Papers by Young D. Kwon

1 papers
Speculative Decoding with a Speculative Vocabulary (2026.findings-acl)

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Challenge: Speculative decoding methods use a draft model to accelerate inference while yielding identical outputs.
Approach: They propose a method that selects a vocabulary subset per decoding step and uses a draft model to generate a series of tokens that are verified in parallel.
Outcome: The proposed method achieves higher acceptance length than state-of-the-art speculative decoding method, EAGLE-3.

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