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Erasing task-vector interference in merged language models is directionally dependent, revealing that magnitude alone fails to capture the true dynamics at play.
Task arithmetic reveals that not all fine-tuning combinations yield predictable model behaviors, challenging assumptions about parameter addition's reliability.
