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OBJECTION! Lawyer Agents Mitigate Guilty Bias in Legal Judgment Prediction

Jeong, Jaehoon et al.
arXiv (All) · Papers
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artificial-intelligencecomputation-and-language
Legal Judgment Prediction (LJP) models are typically trained on documents that describe facts from a prosecutorial perspective. Existing datasets further exhibit severe label imbalance toward guilty outcomes. Consequently, these models suffer from "Guilty Bias", blindly accepting the prosecution's n
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