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English(EN) Pterodactyl: Pushing the Limits of Efficient Automated Translation Evaluation

Pterodactyl系统利用LLM作为评判者,推进自动化翻译评估

研究人员开发了Pterodactyl,一个用于自动化翻译评估的新系统,专为WMT26共享任务设计。该系统利用LLM作为评判者(LLM-as-a-judge)的方法,专注于段落级质量评分预测和识别无错误段落。Pterodactyl针对翻译分类和数据策展中的二元分类进行了优化,其提示工程和模型选择均以接收者操作特征(ROC)分析为指导。 AI

排序理由 此条目是一篇研究论文,详细介绍了用于自动化翻译评估的新系统。[lever_c_research降级:ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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Pterodactyl系统利用LLM作为评判者,推进自动化翻译评估

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此条目是一篇研究论文,详细介绍了用于自动化翻译评估的新系统。[lever_c_research降级:ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Evelyn Y. Garland, Carola F. Berger ·

    Pterodactyl:突破高效自动化翻译评估的极限

    arXiv:2611.14480v1 Announce Type: new Abstract: In this paper, we present 1020 Group's submission to the WMT26 shared task on automated quality evaluation. Our system, Pterodactyl, was engineered specifically for subtasks 2 and 3, that is, segment-level quality score prediction a…