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Huishi Qiu

2 accepted papers

2025

CORAL: Learning Consistent Representations across Multi-step Training with Lighter Speculative Drafter

ACL 2025long

Speculative decoding is a powerful technique that accelerates Large Language Model (LLM) inference by leveraging a lightweight speculative draft model. However, existing designs suffers in performance due to misalignment between training and inference. Recent methods have tried to solve this issue b…

2025

Traversal Verification for Speculative Tree Decoding

NeurIPS 2025poster

Speculative decoding is a promising approach for accelerating large language models. The primary idea is to use a lightweight draft model to speculate the output of the target model for multiple subsequent timesteps, and then verify them in parallel to determine whether the drafted tokens should be…

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