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30 result(s) for “okapi bm25 site www eyespy cy site www be com site github com site:arxiv.org” of 236 matched · 576 ms
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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
from the top result below
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/list/cs.AI/new
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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
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/2407.16741v3
com/All-Hands-AI/OpenHands
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https://arxiv.org/list/cs.CL/new
Recent studies have therefore examined how to automatically derive optimization problems from natural-language descriptions, but existing benchmarks focus on settings where objectives and constraints can be written explicitly as mathematical expressions
https://arxiv.org/pdf/2006.02318
3/ pdfx PDF/X Schema external URL to an online version or preprint AuthoritativeDomain Text http://www
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/pdf/2407.00345
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https://arxiv.org/html/2508.16279v1
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arXiv:2508
https://arxiv.org/pdf/2608.00151
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https://arxiv.org/pdf/2608.01366
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https://arxiv.org/pdf/2109.12196
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https://arxiv.org/pdf/2104.00446
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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
https://arxiv.org/src/2205.11916v3
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https://arxiv.org/pdf/2608.02764
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https://arxiv.org/src/2006.01048
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https://arxiv.org/pdf/2607.28577v1
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https://arxiv.org/pdf/2407.02510
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https://arxiv.org/pdf/2608.01651v1
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https://arxiv.org/pdf/2608.02758
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https://arxiv.org/pdf/2607.27188v1
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https://arxiv.org/pdf/2608.03063
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https://arxiv.org/pdf/2608.02122
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https://arxiv.org/src/2303.12712
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https://arxiv.org/pdf/2608.01785
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https://arxiv.org/pdf/2005.14165
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https://arxiv.org/pdf/2508.11152
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