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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
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

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/2608.02758
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https://arxiv.org/pdf/2608.03883
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https://arxiv.org/src/2006.01048
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https://arxiv.org/src/2205.11916v3
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https://arxiv.org/pdf/2407.02510
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https://arxiv.org/pdf/2005.14165
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https://arxiv.org/src/2303.12712
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https://arxiv.org/pdf/2402.03300
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https://arxiv.org/pdf/2608.03118
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https://arxiv.org/pdf/2006.04122
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https://arxiv.org/src/2006.02318
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https://arxiv.org/src/2205.11916v1
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https://arxiv.org/src/2006.02759
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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/pdf/2303.12712v5
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https://arxiv.org/pdf/2508.04671
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https://arxiv.org/pdf/2608.02615
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https://arxiv.org/pdf/2608.02943
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https://arxiv.org/src/2403.08299
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https://arxiv.org/pdf/2608.02942
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https://arxiv.org/pdf/2609.18842
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https://arxiv.org/pdf/2508.02685
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https://arxiv.org/pdf/2604.05327v4
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https://arxiv.org/pdf/2608.04341
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https://arxiv.org/pdf/2608.00458
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https://arxiv.org/pdf/2608.02386
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