NishiSearch

Web This site Trusted

30 result(s) for “okapi bm25 site www eyespy cy site en wikipedia org site developers mozilla org site:arxiv.org” of 238 matched · page 2 · 482 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: no result on this page carries a fetch time yet (indexed before the fetch epoch was stored beside the doc)

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ�YmsÛ8þ~¿‚Û»i#¾“3;;“¤×^Ú&m“¦/¹Ù

https://arxiv.org/pdf/2607.26188v1
J¢M¼ëØY[n¯ÿþ rHŠbÜ�ÉD6H€E V1É´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 ¬

%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

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ�YY�ܸ~ϯà£`fÄ›‹v,âõël^‚ÅB£fw

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

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ�XMo7 ½÷WèX¨W¢¾� @Ð ´i‹&99¬íi°@

https://arxiv.org/pdf/2608.03157
»öúÐ_¾ÍFCI»A�Î>QâãEQCJ+«LŠÊ)ƒòʧ‚ŠÞª¨²3*)c¬VYkøÿZ¯#cÊ„ì•!žœ*2š8EÖò¸Wä#ãAQeüNÊâñ¬,%RÄîÛ“QÖgžLLÃk^DÙ¬yQ§œŽ†SŽ˜å\àE™pˆŸÔ_êûéŸçýñpÿåÚú«ê—»RÔî·ý穵2N³ÄÖhj$õY¢‰ÑЬ��ʘ…Õ~?¨—/GÔ�ÞP÷î03,¤ða€Z‰P'Q ÔKÔ …R!^&jò^�ÈÏGé

%PDF-1.5 %¿÷¢þ 1 0 obj > >> endobj 2 0 obj > endobj 3 0 obj > stream

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

%PDF-1.5 %¿÷¢þ 1 0 obj > stream xœ�Y]oë6}ß_ÁÇf�uÄo ( ,¶om·E·}ZôA±•D÷Ú–¯

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¨¸

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ�ZÛrÜ6}߯ࣵ©X¸ƒ¨J¥V7ßdÉŠ$Çñnå�š¡%

https://arxiv.org/pdf/2608.00426
oBßvÛ‹5ªùñ›æí¡æÇ[V­z(ÛT¼íæCÞΊi¾%6ßö*[bí{ôkÆà×lÎñ¸aÛkÞ^¶ZyÛ uç7o{9¿Ø¦+ðxѾÿþð�ó—ÖÎÀ¦%Uh¯²o,‹ón¯Ù¶¼è&âL‹ü ÊÓˆ¼+‘Ëúå Hçý@Î4y‡&$^ÚóVÂeN×±6AÚÏÉkòeYJ6Ë ¥Ù�EÞDncx³Á�×�c¸æØË�ïã+[±

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ}”MoÛ0 †ïû¤èH � =Ð΃ë 8ð�(Œ�

https://arxiv.org/pdf/2608.04008
Òo@©,m• UÒ*í‡Û[h¿/Ãx€?pówX_ÃbÙïÇa·]ønöý:,P5ðí·þ%\ñyC@?g{hu.ˆ†ir…‡² è|OY,¾ Ä=;„åÔ]a¢s—gìèÒ~¾ÆíCWj\Š¥FÕ )%Í^ã›M†�ϧ;œ0çÌ|rŽÿfWñy+úÔîŠÎœ¾¢,vú„#¯6¹pòë�ýóæmåY)gn)+ùx*TEçf¦a)“ð8{W=áÖÖŽø$}•²J¯º¨«+뺰«*(½ ®ÂÐ\[Y; > endobj 14 0 obj >

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ�YÛrÜ6}߯À£ý›¸¨J¥J‘´Ž×’¬ÒXq¶¶¶RôÖ

https://arxiv.org/pdf/2608.00328
f±¹¹¿åÞ³f6SŠÀ'ß(@ˆÒz´y®ÃŸ°en÷©´7ûL0lBÐZ2½ 8žÓ[¦�8v7ÝæÝvÆ^µ�ÌéU’QQÓ(D‘¬z

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ�VM�Û6½÷Wð¸.`[CQ”Úè¡IZäãT

https://arxiv.org/pdf/2608.03233
T½+Ñj¬±qø8¸ ÇM\¯c¡¤~wD`ž”Œõ%::P ÏsC`à zßzæ¯TrÔêH`$Å{0‡ÝF{ÿìŒkëʆêÃÆ„Ð endstream endobj 411 0 obj > stream On the Diversity of Analogy Making in Large Language ModelsYuanhao ShenDaniel Xavier de SousaCaio César Sifuentes BarcelosHongyu GuoXiaodan Zhuhttp://arxiv

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ½\ÛräFr}÷WàQû`°îI¡ihÍÊ«ÝËR„´Z

https://arxiv.org/pdf/2608.03411
=ô°›³mSMÙTÌøë}²�€ÐC­nYYy9™•U@Q5¢Ñ�Ô¾1�5¶±�ó¡q�¾ñMˆ® �Â6±‘Rœ7R)´�h¤.i ]4ÒjøE¢kãC#Ð9Lly"ÁQ�C—pLã Žt")¢w8BHRIÁ¾.@ðwà§AïÁOƒÞƒŸ}RÊxð3A6ü,œJ*Z(Æ´?碩qPƃŸƒ?øy8M�‡ðü|”M¿ © P.6þàá¸ØD(& #Lç•V@)°°~Š ¦„Ÿ¢Æ

[2608.03883] DS@GT-ARC at eRisk 2026 Task 3: Sparse, Semantic, and LLM

https://arxiv.org/abs/2608.03883
Our systems combine sparse BM25 retrieval, evidence-aware rescoring for self-referential symptom reports, embedding-based reranking, query-prototype expansion, and LLM-based reranking

[2104.08663] BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of

https://arxiv.org/abs/2104.08663
Our results show BM25 is a robust baseline and re-ranking and late-interaction-based models on average achieve the best zero-shot performances, however, at high computational costs

[2608.03860] SciRet: A Compute-Aware Empirical Study of Retrieval and

https://arxiv.org/abs/2608.03860
The pipeline combines sentence-window chunking, BM25, BGE-M3 dense retrieval, reciprocal rank fusion, optional cross-encoder reranking, and grounded answer generation

[2607.29380] The Tragedy of the Cognitive Commons: How AI Could Disrupt

https://arxiv.org/abs/2607.29380
arXiv is committed to these values and only works with partners that adhere to them

[1411.2842] Logical Limitations to Machine Ethics with Consequences to

https://arxiv.org/abs/1411.2842
2842] Logical Limitations to Machine Ethics with Consequences to Lethal Autonomous Weapons Skip to main content arXiv is now an independent nonprofit

[2510.01395] Sycophantic AI Decreases Prosocial Intentions and Promotes

https://arxiv.org/abs/2510.01395
01395] Sycophantic AI Decreases Prosocial Intentions and Promotes Dependence Skip to main content arXiv is now an independent nonprofit

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ…WmOã8þ~¿Âá¤[b;NbiµRYX@ÀmÕr¢·§ÕÉ´¦Í’

https://arxiv.org/pdf/2609.03103
ãÒÊø­ËÒòËUôñÜ=d �êdY…�²Ä ß*Ë–€Ñþ€gÔYÎ÷äÓʤ•%xÑÉ(×™§­ì²œK MdWG{˦×ÅN–¥ Ûg)ã÷\÷#t·8–JIƒ )qï*ÿ)Ÿ_5'ÿG‰A“FßÃÅy£�bþ–ú�§ü½@~“Š–g“«fí®îO/î_¤Ñ¸Ç±l®^,S^1(n,ÈóŒ0jo�'qÉnEPU’³¸£, yÏåtq;›|))sUµ�2m辡²8’ÕÒô�´Á­‘QÒ�Ôì ¬VÊÖdU—ÄÝ—äCy,Oäë”NÊòwy%¯s6)o§)Ÿ”KJ ›åD~n

%PDF-1.4 %Óëéá 1 0 obj > endobj 3 0 obj > endobj 7 0 obj > endobj 8 0

https://arxiv.org/pdf/2407.00345
Õ+;Ÿ jýžÈ åmª (È£;%^B—üE»k¿OHxwåE¥ù µDg÷,]WQmPæ κŽ�æcy:0¾YdCoB`Y¿tò›Ë¨s›åHà ¾O$òâÞ#öÓê#ДÝ0Id¯)½ßo9¡·H•üLDz¯nî¹M¥�¾Ü—�‹" U‰€Zº‰iOMšg«F‚:©8©§ LZAڴ“ lX�N$C  ˆg¦

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ�WM�Û6½÷Wð˜ˆW’ú‚ÛŠ&MЦ§"

https://arxiv.org/pdf/2608.01564
ÕÓ2¦ž`’SÆÔLòÖ´öüšVÆ'�¦^@÷((ð9}€2Ÿºw‘N€×飯 Ÿo¤¡s îCPÏ% ‘àºt—öõÏÏ7¾íQ¡RÇHò>tx]�Ö”ûÒø| ˆ"}mEáJñhzÀ>úDâô­t¢»K;ì'­¼¶%‰6ÝG&zŽ4ØUboº}ñ«Ë%ô1n„I꾓þÒØåK^ÀÊt¨¡é ”9Tˆé1àXUÙ: endstream endobj 331 0 obj > stream Source-Bounded Exact Recovery over Docker's Logs APIKelvin Amoabahttp://arxiv

%PDF-1.7 %¿÷¢þ 1 0 obj > endobj 2 0 obj > endobj 3 0 obj > stream

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

Existence of Richter–Peleg representation for general preferences

https://arxiv.org/html/2508.08980v3
org perpetual non-exclusive license arXiv:2508

%PDF-1.5 %¿÷¢þ 1 0 obj > endobj 2 0 obj > endobj 3 0 obj > stream Risk

https://arxiv.org/pdf/2405.17770
-Neutral Generative NetworksZhonghao XianXing YanCheuk Hang LeungQi Wuhttp://creativecommons.org/licenses/by-nc-nd/4.0/q-fin.MFq-fin.PR endstream endobj 4 0 obj > endobj 5 0 obj > endobj 6 0 obj > endobj 7 0 obj > endobj 8 0 obj > endobj 9

AgentScope 1.0: A Developer-Centric Framework for Building Agentic

https://arxiv.org/html/2508.16279v1
org perpetual non-exclusive license arXiv:2508

‹'u�bìX X×·§ŠOÄ\*":"»,aPe `Å!’‘$3!¢­EÁ]Ä q/Z— ¸ÖE¥

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±"寭þ"N ävöaàqL4Ég„ñì ÇE}ÅÖ¶Ù§f{š­¨î‰oA0zâÃJ*

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ¥Zms7þ~¿BÍQÁ£w©*•*lH�ÁÄ®îÃx

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›�

%PDF-1.5 %¿÷¢þ 1 0 obj > >> endobj 2 0 obj > endobj 3 0 obj > stream

https://arxiv.org/pdf/2508.02758
4}¿ Õ·èå‰ôÊeBù™t$cyãRϨ˜íÁ‹5XöÓC ò´k®Ë[_{$y¸ÞÒ*aÙ

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ¥“MOƒ@†ïþй»À.$M­­1¶ÚZªÆÃZ6”¡

https://arxiv.org/pdf/2608.02942
%9 Zþ•—æÊÑ)°ŒÎ‚ä2‹$�qîH&¹´•$÷ÒêÚcY—€·müâÈ6aÔtíɃ¤ ¦( e‹6hDÌ:I'�ài>dY± ”¿F«îĈԫjQM_9æÑv

‹>„ê_ìýeX]ËÒ( G ¸‚ÛÄ ®www—‰»;! 8 ÜÝÝ%¸»kpw÷o’µö»eí÷œ}ïwÏ=Ï}

https://arxiv.org/src/2006.02318
Ї†µÂ] ºf\„¤÷QïnL#œ"²x•Ò,g³ ëM¤)õ2©@|‘sD}_¤àß&2Ej¬á\¹lë÷¦äÕ5GÈŠñW•�0Ëé¥oz¿ý¤Æƒe,ÈnˆÜ˜úcYÓ

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ•Z[sÔ:~ß_¡GXjˆuµ\uêTAXI $ÀÖyp‰áå$

https://arxiv.org/pdf/2608.01891
ÖðUž*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