Exam NCA-GENM Topic 1 Question 243 Discussion

Actual exam question for NVIDIA's NCA-GENM exam
Question #: 243
Topic #: 1

You are training a multimodal model with text and audio inputs. You notice that the audio modality dominates the training process, and the text modality is not contributing significantly to the final performance. Which of the following strategies can you use to address this modality imbalance? (Select TWO)

A. Increase the learning rate for the text encoder. B. Decrease the batch size for the audio data C. Apply a modality-specific weighting scheme to the loss function, giving more weight to the text loss D. Remove the audio modality altogether to force the model to rely on text E. Increase the size of the audio dataset.

Suggested Answer: A,C Vote an answer

Increasing the learning rate for the text encoder can help the text modality learn more effectively Applying a modality-specific weighting scheme to the loss function allows you to explicitly control the contribution of each modality to the overall loss, giving more weight to the underperforming text modality. Decreasing the batch size for audio data might have a small impact, but it's not a primary strategy for addressing modality imbalance. Removing the audio modality is not a desirable solution, as it eliminates valuable information. Increasing the size of audio dataset will even more dominate_ So, the most effective strategies are increasing the learning rate for text and weighting the loss function.

by Ansel at Sep 09, 2025, 07:14 PM

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