Papers by Chuanjian Liu

1 papers
EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models (2025.naacl-long)

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Challenge: Speculative decoding is a key technique for enhancing the inference speed of Large Language Models.
Approach: They propose a method that adds padding tokens to ensure that the number of new tokens remains consistent across samples.
Outcome: The proposed method can handle the issue of inconsistent prediction tokens without adding padding tokens.

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