MARGIN: Runtime Confidence Calibration for Multi-Agent Foundation Model Coordination
MARGIN calibrates multi-model confidence at runtime and lifts answer-selection accuracy by up to 14 points.
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MARGIN calibrates multi-model confidence at runtime and lifts answer-selection accuracy by up to 14 points.
A 400-task BigCodeBench evaluation shows frontier LLMs widely over-edit code; a preservation instruction cuts excess edits and raises Pass@1 by 2.3 points.
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