Abstract: In traditional binary classification tasks, learning algorithms conventionally distinguish positive and negative samples by leveraging fully labeled training data. However, in practical ...
Abstract: Though quite challenging, training a deep neural network for automatically solving Math Word Problems (MWPs) has increasingly attracted attention due to its significance in investigating how ...
In traditional math classrooms, students are often expected to report answers rather than explain their mathematical reasoning. Brief responses directed toward the teacher can limit opportunities for ...
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