Papers with digit corruption

1 papers
PORT: Preference Optimization on Reasoning Traces (2025.naacl-long)

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Challenge: Preference optimization methods have been successfully applied to improve the alignment of large language models with human values.
Approach: They propose to use preference optimization methods to generate rejected answers using weak LLM prompting and digit corruption to improve the mathematical reasoning abilities of language models.
Outcome: The proposed method leads to increased accuracy on the GSM8K and AQuA-RAT benchmarks without annotations.

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