@inproceedings{
ahn2023spectr,
title={SpecTr++: Improved transport plans for speculative decoding of large language models},
author={Kwangjun Ahn and Ahmad Beirami and Ziteng Sun and Ananda Theertha Suresh},
booktitle={NeurIPS 2023 Workshop Optimal Transport and Machine Learning},
year={2023},
url={https://openreview.net/forum?id=o8ZGNn9LpN}
}
We revisit the question of accelerating decoding of language models based on speculative draft samples, inspired by Y. Leviathan et al. (ICML 2023). Following Z. Sun et al. (NeurIPS 2023) which makes connections between speculative decoding and optimal transport theory, we design improved transport plans for this problem with no sacrifice in computational complexity in terms of the alphabet size.
SpecTr++: Improved transport plans for speculative decoding of large language models
Kwangjun Ahn Ahmad Beirami Ziteng Sun Ananda Theertha Suresh