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Did you mean okapi bm25 site terms com pp site does could good com site pay nid nl nil site:arxiv.org?

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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
6 Ingest Overhead: When Does Structured Memory Pay Off

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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

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https://arxiv.org/html/2608.03063v1
4 Two Production Deployments at WeChat Pay (RQ3) Deployment I: merchant risk screening

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https://arxiv.org/src/2608.03883
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https://arxiv.org/pdf/2102.13654
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https://arxiv.org/src/2006.01354
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https://arxiv.org/src/2006.02230
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https://arxiv.org/pdf/2005.14165
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https://arxiv.org/src/2006.02464
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https://arxiv.org/pdf/2402.03300
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https://arxiv.org/pdf/2608.03233
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https://arxiv.org/src/2608.03882
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https://arxiv.org/pdf/2608.02851v1
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https://arxiv.org/src/2211.01910v2
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https://arxiv.org/src/2006.01402
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https://arxiv.org/pdf/2508.16279
AgentScope 1.0: A Developer-Centric Framework for Building Agentic ApplicationsDawei GaoZitao LiYuexiang XieWeirui KuangLiuyi YaoBingchen QianZhijian MaYue CuiHaohao LuoShen LiLu YiYi YuShiqi HeZhiling LuoWenmeng ZhouZhicheng ZhangXuguang

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

Computation and Language

https://arxiv.org/list/cs.CL/new
We evaluate five open-weight readers with Vanilla context, BM25-RAG, Oracle retrieval, Memobase, and MemSearch as memory backends

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https://arxiv.org/pdf/2608.00785
*¥ä¸"ïÑ¥îå4‘XÚâ¢Ô]滉¼³` Yd)©$’Þéw©(P©¯\éw™÷»¼ó²’´Åe©»$ºS IG–R¯¸Ç¼´Å%‘:V‹ûéŸÍ¶g¿Á{*ÆŠ´ÑŠ$ðïðv˜búyxZü¹ç1ì—ËphNß"lŽÍ€ >´›ïþ=ÔÝðÈêó9œ¶ÍŸï^1ãÏõ1”>"½þñ©m‡S;„wün ¶´ ´ºÒ*áj§ò[¶çGx»Âð.‹Ÿ±¾¹½Ú›�7ûp•� Ïi¸†®

Artificial Intelligence

https://arxiv.org/list/cs.AI/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 Artificial Intelligence New submissions Cross-lists Replacements See recent

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https://arxiv.org/pdf/2109.12196
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https://arxiv.org/src/2205.11916v3
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https://arxiv.org/pdf/2608.01785
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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:")󨺠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

The Last Costly Signal: How Generative AI Collapses Competence Signaling

https://arxiv.org/html/2607.26327v3
4 AI disclosure, trust, and willingness to pay 2

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https://arxiv.org/src/2006.00441
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https://arxiv.org/pdf/2608.02615
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https://arxiv.org/pdf/2407.00132
P¨vÿûͬÌ*T�à´´§½@½³*_f%ÓÍÓ&Ýüðæýý›·ß QnʤÌd¶¹܈´Øä&K2%6÷ûÍ¿·ŸÎm3êýÍ�4é¶ùI�]ß=ÖCÝíjú>U§zà=üóÇÒ›L¥¹ùÏýßÞ|¸óëKH7‚g”I¡³ÍîøæßÿI7{¨øÛ&MTYlžm³ãF•Ûj÷…Þ†fwèêqÄueŶêöTî{þz®‡¦Æ•d:ZcØ„‡Ç³ŒVE3ë`æ]–Anüo3½Ü@r°)¶÷+¶/Ô¬n`¨ÁñkY†¤fy

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https://arxiv.org/pdf/2506.01844
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient RoboticsMustafa ShukorDana AubakirovaFrancesco CapuanoPepijn KooijmansSteven PalmaAdil ZouitineMichel AractingiCaroline PascalMartino RussiAndres MarafiotiSimon

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