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30 result(s) for “okapi bm25 site www eyespy cy site who unesco org site www equistyle cy site:arxiv.org” of 235 matched · page 3 · 809 ms

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Freshness: newest result fetched 26 d ago · median age of these results 26 d · 1 of 30 carry a fetch time

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https://arxiv.org/pdf/2205.01882v5
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https://arxiv.org/pdf/2607.28577v1
) /Title (Train Often, Deploy Selectively: Forward-Gated Model Replacement in Crypto Markets) /Trapped /False /arXivID (https://arxiv

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https://arxiv.org/pdf/2608.02817
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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±’

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https://arxiv.org/pdf/2608.00785
3i‚Ocª›Ñ{&à=÷«šÜ6*Þ·Ä Ñ““ xÀÈŸb”Qi‚´ÏØ«ILÇÊŸ”cY&e™&¡

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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

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https://arxiv.org/pdf/2608.03437
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https://arxiv.org/pdf/2607.27188v1
) /Title (Inverse Learning of Latent Risk-Neutral Densities from Irregular Option Quotes) /Trapped /False /arXivID (https://arxiv

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https://arxiv.org/pdf/2608.02122
) /Title (DEFT: Joint Task Placement and DVFS for Energy-Efficient Multi-GPU Runtimes) /Trapped /False /arXivID (https://arxiv

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https://arxiv.org/pdf/2608.03063
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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

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https://arxiv.org/pdf/2607.26188v1
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https://arxiv.org/pdf/2608.00426
®gH™Ã‘¥|ýv“ A*Þ*—GÓènœ>Ýh€à°„$чO®ˆJ:#Ú$]rødࢠKeÂѵL!"p 8 H&+‡)ê¥ð ,€)KAY+„+\Jžt 0Ÿà‚èD  `I„ÔÀwøGÀHm4=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

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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

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https://arxiv.org/pdf/2412.20138
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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;›×;

%PDF-1.7 %¿÷¢þ 1 0 obj > >> endobj 2 0 obj Surveys and overviews.

https://arxiv.org/pdf/2407.00125
) /Title (A Survey on Failure Analysis and Fault Injection in AI Systems) /Trapped /False /arXivID (https://arxiv

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https://arxiv.org/pdf/2608.01785
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https://arxiv.org/pdf/2508.11152
5 application/pdf AlphaAgents: Large Language Model based Multi-Agents for Equity Portfolio Constructions arXiv 2025-08-18T00:20:17Z Text sample-authordraft

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https://arxiv.org/pdf/2608.03411
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https://arxiv.org/pdf/2608.00328
æ §HŽcùë·Æ/³Nž8ƒî>Ý}ºÑà…‘‚p"K"U”HÂhIaZ’’pɉ&‚Qbˆ(KB "\(Q‚ʈ2†PÐ)`Q­$¡’®‹�hƒ«Œ8üu(¬€k W@á%%Œ�}ÉãPrÂ0šR¦¥9 jaCˆ®€gèÃÏ@9@±RªR@F Òð‡sE¸€Ÿ ô$á ×aIBÞüqÈR€Žy@S*É OÁ q!ˆªEe ¬”DH" ê+¢   ÈQ ”…&Šƒ_YI Æ�tJ.”QÀ

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

https://arxiv.org/src/2006.02833
=·nUí½«Ns"ljBûéÿáA¬¬Ìß�ãÿ|ÿû;=# =+#+pžžŽ�•é>óÿÓŽ} G{=;|üOvÖÖÿWëþ?]ÿÿÑ! Äß@ÏÞ^ÏÊÐN�Úá§��¡ñÿÍÏø˜……éÇŸ��žžŽåøÓ±²Ð3~àÏÈÌÀð Ÿîÿf?þ×ñÿçø“È SÓÓ0Á�lïLÌÀÐãÓá[ë›ÁpqÑJY ê9}ä` £g§g gý�'#%=#9­€�‘žƒ©µÕÿ¹Š… ß¿WÉÚY:Ù}7U4rq¨Àg¦a ¡Ã

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https://arxiv.org/pdf/2506.01844
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient RoboticsMustafa ShukorDana AubakirovaFrancesco CapuanoPepijn KooijmansSteven PalmaAdil ZouitineMichel AractingiCaroline PascalMartino RussiAndres MarafiotiSimon

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https://arxiv.org/pdf/2607.27070v1
Early-warning signals are event-heterogeneous across seven crypto-perpetual liquidation cascadesRamon Marc Garcia Seumahttp://arxiv

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https://arxiv.org/pdf/2508.16279
AgentScope 1.0: A Developer-Centric Framework for Building Agentic ApplicationsDawei GaoZitao LiYuexiang XieWeirui KuangLiuyi YaoBingchen QianZhijian MaYue CuiHaohao LuoShen LiLu YiYi YuShiqi HeZhiling LuoWenmeng ZhouZhicheng ZhangXuguang

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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¨¸

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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\

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https://arxiv.org/pdf/2608.03157
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https://arxiv.org/pdf/2507.17609
כּžñÖöìfóëKêÅ#ÉòÜXÜÎRE>¤(Ršc©x%M%*ªT%+FY¥*¦EUWÜÐJWB˜ÊT’Ô%•¢ð‹VªV0ÖBW”Wš‘ŠŠJצ¢²2’�,`fðr>ó(p°šV8�sø $!XÅ`Š$ð›Ão¿Q�šWL‚¿A”æ¤b Oø òŒºQ0 ‡(W•i@s%ào`ÚT\€¥+j%+d%ŠVY%ÐáGH «’²€Š–¢>Âb ¢ †W~„" Õ°®� (KIŽו”ø5` vt€

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https://arxiv.org/pdf/2608.03788
k­‘&R�íͯO=6)ÙÝò!€á=«^‹Å"5JtB „Ra…ŒA8¡\^hÓ  QDát²>x!¥ˆÚ‘+aœ£Iš\ åDÑDO¸VÒä‚U‘”yaM 9rßy-t¤x�]rÞu–”Iá%SÎHÎ’=c„ó乿¢§q'¼${Æ ¯Í£Zkɨðž„-¢GdI¥� «Dè(XV‹ )XD=(ÒOS‚Át4îé'­ …,XÒk£ zŽÈÑOãþðÝwâù†Ö‡Vògñü§áë(òïïúã°)pùó/Ûq7