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30 result(s) for “okapi bm25 site www eyespy cy site who unesco org site dspace can cy site:arxiv.org” of 201 matched · 819 ms
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Freshness: newest result fetched 27 d ago · median age of these results 27 d · 1 of 30 carry a fetch time
CY)
We show that knowledge distillation (KD) in small instruction-tuned language models has asymmetric effects on bias, and that measuring them correctly requires accounting for where refusal mass moves and what the parser can legitimately score
from the top result below
https://arxiv.org/list/cs.CL/new
LG)
Half a million cuneiform clay tablets survive in museums worldwide, yet modern users can neither read nor write in the world's oldest writing system, leaving a 4,000-year cultural barrier that existing NLP tools have only partially addressed
https://arxiv.org/list/cs.AI/new
We demonstrate that it can self-assemble functional circuits from scratch and rapidly re-route logic around permanent, previously unseen hardware faults
https://arxiv.org/pdf/2608.04341
04341v1) >> endobj 49 0 obj > stream xœÅZ[oã¸~ï¯àc»@Þ ,èîv¶Zt°³@§-ú ØLâ�m¥²‚ Déð–v&¶MR5ŒG³Ü‰ïDÈ/ð,27 KŒ B cYÂ@6šBBq Î\ŒÎ±
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/2607.28577v1
) /Title (Train Often, Deploy Selectively: Forward-Gated Model Replacement in Crypto Markets) /Trapped /False /arXivID (https://arxiv
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/2608.01651v1
(1ûï-Lc4OO2 Ïû`� g$ÎAA¤ ý$™3ÈAÅÙfñ•©zx†¼ðïÜCÁœ ANx�øÚ4Æ�ov¶> endobj 10 0 obj > stream xœ[YSÛʺ}¿¿B�ÉÝ•-©'IU§NU€0$@HBrë>[ml˱äòëÏúZ’én @U©Øîq}ë»%Âм�y ÿs/Œð!„2çÆ½sk¶‰—jaQ�Œ,dëL¸¼KÓÞy0²�mïÒU‚´ø G²í]ºüJ“_Άâ¶ñK—l©FæÚ¡
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/2608.03063
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/2608.02758
@Û¬MX–T‰Þ`óëû)iI}¸=Žç g†o)™‘Œp” 9þ‘‚I" ͸"ŠPZ¤ ”AJBE& B¨”ð…Zä@a„eœ‡0–ç„æ„劂0)áSV(ÀáÖÂ)®+ gH €³’0Jx cðYf„qÂ;{ÿžì~¶7ëzòy:ZgÞ�Œi{c®,câ%Л*Ó�`ÕV÷NW¶wöøL¾�Ý/úf¶W2ø}(^tu0}e¦fY–î]ÝÜÝ3Co¤+´¯iYж³/Ú™g’Ç=nær²ßôÉ\p‹Ö˜EBp
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/2608.03883
3/ pdfx PDF/X Schema external URL to an online version or preprint AuthoritativeDomain Text http://www
https://arxiv.org/pdf/2608.01785
+ÖÑÖ1‡}ª$jšdKmo€Át‹u°ê«bUQÍHF8‘†B™!’0Ή"ÌX¢ —š …rb‰d¡‘ZJ‰ ø‰¦ðÁ‰ÖœPAŒ¡„Jb¹%¸ž;î — HIF(�¬£2fa@â>�$€Î@‘d`˜#!ð•*M }šÃ'è3ÐAŸ1 Ç‚* søÊX ,Ò‚K Êfœ€3œjxð§xD¸†ý¸""Sˆàèà¦ðl‰0–‘H*øN¤Ì€È #•3Q™áD¢8¸,$BBŠ(ÎM”6°nˆ²Š0‚cDfDs
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/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/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/2608.02613v1
We evaluate five open-weight readers with Vanilla context, BM25-RAG, Oracle retrieval, Memobase, and MemSearch as memory backends
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.CY/current
251-256
Showing up to 50 entries per page: fewer | more | all
[1] arXiv:2608
https://arxiv.org/pdf/2608.02943
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https://arxiv.org/src/2205.11916v1
*H«âF]p\xçNHXô}ÿ¶ï½ïë|š„;÷œ{Îïì7À×Ó.œÁ#DD¸Œá Á�¦dQÖ £ñW=xœœØoxÔ¾m9N޶vö¶ðé ûlœíl50Î_&A�œfp†iÈ(ŠikßçÞÿ?}Â")‰e= ~ 35ŒGHBFJÚa4OFJšœMh‡E‚þŠ!þ”°ob]¤L|,ÇÚ–'Ž£ ÁcÐ+ØÑÀX.Âeñ±"å¯þ"N ävöaàqL4Ég„ñì ÇE}ÅÖ¶Ù§f{š¨î‰oA0zâÃJ*
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/src/2006.01048
¸»»;Óœó~ç¼ß]wî�µæÎ³×Î"ìnº«žzžŸô®*]{CyG]+];+ãÿ�¾è€Ó_
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/src/2403.08299
‚¨ˆ( >>ñµ+V¤~"(þ¡,( dùß;y4¥! �‹›Óï›Ìœ¹ó»ç>ιç>‹Íi²X1”à(+‡3Ãs&ƈ¡V3fâ(Šä,{R%Uðœã�CòxD‡Úð[íÞð3m¢ÏY/hæo�s¿ÂÌœ‰ ŠLò„ÅDQŒÉl±˜x+m±X�b’|JôGcú�24Ô ÃÒúŸ Ò§ÿfɧŠ>Q‡¨(®€ÇS…TÈnpUB n €�,åÕ(Á‹¨¢¢Æž… •'Õ¿-á°y)àSÀBûäxí¢ ´$I^Å€pÑ{ø
https://arxiv.org/pdf/2608.02942
%9 Zþ•—æÊÑ)°ŒÎ‚ä2‹$�qîH&¹´•$÷ÒêÚcY—€·müâÈ6aÔtíɃ¤¦( e‹6hDÌ:I'�ài>dY± ”¿F«îĈԫjQM_9æÑv
https://arxiv.org/src/2006.02318
Ї†µÂ] ºf\„¤÷QïnL#œ"²x•Ò,g³ ëM¤)õ2©@|‘sD}_¤àß&2Ej¬á\¹lë÷¦äÕ 5GÈŠñW•�0Ëé¥oz¿ý¤Æƒe,ÈnˆÜ˜úcYÓ
https://arxiv.org/pdf/2104.00446
vò‰A5PC’±a™Û—}¥/>é’Ê-_q'œRƒõÁU•�ÓúÏ®rõ΋ñ`,–Y;.Y%·>.YQ0d>͉�[�ò¤ö†–jpSèÓ‹a§¿y1ÁR×gtÀrTpt÷C+jÕZšý9ÝDòLû Sqé¥R3Míl@¡dаP Š}Сە†Û©§d5°ˆ4Ÿ9 Š:� 6½� … Ö¼ M�ßtT0Ç®¦ØÛ•ܦZ”5ÇA eRfX‘¯˜ÁäLÙ}ÅþícƒVÅ©j½Œ3ŠÆÛ©‚ÅêÛà˜cÖꢛó
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/2508.02685
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