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https://arxiv.org/pdf/2608.00028
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https://arxiv.org/pdf/2102.13654
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https://arxiv.org/src/2006.02924
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https://arxiv.org/pdf/2608.01785
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https://arxiv.org/src/2211.01910v2
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https://arxiv.org/pdf/2607.27070v1
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https://arxiv.org/pdf/2508.07408
-Aware Sentiment Factors from LLM-Augmented Financial Tweets: A Transparent Framework for Interpretable Quant TradingYueyi WangQiyao Weihttp://creativecommons.org/licenses/by/4.0/q-fin.STcs.CLcs.LG endstream endobj 4 0 obj > endobj 5 0 obj

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https://arxiv.org/src/2402.03300
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https://arxiv.org/pdf/2608.02851v1
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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

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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

Report GitHub Issue

https://arxiv.org/html/2608.02613v1
6 Ingest Overhead: When Does Structured Memory Pay Off

1 Introduction

https://arxiv.org/html/2501.13956v1
Consequently, additional context is required to provide out-of-domain (OOD) knowledge and reduce hallucinations

Report GitHub Issue

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

Computation and Language

https://arxiv.org/list/cs.CL/new
Many practically important problems are naturally treated as black-box optimization (BBO) problems, in which only objective values are observable, and the functional form is unavailable

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https://arxiv.org/pdf/2104.00446
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https://arxiv.org/src/2403.08299
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https://arxiv.org/pdf/2210.00105
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https://arxiv.org/pdf/2407.02402
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Artificial Intelligence

https://arxiv.org/list/cs.AI/new
, the meaning of a customized field) originates from users' domain knowledge and is rarely documented publicly

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https://arxiv.org/pdf/2006.01402
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https://arxiv.org/src/2006.02085
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https://arxiv.org/pdf/2608.03421
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https://arxiv.org/src/2104.08691
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https://arxiv.org/src/2006.02155
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https://arxiv.org/pdf/2211.01910
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https://arxiv.org/src/2211.10435v1
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https://arxiv.org/src/2212.07841
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https://arxiv.org/src/2006.01331
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https://arxiv.org/src/2405.20232
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