[HTML][HTML] A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation
Class imbalance (CI) in classification problems arises when the number of observations
belonging to one class is lower than the other. Ensemble learning combines multiple models …
belonging to one class is lower than the other. Ensemble learning combines multiple models …
Evaluating large language models: A comprehensive survey
TemplateGEC: Improving grammatical error correction with detection template
Grammatical error correction (GEC) can be divided into sequence-to-edit (Seq2Edit) and
sequence-to-sequence (Seq2Seq) frameworks, both of which have their pros and cons. To …
sequence-to-sequence (Seq2Seq) frameworks, both of which have their pros and cons. To …
Eva2. 0: Investigating open-domain chinese dialogue systems with large-scale pre-training
Large-scale pre-training has shown remarkable performance in building open-domain
dialogue systems. However, previous works mainly focus on showing and evaluating the …
dialogue systems. However, previous works mainly focus on showing and evaluating the …