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MARGIN: Runtime Confidence Calibration for Multi-Agent Foundation Model Coordination
MARGIN learns online per-model confidence corrections without retraining to improve multi-model selection, with simple online calibrators closing most calibration gaps under distribution shift, though selected-answer-only feedback degrades performance.
Published May 21, 2026 · 0 citations · ▲ 1 on Hugging Face
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AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 3/5