D3Tree: Learning to Prune Block-Diffusion Draft Trees for Efficient Verification
- DOI
- 10.48550/arxiv.2611.11371
- Published
- 2026
- Container
- Not recorded
- Publisher
- arXiv
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.48550/arxiv.2611.11371,
title = {D3Tree: Learning to Prune Block-Diffusion Draft Trees for Efficient Verification},
author = {Nie, Hong and Gao, Zhangchi and Yu, Jun and Wang, Bo and Sun, Jianqing and Liu, Shengping},
year = {2026},
doi = {10.48550/arxiv.2611.11371},
url = {https://doi.org/10.48550/arxiv.2611.11371}
}RIS
TY - JOUR TI - D3Tree: Learning to Prune Block-Diffusion Draft Trees for Efficient Verification AU - Nie, Hong AU - Gao, Zhangchi AU - Yu, Jun AU - Wang, Bo AU - Sun, Jianqing AU - Liu, Shengping PY - 2026 DO - 10.48550/arxiv.2611.11371 UR - https://doi.org/10.48550/arxiv.2611.11371 ER -
APA
Hong, N., Zhangchi, G., Jun, Y., Bo, W., Jianqing, S., & Shengping, L. (2026). D3Tree: Learning to Prune Block-Diffusion Draft Trees for Efficient Verification. https://doi.org/10.48550/arxiv.2611.11371
Source records
- datacite · retrieved 2026-11-10T14:04:59.177Z