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Huawei Translation Service Center, Xiamen University
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Standard metrics routinely misclassify valid real-time summarization as translation failure, but structuring LLM evaluation around deterministic MQM error penalties recovers human system rankings with up to 0.707 Kendall concordance.
Achieve efficient and positionally consistent simultaneous machine translation with LLMs, regardless of the positional encoding method, using a surprisingly simple explicit position allocation strategy.
