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Zhenghan Yu

2 accepted papers

2026

Learning To Draft: Adaptive Speculative Decoding with Reinforcement Learning

ICLR 2026poster

Speculative decoding accelerates large language model (LLM) inference by using a small draft model to generate candidate tokens for a larger target model to verify. The efficacy of this technique hinges on the trade-off between the time spent on drafting candidates and verifying them. However, curre…

Cited by 0SourcecodeScholar
2025

A Dual-Perspective NLG Meta-Evaluation Framework with Automatic Benchmark and Better Interpretability

ACL 2025long

In NLG meta-evaluation, evaluation metrics are typically assessed based on their consistency with humans. However, we identify some limitations in traditional NLG meta-evaluation approaches, such as issues in handling human ratings and ambiguous selections of correlation measures, which undermine th…