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30 result(s) for “ip cram pay site effort com site www span com br site:arxiv.org” of 37 matched · 1099 ms

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Did you mean ip cam pay site effort com site www span com br site:arxiv.org?

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https://arxiv.org/pdf/2608.01785
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https://arxiv.org/pdf/2407.00125
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https://arxiv.org/src/2006.02759
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https://arxiv.org/src/2006.01048
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https://arxiv.org/pdf/2205.01882v5
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https://arxiv.org/pdf/2608.00785
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https://arxiv.org/pdf/2608.02976
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https://arxiv.org/pdf/2005.13905
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https://arxiv.org/src/2006.03720
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https://arxiv.org/src/2006.00064
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https://arxiv.org/src/2006.01128
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https://arxiv.org/pdf/2006.01128
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https://arxiv.org/src/2006.01331
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https://arxiv.org/pdf/2608.02666
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https://arxiv.org/src/2104.08691
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https://arxiv.org/src/2006.02085
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https://arxiv.org/html/2608.02975v1
com Abstract Large language models (LLMs) have demonstrated impressive performance in MQM-based translation quality (TQ) evaluation, and recent advances in large reasoning models (LRMs) promise even greater improvements

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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/2608.03994
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https://arxiv.org/pdf/2006.00342
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https://arxiv.org/html/2608.01366v2
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https://arxiv.org/pdf/2608.02854v1
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https://arxiv.org/pdf/2608.03898
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https://arxiv.org/html/2608.03577v1
This is precisely why relying solely on mechanical markers of quality, such as post-editing effort, fails to capture the full nuance of what translators do

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https://arxiv.org/pdf/2608.03118
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Probing Character-level Transformers for the Spanish L-shaped Morphome

https://arxiv.org/html/2608.03452v1
Report GitHub Issue × Title: Content selection saved. Describe the issue below: Description: Submit without GitHub Submit in GitHub arXiv is now an independent nonprofit! Learn more × Back to arXiv Why HTML? Report Issue Back to

Matching-Driven Deep Reinforcement Learning for Energy-Efficient

https://arxiv.org/html/2407.13076v1
Transmission Parameter Allocation in Multi-Gateway LoRa Networks I INTRODUCTION II RELATED WORK III SYSTEM MODEL III-A The Traffic Pattern of LoRa Networks III-B Capture Effect and Quasi-Orthogonality between SFs III-C Packet Delivery

Effort-Centric Fairness in Lending Decisions

https://arxiv.org/html/2607.28847v1
4 Positioning and Contribution 3 The Effort-Centric Fairness Framework 3

[2607.28847v1] Effort-Centric Fairness in Lending Decisions

https://arxiv.org/abs/2607.28847v1
We develop an effort-centric framework that measures an applicant's effort as the minimum weighted cost of feasible changes required to cross the approval boundary

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https://arxiv.org/src/2608.03883
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