Deep Learning
New computational algorithms make it possible to build neural networks with many input nodes and many layers, and distinguish "deep learning" of these networks from previous work on artificial neural nets.
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Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment
Neural Information Processing Systems
Existing image-text modality alignment in Vision Language Models (VLMs) treats each text token equally in an autoregressive manner.
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the performance of various LLMs on code synthesis. However, these test-cases can be limited in both quantity and quality for fully assessing the functional
Neural Information Processing Systems
Program synthesis has been long studied with recent approaches focused on directly using the power of Large Language Models (LLMs) to generate code.
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