Papers by Qianchao Zhu

1 papers
HeteroSpec: Leveraging Contextual Heterogeneity for Efficient Speculative Decoding (2026.acl-long)

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Challenge: Autoregressive decoding limits the inference throughput of Large Language Models due to its sequential dependency.
Approach: They propose a framework that allocates verification effort in proportion to candidate uncertainty.
Outcome: Speculative decoding achieves an average speedup over state-of-the-art methods . a small subset of high-confidence predictions accounts for most successful verifications .

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