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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
We evaluate five open-weight readers with Vanilla context, BM25-RAG, Oracle retrieval, Memobase, and MemSearch as memory backends
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
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
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
https://arxiv.org/html/2407.16741v3
com/All-Hands-AI/OpenHands
Slack http://bit
https://arxiv.org/html/2608.01366v2
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arXiv:2608
https://arxiv.org/html/2608.03063v1
8 pp in a production fraud detector serving billion-scale transaction traffic
https://arxiv.org/list/cs.AI/new
Biological systems, in contrast, exhibit adaptive plasticity, maintaining function through dynamic re-organisation around damage
https://arxiv.org/html/2608.00458v1
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arXiv:2608
https://arxiv.org/html/2608.03011v1
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arXiv:2608
https://arxiv.org/html/2609.02852v1
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https://arxiv.org/list/cs.IR/new
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Large language models (LLMs) have emerged as promising listwise rerankers for recommender systems, but their reliability under equivalent candidate permutations remains unclear
https://arxiv.org/html/2608.01085v1
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arXiv:2608
https://arxiv.org/html/2608.03099v1
In other systems, it directly conditions the action policy (Zitkovich et al
https://arxiv.org/html/2608.02918v1
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https://arxiv.org/html/2608.03655v1
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https://arxiv.org/html/2407.00575v3
In large-scale systems, obtaining performance guarantees is challenging even with cooperative players since they do not know the reward functions of their peers
https://arxiv.org/html/2607.28847v1
The European Union’s Artificial Intelligence Act classifies creditworthiness assessment as a high-risk application, requiring that automated systems undergo rigorous fairness evaluation before deployment and throughout their operational lifecycle (European Parliament, 2024)
https://arxiv.org/html/2205.01882v5
2 Details of the DVD Dataset
M Additional Empirical Application: Fishing-site Choice
M
https://arxiv.org/html/2407.02342v1
com/qiongwu86/Optimizing-AoI-in-VEC-with-Federated-Graph-Neural-Network-Multi-Agent-Reinforcement-Learnin
https://arxiv.org/html/2608.03154v1
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https://arxiv.org/html/2407.10811v1
3Ziyue Li and Wolfgang Ketter are with the Information Systems Department at the University of Cologne, Germany
https://arxiv.org/html/2608.03480v1
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https://arxiv.org/html/2412.12213v2
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https://arxiv.org/pdf/2608.03883
3/ pdfx PDF/X Schema external URL to an online version or preprint AuthoritativeDomain Text http://www
https://arxiv.org/html/2608.02813v1
Recently, grid-forming (GFM) control has emerged as a promising solution for future power systems with high renewable penetration
https://arxiv.org/html/2608.00648v1
MA] 01 Aug 2026
MDGAM-Based Cooperative Task Scheduling for Communication-Constrained Distributed Multi-Agent Systems
Licheng Wang    Mingtao Huang    Yuan Shen Thanks: The authors are with the Department of Electronic Engineering, and Beijing National Research Center for Information Science and Technology
https://arxiv.org/html/2607.27188v1
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https://arxiv.org/html/2407.13076v1
Zhang are with the School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen 518107, China, and with the Guangdong Provincial Key Laboratory of Fire Science and Intelligent Emergency Technology, Guangzhou 510006, China (E-mails: gubo@mail
https://arxiv.org/html/2608.02668v1
com/hazdzz/deep_connection \ncudata[Correspondence]Jie Zhang (),
Correspondence: Cheng-Fang Su ()
“Geometry is not true, it is advantageous