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Interference, measured by task vector variance, predicts LLM merge collapse and guides repair, revealing that sign conflict statistics are anti-predictive.
CRPO reveals that leveraging English preference data can dramatically enhance LLM performance in low-resource languages, outperforming traditional methods.