NCA-GENM Exam Dumps | You have trained a multimodal model for visual question answering (VQA). During inference, the model

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Question 31/192

You have trained a multimodal model for visual question answering (VQA). During inference, the model often generates incorrect answers even though it seems to understand the question and the image content. Which of the following strategies could help improve the accuracy of the model's predictions? (Select all that apply)

A. Use beam search decoding to explore multiple possible answer sequences.

B. Apply data augmentation techniques to the training images, such as random cropping and rotations.

C. Increase the learning rate during fine-tuning.

D. Implement a loss function that penalizes incorrect answers more heavily.

E. Reduce the size of the training dataset.

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