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1 result for “OrderedLogitNN”
Ordinality in Discrete-level Question Difficulty Estimation: Introducing Balanced DRPS and OrderedLogitNNcs.LG

This study introduces balanced DRPS and OrderedLogitNN for better QDE of discrete-level questions.

problem Lack of ordinal regression methods and fair evaluation metrics for discrete-level QDE.
method Introduces balanced DRPS and OrderedLogitNN, fine-tunes BERT on RACE++ and ARC datasets.
result OrderedLogitNN outperforms other models on complex QDE tasks.
Question Difficulty EstimationOrdinal RegressionDiscrete-LevelBalanced DRPSOrderedLogitNN
2025-07-01abs ↗pdf ↗