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20232026
most citedImproving Semantic Understanding in Speech Language Models via Brain-tuning

4 citations · 4 across the 4 of their papers we have counts for

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cs.CV2023

The Right Losses for the Right Gains: Improving the Semantic Consistency of Deep Text-to-Image Generation with Distribution-Sensitive Losses

Mahmoud Ahmed, Omer Moussa, Ismail Shaheen +5

One of the major challenges in training deep neural networks for text-to-image generation is the significant linguistic discrepancy between ground-truth captions of each image in m…