Tag: diffusion transformers
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Understanding Grokking Delays in Arithmetic Transformers
Explore why transformers show delayed arithmetic generalization due to limited access to learned structures, with insights from encoder-decoder models.
Generative Modeling for Precise Molecular Structure Retrieval
Discover how generative modeling and Coulomb explosion imaging enable accurate real-time molecular structure retrieval with advanced neural networks.
Boost Text-to-Image Diffusion with Split-Text Conditioning
Improve text-to-image diffusion transformers using split-text conditioning for better semantic understanding and image generation accuracy.
How Multi-Token Prediction Boosts Transformer Planning
Discover how multi-token prediction enhances Transformer models' reasoning and planning abilities, outperforming traditional next-token methods.
Scaling Laws and Generalization in MoE Transformers
Explore key scaling laws and generalization bounds for Mixture-of-Experts Transformers to optimize model size, data, and compute trade-offs.