Papers by Henry Mason

1 papers
Speculative Streaming: Efficient and Scalable Speculative Decoding with Multi-Stream Attention (2025.emnlp-main)

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Challenge: Speculative decoding is a prominent technique for accelerating LLM inference by leveraging an auxiliary draft model, but its effectiveness is limited by the autoregressive nature of draft generation.
Approach: They propose a method that integrates speculative draft generation directly within the target model using multi-stream attention.
Outcome: The proposed method improves acceptance but also latency and speculation latency, limiting overall speedup.

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