LoGU: Long-form Generation with Uncertainty Expressions
Paper
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2410.14309
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Published
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1
We employ the original Mistral-7B-Instruct-v0.2 model, which we further fine-tune using carefully selected samples from our compiled dataset (available at https://github.com/rhyang2021/LoGU). This refined model is subsequently utilized within our LoGU task, specifically targeting the challenges of uncertainty-suppression and uncertainty-misalignment. For additional details, please refer to our Github and Paper.