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Boxuan Lyu

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#natural language process... Preprint Sep 2026

Quit While You're Ahead: Quit for Efficient Candidate Generation in Machine Translation Reranking

This work proposes Quit (Quantifying Uncertainty for Incremental Termination), a novel early-stopping strategy for the entire generation--reranking pipeline that incrementally generates and reranks candidates, stopping when the best reranking score stabilizes.

Guang Chen, Boxuan Lyu, Hidetaka Kamigaito et al. · 0 citations

Is Human Annotation Necessary? Iterative MBR Distillation for Error Span Detection in Machine Translation

A novel self-evolution framework based on Minimum Bayes Risk (MBR) decoding is proposed, named Iterative MBR Distillation for ESD, which eliminates the reliance on human annotations by leveraging an off-the-shelf LLM to generate pseudo-labels.

Boxuan Lyu, Haiyue Song, Zhi Qu · 0 citations

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