✨KLASS: KL-Guided Fast Inference in Masked Diffusion Models
📝 Summary:
KLASS accelerates masked diffusion model inference by using KL divergence to identify stable, high-confidence predictions. It unmasks multiple tokens per iteration, significantly speeding up generation and improving quality across text, image, and molecular tasks.
🔹 Publication Date: Published on Nov 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.05664
• PDF: https://arxiv.org/pdf/2511.05664
• Github: https://github.com/shkim0116/KLASS
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For more data science resources:
✓ https://t.iss.one/DataScienceT
#DiffusionModels #GenerativeAI #MachineLearning #AIResearch #ModelAcceleration
📝 Summary:
KLASS accelerates masked diffusion model inference by using KL divergence to identify stable, high-confidence predictions. It unmasks multiple tokens per iteration, significantly speeding up generation and improving quality across text, image, and molecular tasks.
🔹 Publication Date: Published on Nov 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.05664
• PDF: https://arxiv.org/pdf/2511.05664
• Github: https://github.com/shkim0116/KLASS
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#DiffusionModels #GenerativeAI #MachineLearning #AIResearch #ModelAcceleration
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