Papers by Zihui Cheng

2 papers
SPIDE: Serial and Parallel Intertwined Speculative Decoding (2026.findings-acl)

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Challenge: Speculative decoding (SD) is a training-free SD framework that orchestrates dynamic alternation combining serial dynamic drafting with parallel draft verification.
Approach: They propose a serial and parallel intertwined speculative DEcoding framework that orchestrates dynamic alternation combining serial dynamic drafting and parallel draft verification.
Outcome: The proposed framework accelerates inference while reducing the LLM usage costs.
MLDebugging: Towards Benchmarking Code Debugging Across Multi-Library Scenarios (2025.findings-acl)

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Challenge: MLDebugging is a benchmark designed to assess debugging challenges within multi-library Python code.
Approach: They propose to introduce a benchmark to assess debugging challenges within multi-library Python code using 126 Python libraries.
Outcome: The proposed benchmark covers 126 Python libraries and a wide range of multi-library code issues.

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