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Data-oriented Dynamic Fine-tuning Parameter Selection Strategy for FISH Mask based Efficient Fine-tuning
However, there are few methods that consider the impact of data samples on parameter selecting, such as Fish Mask based method.
Predicting the Difficulty and Response Time of Multiple Choice Questions Using Transfer Learning
The results indicate that, for our sample, transfer learning can improve the prediction of item difficulty when response time is used as an auxiliary task but not the other way around.
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