Papers with Graph-structured Speculative Decoding

1 papers
Graph-Structured Speculative Decoding (2024.findings-acl)

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Challenge: Speculative decoding is a promising technique to accelerate the inference of Large Language Models.
Approach: They propose a method that uses a token graph to record multiple sequence hypotheses within a single draft stage.
Outcome: The proposed method significantly accelerates the inference of Large Language Models (LLMs) it allows the LLM to choose from and select the longest sequence that meets its standards.

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