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30 result(s) for “okapi bm25 site www eyespy cy site who unesco org site developers mozilla org site:arxiv.org” of 238 matched · page 2 · 915 ms
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Freshness: newest result fetched 24 d ago · median age of these results 24 d · 1 of 30 carry a fetch time
https://arxiv.org/pdf/2508.02758
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https://arxiv.org/pdf/2607.27063v1
¡¿¾çÈòF’e‡a'Ùœëw¾s$K†‘Œp"„æ”H¨"9aZE¸ D!1DfœÐ ,¡”äLʈâ’PN”� ZRB%1Ò@,0†HøÉ4ØÂ‡¢>˜�eàÇ0üÖœ0ˆ*$ä…@œÀ‘Ú0¡y΃x ŒÄÓü5„à ‡ÕŒð \ÁŽSpášpt=‡Ð âs¦ðò ‚pøši(¾Rü.\‚.RQ"@¥´À¯T0ø hÁ�Ž 9!ñ I„>D�P%#4‘ø@œ‰Ìe‚ CÒP4"9Ð’•F
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/2608.02942
%9 Zþ•—æÊÑ)°ŒÎ‚ä2‹$�qîH&¹´•$÷ÒêÚcY—€·müâÈ6aÔtíɃ¤¦( e‹6hDÌ:I'�ài>dY± ”¿F«îĈԫjQM_9æÑv
https://arxiv.org/pdf/2608.04341
) /Title (Continuous Improvement and Parallel Autonomous Exploration: An LLM-Agent Framework for Searching Large Solution Spaces) /Trapped /False /arXivID (https://arxiv
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/2608.01891
Öð Už*IÁC�2‹žh ?TRBaˆ1AXO OqˆÎÐDfž ˆËáG�1Õ8¥>Æ’ˆ~ ´ ðŒá?!¨àðA„ ”@5Ƨ""¶DL$°B)ŸH€Û„ ¤Fà(P,A%¢$à†ƒs0U ä%%pŠã@¿ˆNL,%ØiÇ€>ÆxPÑ‘Ž‰¢ÀzÎÑ"QDq¢L¸Ò1à Dk R× àQ1¸åCOúPŽáù�“v±cçñ«'ø¥‘E0µÒ™©t©ò(Ö6Å”:^Û0ñ8NlŽ)vÑ
https://arxiv.org/pdf/2508.02685
5 %¿÷¢þ 1 0 obj > endobj 2 0 obj > endobj 3 0 obj > stream Benchmarking Classical and Quantum Models for DeFi Yield Prediction on Curve FinanceChi-Sheng ChenAidan Hung-Wen Tsaihttp://arxiv
https://arxiv.org/pdf/2608.02694
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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$D ࢌ™³åÆ §ÙŽAæ,¹ŽA&K%
https://arxiv.org/pdf/2608.01657
#“®D9q~ýÞ‚2 ‘ôzF#Q÷ãà܃$#áDj"U”H¨&Š0#‰&\PbˆšX"Nh‘ŒPJx(#.)'ZB1~$±B€©áWKBÁCÑn! 쬀_�£A¾0„ª€? ~‘Ž˜Ê!.ÀfRlü ÅBœ…P.“ÔÀLp8ƒÅ ‡OÁÁj T ._`á�Â�0ç Èr—P»(ˆ ’Á” ¸”V—Z�Zpi!^Hò¡4Éऒ�†H…ª‚peƒ�%Hl-ƒ`¢
https://arxiv.org/pdf/2608.02625
²åZrºùûÎP”—¤$·ÀÖž™9sxm`LL2S „`šAaX΄ʎ€b†É‚3ž1eðƒ3-䳜Æ3É1/ðSá#2¸Æ?Œä9ã2Æ\þƒ%²œ!R‚ 4�ø˜k$ F"(™àŒ)$k”“á ÊÊ9)d ơ4R.2ŠâgR¢:L*ƒíH�áÿ?�Á$LæÄÓØ’˜ŒIƒA5Šÿðæ ۼÔèËoló«}Ð÷ü©WÕþ4ÈÁVÏǦ*Û³=u¯[”:¹ šæ.[uusÜ/tý¹
https://arxiv.org/pdf/2607.28577v1
) /Title (Train Often, Deploy Selectively: Forward-Gated Model Replacement in Crypto Markets) /Trapped /False /arXivID (https://arxiv
https://arxiv.org/pdf/2608.02386
¡dsàß×Þ5 ËîD½0‰Çc¿÷lÏl°@@6@>xHl `‘D°$öJüÙ€MŽWhH\ -ñ¦Db;:">H²ï‹‚× èÞ�€Á{ÃA òŽ—(½;>†Ùeµªê-ü€Iý«Ü|ØÚ˜$%$›q�zúe)nL©tÊ90îöƒDI#¢`¯Ÿ‡#Ë( ´Ò™2"ŠCÈ8�ôP‘q`Õ\®“„ˆsñQ0ŽˆâðuQä°+r”X5—kž¨Âf8î}2ª:–ÝåD.ÙC4qnDzƒ&r˜ŒË â*
https://arxiv.org/pdf/2608.00458
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https://arxiv.org/pdf/2608.03340
öjÔZ0¼¼høÍáÌw;3�ÍB ã”p-²ÅÁ�ûÆY¡SÀÑ cyß“Ø:kØœÁ�Z‹>œå»aÒµóÆþá‹/ÄÕ7â_”Ó|%®þþ�rl%Áì&IMØì×kñƒøòËcsì±yT2Aë�²êô‘uR2C¹>Ðú Å[-ƒÿU(èò̓¶2Ã$
https://arxiv.org/pdf/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/2608.02764
~ €'Ñ£ö—³ê° `Á‰çÄ"± m�Óšc3á8{�ck'NÕ: µ‡œãLº¤q]œ\—�s@Î1uœñÑfìq®œ#ô ´™òØ£1²¯Ø> c¥%câðxA{5fv®MKDoußtßõÉP}¿²›tΣ)÷•8sjtíÙ1ñŸ7´µôæ›×&—-âü·âùòlõ×eë±¾}óÏö�í¶�’_±'ºæK¶W×(&H‹—›¤|�üÐŒ§„2šË¿P"§±”ÍFAHŠ3Qˆ„cy
https://arxiv.org/pdf/2607.28410v1
©’ðÐÿ~N·68^Õ°œûõ¹ï�„ÀpÁ@€` bH0„$"HP’~€ ¯Èb¤`Ft¡3¦“rƾ\^BÐÓ•û‚Áíâa¹ºHÍzôRšÔ”¿MµþÚ+vÙö›"Ë÷[H$!ÜA0Ì˪î?阤%øfªM™?×EIõ¸õšêÆ ƒàþð«~y6¤ô�tË}Ny֤͑'»åYåYýT�ŠN¦««îíb> endobj 15 0 obj > stream xœí\Ys9’~Ÿ_�Çݘ°Q(œ11±’
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
9Y||:m7�dDC¶÷vù‰òx·þÖm�‚Ý~xz``2¾|¡ÐOPÿóë'ñæ®»»“ù·¯Û·gFÚ»z¿»íÄåŸÇî9TLj}þ—ü»'“k¾ÝÝs:ÿod¢E endstream endobj 41 0 obj /Creator (arXiv GenPDF \(tex2pdf:8def8d8\)) /DOI (https://doi
https://arxiv.org/pdf/2407.00225
-scale, Independent and Comprehensive study of the power of LLMs for test case generationWendkûuni C. OuédraogoKader KaboréYinghua LiHaoye TianAnil KoyuncuJacques KleinDavid LoTegawendé F. Bissyandéhttp://creativecommons.org/licenses
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/2607.27188v1
) /Title (Inverse Learning of Latent Risk-Neutral Densities from Irregular Option Quotes) /Trapped /False /arXivID (https://arxiv
https://arxiv.org/pdf/2608.02122
) /Title (DEFT: Joint Task Placement and DVFS for Energy-Efficient Multi-GPU Runtimes) /Trapped /False /arXivID (https://arxiv
https://arxiv.org/pdf/2608.03063
æ0ù0)ûÂá��ÂãqA€·/nÖG7“K¾Ã~¦áP–6$4-a=CYå‘6,P-ÄuÛ•Ä*óÚOQ k¸3W‘÷D“7«UZÆ0úüÒjLâ¬OÈ£óZ³ì:TdÕ›²ÞO\þÓœ|޶O‚“É)Fiû$ê«V˜�§•B‘öE§LÈ-&âißàoèû¼¡ïó†¾Ïú>oèû|@àóAÈ
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/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