Abstract Legal Judgment Prediction (LJP) is a multi-task multi-label problem in the civil law
system, involving the prediction of law articles, charges, and terms of penalty based on fact
descriptions. However, most existing research approaches LJP as a single-label scenario,
neglecting the correlations between multiple labels and failing to consider cross-task
consistency constraints in a multi-label scenario. Moreover, although previous multi-task
studies have proposed expert models and coarse-grained topology construction for inter …