Accelerated Speculative Sampling Based on Tree Monte Carlo

Zhengmian Hu, Heng Huang
2/12/2026

No confident code implementation found for this paper. 5 possible matches can be shown below.

Semantic Scholar

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 5 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cocktail Universal Adversarial Attack on Deep Neural Networks

100% match2026

Durable Quantization Conditioned Misalignment Attack on Large Language Models

100% match2026

Learned Lossless Image Compression Based on Bit Plane Slicing

100% match2026

Deep Video Inverse Tone Mapping Based on Temporal Clues

100% match1 repo32026

Towards Understanding Parametric Generalized Category Discovery on Graphs

99% match1 repo12026

Learning Diffusion Bridges on Constrained Domains

99% match2026

Cite this paper

@article{hu2026accelerated,
  title  = {Accelerated Speculative Sampling Based on Tree Monte Carlo},
  author = {Zhengmian Hu and Heng Huang},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:1ef23ac36e05ca85e64938e5161b951fbd9d9cf7},
  journal = {ICML 2024 2024}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/1ef23ac36e05ca85e64938e5161b951fbd9d9cf7.svg)](https://codeofpaper.com/paper/1ef23ac36e05ca85e64938e5161b951fbd9d9cf7)

Discussion