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dVoting: Fast Voting for dLLMs

arXiv

This repository is for our paper:

dVoting: Fast Voting for dLLMs
Sicheng Feng1, Zigeng Chen1, Xinyin Ma1, Gongfan Fang1, Xinchao Wang1,*
1National University of Singapore, Singapore
Corresponding author: xinchao@nus.edu.sg


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Updates

  • 2026-01-26: 🚀 We release code for dVoting!

Usage

1. Install dependencies

If you face any issues with the installation, please feel free to open an issue. We will try our best to help you.

pip install -r requirements.txt

2. Download datasets and models

You can download GSM8K & MATH500 & GPQA & ARC-C & MMLU / LLaDA-8B-Instruct & GSAI-ML/LLaDA-1.5 & Dream-org/Dream-v0-Instruct-7B for evaluation by directly running the scripts or from HuggingFace.

3. Evaluation

We follow simple-evals to evaluate our method on the benchmarks. We provide some scripts to facilitate the evaluation.

# baseline (majority voting or HEX)
bash scripts/run_baseline.sh # llada / llada1.5
bash scripts/run_baseline_dream.sh # dream

# dVoting
bash scripts/run_dvoting.sh # llada / llada1.5
bash scripts/run_dvoting_dream.sh # dream

Acknowledgement

We thank the authors of LLaDA, Dream, dKV-Cache, simple-evals for open-sourcing their codebases.

Citation

If you find this paper useful in your research, please consider citing our papers:

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[arXiv 2026] dVoting: Fast Voting for dLLMs

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