🔗 Who cites «Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie Calibration»

56 papers of our library cite it (of the 141,840 whose bibliographies we read) · 12 with a page here, the most cited first · ← back to «Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie Calibration»

1. Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language ModelsQingyu Lu, Baopu Qiu, Liang Ding, et al.2024 · 135 citations
2. MetricX-24: The Google Submission to the WMT 2024 Metrics Shared TaskJuraj Juraska, Daniel Deutsch, Mara Finkelstein, et al.2024 · 118 citations
3. M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation EvaluationZhaopeng Feng, Jiayuan Su, Jiamei Zheng, et al.2025 · 24 citations
4. Guardians of the Machine Translation Meta-Evaluation: Sentinel Metrics Fall In!Stefano Perrella, Lorenzo Proietti, Alessandro Scirè, et al.2024 · 24 citations
5. MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation EvaluatorsQingyu Lu, Liang Ding, Kanjian Zhang, et al.2025 · 22 citations
6. Assessing the Role of Context in Chat Translation Evaluation: Is Context Helpful and Under What Conditions?Sweta Agrawal, Amin Farajian, Patrick Fernandes, et al.2024 · 8 citations
7. Beyond Literal Mapping: Benchmarking and Improving Non-Literal Translation EvaluationYanzhi Tian, Cunxiang Wang, Zeming Liu, et al.2026 · 5 citations
8. Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error AnnotationsShaomu Tan, Ryosuke Mitani, Ritvik Choudhary, et al.2026 · 2 citations
9. Who Watches the Watchmen? Humans Disagree With Translation Metrics on Unseen DomainsFinn Schmidt, Jan Philip Wahle, Terry Ruas, et al.2026 · 2 citations
10. PEAR: Pairwise Evaluation for Automatic Relative Scoring in Machine TranslationLorenzo Proietti, Roman Grundkiewicz, Matt Post2026 · 1 citation
11. Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT EvaluationLuke Zhang, Justin Vasselli, Aditya Khan, et al.2026
12. MQM Re-Annotation: A Technique for Collaborative Evaluation of Machine TranslationParker Riley, Daniel Deutsch, Mara Finkelstein, et al.2026

44 more papers of our library cite it; they have no page here yet.

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