Paraphrased training prompts induce correlated cross-task differences in forgetting and generalization during LLM fine-tuning; superior prompts can be identified via pre-learning task loss and used in a state-adaptive optimization method (SAPO) to improve robustness.
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Training Prompt Matters: State-Adaptive Optimization for Robust Fine-Tuning
Paraphrased training prompts induce correlated cross-task differences in forgetting and generalization during LLM fine-tuning; superior prompts can be identified via pre-learning task loss and used in a state-adaptive optimization method (SAPO) to improve robustness.