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The query asks the model to recall the topic of an earlier conversation about Tesla; the gold answer is anchored in one specific session about Pooja’s dig site
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https://arxiv.org/html/2608.02613v1
2 pp, exceeding MemSearch reader scaling (+10

Approximating Choice Data by Discrete Choice Models

https://arxiv.org/html/2205.01882v5
2 Details of the DVD Dataset M Additional Empirical Application: Fishing-site Choice M

Efficient Multilingual Neural Machine Translation via Corpus-Driven

https://arxiv.org/html/2608.03480v1
org perpetual non-exclusive license arXiv:2608

Optimizing Age of Information in Vehicular Edge Computing with Federated

https://arxiv.org/html/2407.02342v1
org) Wen Chen is with the Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China(e-mail: wenchen@sjtu

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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/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/2608.03157
ÄÌ4ºû4àC0ÎøMÈ8$SÙH‹‘Rp¬Æk4>¢eñ8ŠQ�{Ñ›Pp/ªIŠö1˜œñšMõŠc2ââ…^ø¼Q#ïT#ÑáNrFRÂK“àclƒ ©‘w'�0I»ƒŸ}¢”ˆŸJüœãþUÞÁñ™h+`d@«WÙul“`¯r0=ÍÑhJl“ŒfÇ6'è‘ÏÅhÞ©&8bAŸƒ|¢ˆ šk³JˆžwÔ„ÔîØF�¹À´ÿù’LÅ·J6Q‰¶�‘†,'ø²¯ÎÄDÓUÁ {P½‰™_GObiw‚I®µ‰& zàk‚ýÑ�¾¥HÂF)Òª0^SÑogRÁ€¨“�ƒœ7™C¦¸ÈÁÑ6¿Ø8â¯W— lÀŸ2N *cåOÕ䂨8S

Inverse Learning of Latent Risk-Neutral Densities from Irregular Option

https://arxiv.org/html/2607.27188v1
org perpetual non-exclusive license arXiv:2607

Automatic Patient-Specific Microwave Ablation Planning Accelerated by a

https://arxiv.org/html/2608.03086v1
org perpetual non-exclusive license arXiv:2608

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https://arxiv.org/html/2608.00458v1
org perpetual non-exclusive license arXiv:2608

Towards Real-world Environment-aware Zero-shot Text-to-speech Synthesis

https://arxiv.org/html/2608.03011v1
org perpetual non-exclusive license arXiv:2608

Can Large Language Models Execute Parent Orders?

https://arxiv.org/html/2607.28410v1
org perpetual non-exclusive license arXiv:2607

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https://arxiv.org/html/2608.03154v1
org perpetual non-exclusive license arXiv:2608

Testing the effects of an unobservable factor: Do marriage prospects

https://arxiv.org/html/2410.19947v2
org perpetual non-exclusive license arXiv:2410

Matching-Driven Deep Reinforcement Learning for Energy-Efficient

https://arxiv.org/html/2407.13076v1
Index Terms: LoRa, multigateway, system energy efficiency, matching-based, multiagent deep reinforcement learning

Asking Questions the Right Way: A Multi-Agent Conversational System for

https://arxiv.org/html/2608.01366v2
org perpetual non-exclusive license arXiv:2608

Finance-Informed Neural Network: Learning the Geometry of Option Pricing

https://arxiv.org/html/2412.12213v2
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https://arxiv.org/pdf/2608.02758
FåMØb1¤‹S9ó) ´Ž`U,™KPàbç¨J 6JR%Bÿ\2y8ŠÆàöÎÐ8ÈçhRÆcüÑM0¼d1ýœ×ð{S2ÍOoiC=6ì–ý@Ûá5Ü£†~|è ×,îRô³Ž¶XøWZ¾£YÜÃQq½¹»@c¢Î]Lì—8- g9 Œå5Nû9>%8*Õ{Ø„s4ó€ß9ÇéafÎõ¦ð§Tò´eNº”ÝŸ¾ùF;WÿéÇ˨ŸÔì—ý›� ó*:@Üê°\ª_Õ·ß~¾«uIcˆéÊgyІ¤Œî ]}È:côŸÐÿµ‰�à xyRWcuzœõ㮾@å1e}ÒÓR'ÿq×jøÁŸ¯ûNï6óí›»ù féæwÝvq5_íþ¢fjöÃúç5

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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 ¬

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https://arxiv.org/pdf/2608.04008
Ù6¨¦ãþ ¬>Ÿ–£þÇÈŒ6=RBmL”õ·LXƇÄM¤_³|¼èÉöVõN‡eÑï]Vƒñ¨Ð[ÁRóªÒ{‚ñ5X68$T§å÷ž…­`=�ªŒì™"ÿ03[‚Rô/u‰ Cƒ*ÌJ¬³sI)u–8ƒW“qÿMI|�WGÏ0hù©Z5+ÆÞ§l*¢ pƒair 3÷zÝ } ÃBx×�ŠJ ê±ß£²ºóÛ¡jÞy Ń£‹ŠE"eSPL0¯Š}O;ï®�¾kã;ï_žþEØëø¢æ»³6ó"®)´º†sºr„›\#÷¢êU¥xtôƒ÷’Q‚ é í÷2~'åw�grã‰xô¢W]ÇÕpp*þc …¾ÿ)>VÕåô‡NçbQWŒ'ç�óZŸ]

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https://arxiv.org/pdf/2608.03883
org/pdfua/ns/id/ pdfuaid PDF/UA ID Schema internal Part of PDF/UA standard part Integer PRISM metadata http://prismstandard

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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/2608.03411
” ý6appÂl‘Мe~Ž-yè�2GiìÂ�‘‡&pf3ÒK·¤—jGÒKeòÁ ,õ"&:w|Ò¶öÝP"´rf�r\úÂxÝqF¢Ë=/Ü–ºƒÛn¦Èâ™îÆ*>Ó]zJX-éw_îö0}óó0°(B²5àû×±&›ì2 �

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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

1 Introduction

https://arxiv.org/html/2501.13956v1
com Abstract We introduce Zep, a novel memory layer service for AI agents that outperforms the current state-of-the-art system, MemGPT, in the Deep Memory Retrieval (DMR) benchmark

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https://arxiv.org/html/2608.03048v1
com/JetAstra/PI-Mem Introduction The ability to reason over long contexts is increasingly important for large language models (LLMs), supporting applications such as long-document question answering (Gemini Team 2025; Yang et al

Sphere Retraction Normalizations

https://arxiv.org/html/2608.02668v1
Sphere pp-Angular Retraction Normalization

Coordinated Primary Frequency Regulation and Grid-Forming Control for

https://arxiv.org/html/2608.02813v1
Wind Turbine Generators Report GitHub Issue × Title: Content selection saved. Describe the issue below: Description: Submit without GitHub Submit in GitHub arXiv is now an independent nonprofit! Learn more × Back to arXiv Why HTML?

Consensus Measures for Unstructured Biomedical Text Annotations

https://arxiv.org/html/2608.03529v1
(2024), where a human expert and an automated system might describe information in different terms

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https://arxiv.org/html/2609.02852v1
Report GitHub Issue Description: arXiv is now an independent nonprofit