An automatic debiasing framework rewrites instruction-tuning data to make identified biased features statistically independent of answers, improving zero-shot transfer on NLI and paraphrase tasks.
Towards stable natural language understanding via information entropy guided debiasing
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Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models
An automatic debiasing framework rewrites instruction-tuning data to make identified biased features statistically independent of answers, improving zero-shot transfer on NLI and paraphrase tasks.