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✨Accelerating Speculative Decoding with Block Diffusion Draft Trees
📝 Summary:
DDTree enhances speculative decoding by constructing draft trees from block diffusion drafter distributions. It efficiently verifies multiple trajectories in parallel in a single target model pass, improving performance.
🔹 Publication Date: Published on Apr 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.12989
• PDF: https://arxiv.org/pdf/2604.12989
• Project Page: https://liranringel.github.io/ddtree
• Github: https://github.com/liranringel/ddtree
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For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#SpeculativeDecoding #BlockDiffusion #LLMAcceleration #DeepLearning #AIResearch
📝 Summary:
DDTree enhances speculative decoding by constructing draft trees from block diffusion drafter distributions. It efficiently verifies multiple trajectories in parallel in a single target model pass, improving performance.
🔹 Publication Date: Published on Apr 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.12989
• PDF: https://arxiv.org/pdf/2604.12989
• Project Page: https://liranringel.github.io/ddtree
• Github: https://github.com/liranringel/ddtree
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#SpeculativeDecoding #BlockDiffusion #LLMAcceleration #DeepLearning #AIResearch
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