SFTMix applies mixup regularization to confidence-stratified interpolated examples during LLM instruction tuning to achieve consistent gains across models and datasets.
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SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe
SFTMix applies mixup regularization to confidence-stratified interpolated examples during LLM instruction tuning to achieve consistent gains across models and datasets.