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https://arxiv.org/pdf/2109.12196
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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

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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

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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/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|;žx V|ß¶;~0\„ˆÌh„[†ÈªéÎz¼ö˜°)”G°Õ˜º> ~âìû‘þX

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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/2608.03063
æ0ù0)ûÂá��ÂãqA€·/nÖG7“K¾Ã~¦áP–6$4-a=CYå‘6,P-ÄuÛ•Ä*óÚOQk¸3W‘÷D“7«UZÆ0úüÒjLâ¬OÈ£óZ³ì:TdÕ›²ÞO\þÓœ|޶O‚“É)Fiû$ê«V ˜�§•B‘öE§LÈ-&âißàoèû¼¡ïó†¾Ïú>oèû|@àóAÈ

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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/2508.11152
com three Proceedings of ACM Conference (Conference'17) book 1 1 9 9 Tianjiao ZhaoJingrao LyuStokes JonesHarrison GarberStefano PasqualiDhagash Mehtahttp://arxiv

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https://arxiv.org/pdf/2608.01785
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%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

[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

Information Retrieval

https://arxiv.org/list/cs.IR/recent
IR) Tue, 4 Aug 2026 (showing first 34 of 45 entries ) [17] arXiv:2608

Information Retrieval

https://arxiv.org/list/cs.IR/new
Skip to main content System maintenance August 4th and 5th Learn more × Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Information Retrieval New submissions Cross-lists Replacements See recent

Computers and Society Aug 2026

https://arxiv.org/list/cs.CY/current
251-256 Showing up to 50 entries per page: fewer | more | all [1] arXiv:2608

[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

Social and Information Networks

https://arxiv.org/list/cs.SI/new
per page: fewer | more | all New submissions (showing 4 of 4 entries) [1] arXiv:2608

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https://arxiv.org/src/2006.03178
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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

General Economics

https://arxiv.org/list/econ.GN/recent
RM) Tue, 4 Aug 2026 (showing 16 of 16 entries ) [13] arXiv:2608

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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

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https://arxiv.org/pdf/2607.26327v3
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https://arxiv.org/pdf/2407.02402
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‹¸H¤Ì6ÁÝÖÿô�§ÂÍ|}^œÔ=aõч?–-œè’�âÆ‰Ès%’Çdr(F!x› –ˆÈ …GhÄa$®

https://arxiv.org/src/2002.02145
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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›ÀÔ dƒ�×F½ â'a8LÂÜê´ZCÜ1E“�ÚÔ °Þš/$ü޽:ÉxÔa½

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https://arxiv.org/pdf/2508.02686
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