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MMD) to implicitly enhance cross-modal distribution consistency
from the top result below

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

Artificial Intelligence

https://arxiv.org/list/cs.AI/new
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https://arxiv.org/pdf/2608.01651v1
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https://arxiv.org/pdf/2608.02615
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https://arxiv.org/pdf/2608.03421
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https://arxiv.org/pdf/2607.27063v1
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https://arxiv.org/pdf/2608.00458
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https://arxiv.org/pdf/2608.01891
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https://arxiv.org/pdf/1802.07228
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https://arxiv.org/pdf/2510.03215
7 % 1 0 obj > endobj 2 0 obj > endobj 3 0 obj > stream Cache-to-Cache: Direct Semantic Communication Between Large Language ModelsTianyu FuZihan MinHanling ZhangJichao YanGuohao DaiWanli OuyangYu Wanghttp://arxiv

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https://arxiv.org/pdf/2608.00328
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https://arxiv.org/pdf/2608.00426
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https://arxiv.org/pdf/2412.20138
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https://arxiv.org/pdf/2608.01785
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https://arxiv.org/pdf/2608.03883
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https://arxiv.org/pdf/2608.03118
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1 Introduction

https://arxiv.org/html/2501.13956v1
contain raw input data in the form of messages, text, or JSON

[2607.29380] The Tragedy of the Cognitive Commons: How AI Could Disrupt

https://arxiv.org/abs/2607.29380
Five factors determine occupational vulnerability, and governance arrangements may form across organizational, professional-association, and policy levels

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https://arxiv.org/pdf/2609.03103
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https://arxiv.org/pdf/2608.02609
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https://arxiv.org/pdf/2608.02942
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https://arxiv.org/pdf/2608.01564
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https://arxiv.org/pdf/2608.02943
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https://arxiv.org/pdf/2608.03215
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https://arxiv.org/pdf/2609.18842
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https://arxiv.org/pdf/2508.08980v3
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https://arxiv.org/pdf/2608.04341
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https://arxiv.org/pdf/2608.02625
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https://arxiv.org/pdf/2608.01657
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https://arxiv.org/pdf/2407.00345
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