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16 result(s) for “ip can site effort com site ed this site:arxiv.org” of 46 matched · page 2 · 592 ms

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https://arxiv.org/pdf/2608.02666
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https://arxiv.org/pdf/2006.00342
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https://arxiv.org/src/2006.02085
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https://arxiv.org/pdf/2608.03233
T+jq8 M\c~wD`%::P sC` zzTrH`${0F{kʆƄ endstream endobj 411 0 obj > stream On the Diversity of Analogy Making in Large Language ModelsYuanhao ShenDaniel Xavier de SousaCaio César Sifuentes BarcelosHongyu GuoXiaodan Zhuhttp://arxiv

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https://arxiv.org/src/2608.04003
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Effort-Centric Fairness in Lending Decisions

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

Asking Questions the Right Way: A Multi-Agent Conversational System for

https://arxiv.org/html/2608.01366v2
org perpetual non-exclusive license arXiv:2608

[2607.28847v1] Effort-Centric Fairness in Lending Decisions

https://arxiv.org/abs/2607.28847v1
They can therefore overlook whether rejected applicants face unequal burdens in reaching future approval, a phenomenon we call masked inequality

Looking under the Wrong Lamppost: On the Limitations of Automated

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

Artificial Intelligence

https://arxiv.org/list/cs.AI/new
This gap restricts the agents' task performance in downstream tasks, such as entity-linking

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https://arxiv.org/pdf/2608.02943
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https://arxiv.org/pdf/2002.02145
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https://arxiv.org/pdf/2608.02854v1
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https://arxiv.org/pdf/2608.04008
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https://arxiv.org/pdf/2412.12213
Finance-Informed Neural Network: Learning the Geometry of Option PricingAmine M. AboussalahXuanze LiCheng ChiRaj Patelhttp://creativecommons.org/licenses/by/4.0/cs.LGq-fin.CPstat.ML endstream endobj 4 0 obj > endobj 5 0 obj > endobj 6 0 obj

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https://arxiv.org/pdf/2408.15021
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