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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

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/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/2608.03883
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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/pdf/2005.14165
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https://arxiv.org/pdf/2402.03300
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https://arxiv.org/pdf/2608.03118
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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/src/2006.01048
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https://arxiv.org/pdf/2303.12712v5
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arXiv is now an independent nonprofit! Learn more ×

https://arxiv.org/html/2609.03159v1
Description: arXiv is now an independent nonprofit

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https://arxiv.org/pdf/2608.02935
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https://arxiv.org/pdf/2607.26405v1
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https://arxiv.org/src/2608.03966
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https://arxiv.org/src/2006.00508
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https://arxiv.org/src/2407.17789
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https://arxiv.org/src/2006.01128
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https://arxiv.org/pdf/2006.02833
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https://arxiv.org/pdf/2006.03178
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https://arxiv.org/pdf/2607.27070v1
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https://arxiv.org/src/2006.02924
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https://arxiv.org/pdf/2608.00426
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https://arxiv.org/src/2608.03882
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