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Pterodactyl system advances automated translation evaluation using LLM-as-a-judge

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Researchers have developed Pterodactyl, a novel system for automated translation evaluation, designed for the WMT26 shared task. This system focuses on segment-level quality score prediction and identifying error-free segments, utilizing an LLM-as-a-judge approach. Pterodactyl is optimized for binary classification in translation triage and data curation, with its prompt engineering and model selection informed by receiver operating characteristic (ROC) analysis. AI

RANK_REASON This item is a research paper detailing a new system for automated translation evaluation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

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Pterodactyl system advances automated translation evaluation using LLM-as-a-judge

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This item is a research paper detailing a new system for automated translation evaluation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

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

    Pterodactyl: Pushing the Limits of Efficient Automated Translation Evaluation

    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…

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