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https://arxiv.org/pdf/2109.12196
$Ò!©8ÎC{gvfÉå‡dÝ¥/9ÎÎÎ÷ÌÒoo¾zõ!Ž/„•NäÅÍÝE¢B“^aB�ˆ‹›íÅ¿¹Zãà]±)ª•A×仲-¶«µ’Qðþ÷ òê¾ È§(ŽÞ½ÿ~òŠqߺzŸwôª®óæ—²º§g×¹½þÏÍ?^}H/²0Kd‚Ek)ÂT27Ä…L‰‹?�”̴倖‹–@Oe÷@WÞ²x»‡e¹èÖ{ZÔ‚‘í7××Ä6rÄúÍ¢¤¬6M‘·ŽPÍÏMP4é,¦ ó¶#г}ž3BÞÒóœní^ŒÝî
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/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/src/2211.10435
’•Ž•ÄCom„²î�Þ4 ߎ÷öÏ(M®W"_xºˆ¥î ;;Bu8çñ¶5'UNã�þ°�;hÿ˜ª&‘ú•H—0«Ô�’P/ÙÐ^�/3°ÇKÊO°¿`õ¨GÌC/ +¢Ó„î3j†õ‚�ˆGIt, ;]"}ö3äÜü·«ÑŠ_wË“sÇÝøú&™s]bæ%â¡á#õ-˜¾âIc:‚9Àë€ÿ�¨áPb¸(RGlŸÎÀ•»+Ì�âGÌGØKÆ~XA/(×…šd C‚bB×UCÜGäž8t¬úˆY[”|ôù�A]ƒì['ê�¤Q²[¯S±SôMÓÜöl`–ßÝ/›Jn'퉪ÍÛ|;žxV|ß¶;~0\„ˆÌh„[†ÈªéÎz¼ö˜°)”G°Õ˜º> ~âìû‘þX
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/2608.02122
) /Title (DEFT: Joint Task Placement and DVFS for Energy-Efficient Multi-GPU Runtimes) /Trapped /False /arXivID (https://arxiv
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/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/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
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
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
https://arxiv.org/list/cs.IR/recent
IR)
Tue, 4 Aug 2026 (showing first 34 of 45 entries )
[17] arXiv:2608
https://arxiv.org/list/cs.IR/new
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[1] arXiv:2608
https://arxiv.org/abs/2607.29380
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https://arxiv.org/abs/1411.2842
2842] Logical Limitations to Machine Ethics with Consequences to Lethal Autonomous Weapons
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https://arxiv.org/abs/2510.01395
01395] Sycophantic AI Decreases Prosocial Intentions and Promotes Dependence
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New submissions (showing 4 of 4 entries)
[1] arXiv:2608
https://arxiv.org/src/2006.03178
jVŠÐY ¸¦– ;kEºaÞ±G̺ɴöÁÆ;JÀØjbLÑš:‡�¹ðG ÖzfCy ²=€¥ÍžûP
https://arxiv.org/pdf/2608.02833
KZ—Ms^7°\µé’N�aÓæ×ÿÖõ§®ÐϹ£«}\®vh=§Ç« ¹ªÙÇfþCyÜTÿ‹ÚLäzŠ�ëÕ4o´^ÍÚzÎ×ûY~╟³@u}7زœêcƒñ|Õüç‡å|þ Jòç¯ÐZ¯+q5wWóô¸™¼+ {ÜÀçr:=æëaûi+túYŠqy Wp¸¤ôxÞŒêÕ|…+ÈZò¶r§þZ¯÷q=åWpñx™+È»ÞÖ™_Mv¨ÿ-ôtº õ†L¯ë´nÀ*_ÏØu§–ë:}½ú%v,]qɶ3ÜP©WJ_wCúÝo¾ûþWÿpy~½
https://arxiv.org/list/econ.GN/recent
RM)
Tue, 4 Aug 2026 (showing 16 of 16 entries )
[13] arXiv:2608
https://arxiv.org/pdf/2609.03103
ãÒÊøËÒòËUôñÜ=d �êdY…�²Ä ß*Ë–€Ñþ€gÔYÎ÷äÓʤ•%xÑÉ(×™§ì²œK MdWG{˦×ÅN–¥ Ûg)ã÷\÷#t·8–JIƒ)q ï*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
https://arxiv.org/pdf/2607.26327v3
úz¼cY›ÞF-k&ÏX¦KìMú™^jñqXªÚÔøéJÍ Á^Z¨0k�¤ílvÜT·¢™÷öJíÅÃÞ>ñKéýÕô6hz·2½™øÍù*Äå…��¥Pu�ß_wºÁ/'OËØuæÇÈØUvîÇÈØqpaRÆ×ü
https://arxiv.org/pdf/2407.02402
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/src/2002.02145
›SæùiæGnÆf‰ Y¥µA�9KüiŽÂ©qÖdXÎD¦„‰‘Eò£9ƒà«Yv¢âGMÌVz´Æ%ƒVfSR9KªdÚ�”H‘a¶š®O�€ˆ8Sy% !�(k‰7µÔİOÏJC¤ >À�dàkê$~€,®‰H8‰»ð¯PK@-�J&Ë�ò~ºpÇ=�áºCm¬ø>ŽEòÀuRÁà�Ÿð¯ù)ÌŸð§üþ-Æÿƒÿ'Î_ð—ü;þŠÿ�¿æoøÿžÿ�ÿÀä?ñÿR„Øsymrø”»Üã‚Ïøœ/¸Ï
https://arxiv.org/pdf/2608.02609
,”œ6ýúJtLÊ’ ËÎåÌá5&(Bñ1„‰@!�H"PŒ(g(A G(E,Nüà .‰H€?ŠŒ0E)‡;H€)\9X0\áCSŠp & _ ˜lø$àO"ø ±Ã �Ò)\Á$R†|R7Ql�¢ª€ÅpNîSD°lšFœá °(A,â‚àÓßÞ¿G“�~oÐäJýh ïö÷µ4ªl,°ööN7…‚œí݇›ÀÔdƒ�×F½ â'a8LÂÜê´ZCÜ1E“�ÚÔ °Þš/$ü޽:ÉxÔa½
https://arxiv.org/pdf/2508.02686
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