Papers by Jinzhang Peng

1 papers
Amphista: Bi-directional Multi-head Decoding for Accelerating LLM Inference (2025.naacl-long)

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Challenge: Existing methods such as Medusa lack adequate information interaction between different drafting heads.
Approach: They propose an enhanced speculative decoding framework that builds upon Medusa and integrates a drafting block capable of parallel inference.
Outcome: The proposed framework outperforms Medusa in terms of head accuracy and latency.

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