *Šÿ¹ËÌÜ™LÒ²øþ÷þÿÍÍÌ�{Ï=÷ì÷Ü;3==ö¡Biû¸¿òHƒ#;»#þ…Ãø‹ÏÓ3²²²Ò3³²:¦Ç¥¥§eÃ×ñ/ÅŠ!IæƒE9V½ªîÿ‡= ÿ=b€Ê©þ�Ïf—.÷8ƒ³²2ÍùŸž–‘Õ1ñ?=³cfzfZ6ð?£cÇŽq\ÚeÆÃôøÎÿ$NÏz.5•Ã21‚“ä2¯À¹Ä —?p7A ý¼WâRòø`1t¦z=EÍ„ ÇA*·IHJHâzçé58ÐÐü�ð5Çõ e·
https://arxiv.org/pdf/2402.03300
áÀ߯«›ÀÌjDÕå²»«ífðãc;ZæÕÁŽÌ«Ÿ¶®MfGÑÏ}í q•]/¶ìÞÍmÞ¯¶o⣩²íÄ0ZÇë²è^œx]fçkn{ÕÿE+{*ʧyÄpg�6;5’PìŠîìVž¤pH8$hù—mÚ¢*ß„z•R:")ó¨º ÊÖß3‰qŸûX”ysO'Hî)-ò"ëî}³‹³‹ÍÛ[ÛÙ˺s �á3 4†{´¢p¿YôdšrýØëKæ‘+ˆ™ÇÞ a }ÀõàíÑ« W€‡Œ{ Fvm734…4˜‡¢´�A«»èGÞÿc
https://arxiv.org/pdf/2608.03118
ZØz|ÐPG«-Tû*¾öÄö1ÇÆP¡8YîvkÚ©-'NÄŸéá`ÀPMÝŽ$&‡] L—'|*¡ûÍ�¥p7k7m¢E™7·€nÙîrøy09U=–PP#ü'#Þ„v2Zú$íþt;Ʀël�r5÷ð‡ð”
https://arxiv.org/pdf/2508.07408
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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/2508.16279
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https://arxiv.org/pdf/2608.02851v1
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https://arxiv.org/pdf/2006.00342
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https://arxiv.org/pdf/2508.04671
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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$Brd9Öר>CPÓf²6-Ïkú;N:
https://arxiv.org/html/2501.13956v1
com
Abstract
We introduce Zep, a novel memory layer service for AI agents that outperforms the current state-of-the-art system, MemGPT, in the Deep Memory Retrieval (DMR) benchmark
https://arxiv.org/pdf/2608.03157
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https://arxiv.org/pdf/2607.26188v1
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https://arxiv.org/src/2006.02893
Òå§Dâ&&hOÕÙg§eð_±ËpE» V*ï %&j†%îåùRI¯ÚfmÇíJKÞØuuŠ'�™É05yËþˆýpP=rH"0ì*«Hkf>8À¶‚Lì6Þ@ä 9²3 ç^ÿ°0ZpÁìâi»:Š=¦ýS%ÃEŠ×L(Bòf³z€®ãç| ½ÏÊpT�²*¤sG¹Ž¯vJ§A¶—ĶÇþ8…„CiïOàº�’Šù°ákÑYEƈPr˜OqŠJ[Z%ß%ð\X>sv=FÇõêÁÕ^ut
https://arxiv.org/pdf/2607.26405v1
–#1ÊöõÑo8’ýYÕÿˆ2òµÇ»HiôþÀûª»)®›j¶Xß—þº(ÖSLË8N_½D‘Ì@‘Z9Jüܪó Q@6€fîêb^Χ€s2e¹œ‡½«8”ÖÔ_ \³Yªb 8ï¸õ®‡`µœn^/ë/Å’ÐߪÕl(œ�-6‹@�Ja ¶¯õò–€ŠÍ¼š€Ì Ç}P2„[¯ý${[—Õ…ÙÊÎfRŽ¢ªŠ3 %Ñ7ýˆô‰‚)Þ�—fÅjA>:[ l�€KKÃé|¦W(ß§ [Ô›�eE©ÓlŠr 4-Pù¨šQœŽTL€vƒ^%' 87Å4b›W�>mH>1Û§²H†¶(ªf0ª}P=f`Y]NÁu]ÜËY9¥ÄP(�€æ*¬Dˆ:
https://arxiv.org/pdf/2608.02666
'±üd$ ëÿìWõUóÒäˆ)‚]ŠÍîêêºWu“ÿˆ¾‰þÝ}ñ£‹~ø1JõïÇД&YÁ{þS¥.i³è‡¿E¿xŽŽi’¦y=ÿUµöÂ%¯]REY»yþ[t÷üœE.zþKô]ÿäê::º(Þòò�—.Yïy9Œ_bÞ¾\_odäGvºaë-KF�üŽ�){:^>^oÊu¦ _^GmýÏŸ£o£¿oÞ¤SÐ9èTQ©NáR»2)Û¢Œ\[™NUçtÊE¤:µód¾€Šý¼MÕ&UYb½-Ä@uÙæ�%
https://arxiv.org/src/2006.01128
NÎŽøø ŽvvÎÿŸúý{ÿÿ§"‘¥a e�"™_Y‡bŧǷ3´„âæ†¢“6±5s6Çgdå`ÇÿßE'jaílâˆO'jmàl"lbdglÅËåäìhb`å¾¹£-‡Ý†Ø{W‡ïH_ lÑ‹‡>$1N¢î RïS¿�$|Eì DòÇ«—`ݨǴE‘¹°(M×5nˆÚW‹¾A´�EºQ…õ1Þ6XfÉq�m UÂÓå×þAÞŽ¤É•ÙOt$»Ó®0H1¢�ΣšüÙßl¿)ü)UÂ#ލXž×})™•O⺧ù¾üÜš´¸Æü//4‹©Ë¬nƒ†+&8o¯Þñµ_BS¬Ïí)„ø@°w¯ÎÏ7©îAøê"1Ôÿ4IJ—ÁÛ¨ Š´¬•8z’¥Cžpkí‡B
https://arxiv.org/src/2005.13905
M¢}œZ]ziŸ¹=ï3Ó]¶/pp‡I)6H®&Ê_öŽÎôæŽNþ€Hí째Gıh® @°¥©¡€%ÐYn—)ºÈ$óµAlWéŠ*tE6ÙJÆ4GÖ0ôCˆ·®bXE€´>£L®YSÜ
https://arxiv.org/pdf/2608.04008
Ù6¨¦ãþ ¬>Ÿ–£þÇÈŒ6=RBmL”õ·LXƇÄM¤_ ³|¼èÉöVõN‡eÑï]Vƒñ¨Ð[ÁRóªÒ{‚ñ5X68$T§å÷ž…`=�ªŒì™"ÿ03[‚Rô/u‰ Cƒ*ÌJ¬³sI)u–8ƒW“qÿMI|�WGÏ0hù©Z5+ÆÞ§l*¢ pƒair 3÷zÝ } ÃBx×�ŠJ ê±ß£²ºóÛ¡jÞy Ń£‹ŠE"eSPL0¯Š }O;ï®�¾kã;ï_žþEØëø¢æ»³6ó"®)´º†sºr„›\#÷¢êU¥xtôƒ÷’Q‚ é í÷2~'åw�grã‰xô¢W]ÇÕpp*þc …¾ÿ)>VÕåô‡NçbQWŒ'ç�óZŸ]
https://arxiv.org/pdf/2608.02918
‘´ŽVÊ¥_ßrW"¹»B_,xæpærÈI2Î3œ“F0Í Ì0SrV°Ò+™\1Ë„´‚ ΄æmLB£‘ +Щ˜ô?†Q�šI(Ñi˜,ð�(˜,-âJ¦¸Æ –)‰$f^âb¦4Æ—’©Âà"Å”Õè¢�L"1UbPÃ@[Ä Ãs ÊÀ"iñã+Î4·š)”"l�I˜–ˆWŠieÐLƒÁ$?KùË‹ìòŠ©wá»üÃýØ¡þ{_mÝf‡T:ï}½[9Öy_¾ôkoëu½kÙ?ì즙ÿ6ÛUÛÝ9;›×;
https://arxiv.org/pdf/2006.02759
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