arXiv Machine Learning By Chencheng Zhu

Orientation, not magnitude: the causal structure of task-vector interference in merged language models

Read the original on arXiv Machine Learning →

arXiv:2608. 11797v1 Announce Type: new Abstract: Model merging by task arithmetic works until it doesn't, and the field diagnoses why with magnitudes: layerwise representation bias, deviations from cross-task linearity, parameter overlap.

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arXiv Machine Learning
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