disciplined
发表于 2025-3-30 12:00:39
Aditi Chauhan,Radhika Trikha,Kashmir Singh various pre-trained deep learning models in addition to augmenting the data to achieve the best performance. We observed that data augmentation increases the F1 score. After fine-tuning the QARiB model and augmenting the data we achieved the best F1 score of 0.49.
仇恨
发表于 2025-3-30 12:30:44
Aline Araujo Perinihe second and third approaches scale better in terms of complexity than the first approach. However, the original penalty parameters in approach 2 (i.e. those suggested in the literature) do not work well for bigger instances. Taking different parameters makes this approach much better in performanc
cumber
发表于 2025-3-30 18:23:07
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inconceivable
发表于 2025-3-31 00:15:02
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