A two-stage fine-tuning method that runs LoRA before ReFT achieves 85.17% on BoolQ with 3+3 epochs, higher than 20-epoch LoRA or ReFT alone.
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HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning
A two-stage fine-tuning method that runs LoRA before ReFT achieves 85.17% on BoolQ with 3+3 epochs, higher than 20-epoch LoRA or ReFT alone.