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      <title>Alignment Under Heat: GANPO Targets the Fragility That Benchmarks Miss</title>
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      <description>GANPO shows that representation-level regularization may matter more for preserving preference-tuned behavior under noisy decoding than for improving nominal alignment scores.</description>
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