Introduction to Blockpilot Adaptive Block Size Selection For Diffusion Speculative Decoding
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S30 | DFlash: Block Diffusion for Flash Speculative Decoding
BlockPilot: Instance-Adaptive Policy Learning for Diffusion-based Speculative Decoding
Speculative Decoding Explained: A Small Model Guesses, a Big Model Checks
Faster LLMs: Accelerate Inference with Speculative Decoding
DominoTree: Conditional Draft-Tree Scoring in Speculative Decoding
How DFlash Uses Block Diffusion to Make LLM Inference 6x Faster
GitHub - z-lab/dflash: DFlash: Block Diffusion for Flash Speculative Decoding
DFlash: Block Diffusion for Flash Speculative Decoding
speculative decoding explained draft then verify
ML Performance Reading Group 23: DFlash: Block Diffusion for Flash Speculative Decoding
DFlash: Block Diffusion for Flash Speculative Decoding (Feb 2026)
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Last Updated: October 1, 2026
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Summary
This paper focuses on accelerating LLM inference with In this AI Research Roundup episode, Alex discusses the paper: ' In today's session, Jian Chen presents DFlash, a 🔹 This paper covers a diffusion-based speculative decoding method to accelerate LLM inference. 🔹 Instead of using a fixed ... A large language model writes its reply one token at a time, and every token costs one full run of the model, a run that reads all of ... Ready to become a certified watsonx AI Assistant Engineer? Register now and use code IBMTechYT20 for 20% off of your exam ... Conditional draft-tree scoring is how DominoTree speeds up github.com/z-lab/dflash DFlash: A small model guesses several tokens ahead. The big model checks them all in one pass over its weights — and the maths ... Paper: arxiv.org/abs/2602.06036 Presenter: Shayan Shamsi.
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