JP-TL-Bench: Anchored Pairwise LLM Evaluation for Bidirectional Japanese-English Translation
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Abstract (arXiv)
We introduce JP-TL-Bench, a lightweight, open benchmark designed to guide the iterative development of Japanese-English translation systems. In this context, the challenge is often "which of these two good translations is better?" rather than "is this translation acceptable?" This distinction matters for Japanese-English, where subtle choices in politeness, implicature, ellipsis, and register strongly affect perceived naturalness. JP-TL-Bench uses a protocol built to make LLM judging both reliable and affordable: it evaluates a candidate model via reference-free, pairwise LLM comparisons against a fixed, versioned anchor set. Pairwise results are aggregated with a Bradley-Terry model and reported as win rates plus a normalized 0-10 "LT" score derived from a logistic transform of fitted log-strengths. Because each candidate is scored against the same frozen anchor set, scores are structurally stable given the same base set, judge, and aggregation code.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 12 of its 32 references that are in the map. First posted on arXiv 1 Jan 2026.
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12 of 32 references.
References · 12
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- 2024Can Automatic Metrics Assess High-Quality Translations?cited by 16
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- 2025BatchGEMBA: Token-Efficient Machine Translation Evaluation with Batched Prompting and Prompt Compressioncited by 3
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