mlsanityData to 14 Oct 2026

JP-TL-Bench: Anchored Pairwise LLM Evaluation for Bidirectional Japanese-English Translation

arXiv 2601.00223 ↗First posted 1 Jan 2026cs.CL cs.AIcited by 1

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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.

Builds on

12 of 32 references.

References · 12

  1. 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arenacited by 8,626
  2. 2020COMET: A Neural Framework for MT Evaluationcited by 1,033
  3. 2023Prometheus: Inducing Fine-grained Evaluation Capability in Language Modelscited by 575
  4. 2021The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translationcited by 560
  5. 2021Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translationcited by 338
  6. 2024Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Modelscited by 326
  7. 2023GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4cited by 146
  8. 2020Look at the First Sentence: Position Bias in Question Answeringcited by 84
  9. 2019JParaCrawl: A Large Scale Web-Based English-Japanese Parallel Corpuscited by 21
  10. 2024Can Automatic Metrics Assess High-Quality Translations?cited by 16
  11. 2018Translating Pro-Drop Languages with Reconstruction Modelscited by 14
  12. 2025BatchGEMBA: Token-Efficient Machine Translation Evaluation with Batched Prompting and Prompt Compressioncited by 3

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