Papers with FroM

1 papers
FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging (2025.findings-emnlp)

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Challenge: a new adaptive merging method is proposed to improve fine-tuning performance . traditional methods often encounter task interference when merging full fine-uning models .
Approach: They propose an adaptive merging method that directly measures model parameters using the Frobenius norm .
Outcome: The proposed method outperforms baseline methods in various fine-tuning scenarios.

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