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TokenTiming: A Dynamic Alignment Method for Universal Speculative Decoding Model Pairs

arXiv — cs.CL•Wednesday, October 29, 2025 at 4:00:00 AM
PositiveArtificial Intelligence
A new method called TokenTiming has been introduced to enhance the efficiency of large language models (LLMs) in generative AI. This dynamic alignment technique addresses a key limitation of speculative decoding, which requires draft and target models to share the same vocabulary. By overcoming this constraint, TokenTiming opens up new possibilities for utilizing a wider range of draft models without the need to train new ones from scratch. This advancement is significant as it could lead to faster and more efficient AI applications, making generative AI more accessible and effective.
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