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The paper proposes Prior-Guided Tuning (PGT) and Contrastive Prior Steering (CPS) to use natural language priors as auxiliary learning signals, improving low-resource LLM training performance on tasks like AmbiMath, Jigsaw, and MNLI/HANS.