Who cites «Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics»

203 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

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1. A Critical Study of Automatic Evaluation in Sign Language Translation — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
2. Automated evaluation of LLMs for effective machine translation of Mandarin Chinese to English — 2026 · arXiv:2603.09998
3. Benchmarking Speech-to-Speech Translation Models — 2026 · arXiv:2606.03241
4. Can We Triage LLM Translation Errors in Classical Texts Without Human References? Source Novelty, GEMBA Scoring, and Budgeted Review through Pali-to-English Translation — 2026 · arXiv:2609.14963
5. Contextual Diversity Measure (CDM) for Controllable Story Generation in Large Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
6. Creativity Bias: How Machine Evaluation Struggles with Creativity in Literary Translations — 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)
7. Diagnose, Then Repair: A Two-Stage MQM-Guided Post-Editing Framework for Domain-Specific Machine Translation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)
8. From Outliers to Errors: Auditing Pali-to-English LLM Translations with Multi-Reference Adjudication — 2026 · arXiv:2606.01136
9. M-GATE: Multilingual Grammar, Accuracy in Translation, and Efficiency Benchmark for Large Language Models — 2026 · arXiv:2608.03803
10. Mind Which Bird You Favour: Parameterizing Adequacy-Fluency Balance in Meta-Evaluation of Machine Translation — 2026 · arXiv:2609.14795
11. NLG Evaluation: Past, Present, Future — 2026 · Proceedings of the 1st Symposium on Natural Language Generation Evaluations
12. Referenceless Evaluation of Machine Translation Models by Ranking Performance in Romanian to English Translate-train Settings — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
13. SemiAdapt: Semi-Supervised and Efficient LoRA-Based Domain Adaptation for Low-Resource Irish Machine Translation with Transformers — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
14. TQLite: Multi-LLM Jury Guided Distillation for Real-time MQM Translation Quality Evaluation — 2026 · arXiv:2608.02975
15. Unified Multi-Dialectal Neural Machine Translation for Bangla Using the Dwadash Benchmark Corpus — 2026 · arXiv:2608.12018
16. Who Watches the Watchmen? Humans Disagree With Translation Metrics on Unseen Domains — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
17. ``Be My Cheese?'''': Cultural Nuance Benchmarking for Machine Translation in Multilingual LLMs — 2026 · Proceedings of the Fifth Workshop on Generation, Evaluation and Metrics (GEM)
18. Analyzing and Evaluating Correlation Measures in NLG Meta-Evaluation — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
19. BLEUBERI: BLEU is a surprisingly effective reward for instruction following — 2025 · arXiv:2505.11080
20. Better Aligned with Survey Respondents or Training Data? Unveiling Political Leanings of LLMs on U.S. Supreme Court Cases — 2025 · Proceedings of the First Workshop on Large Language Model Memorization (L2M2)
21. Better Late Than Never: Meta-Evaluation of Latency Metrics for Simultaneous Speech-to-Text Translation — 2025 · arXiv:2509.17349
22. Context-Informed Machine Translation of Manga using Multimodal Large Language Models — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
23. D\''ej\`a Vu: Multilingual LLM Evaluation through the Lens of Machine Translation Evaluation — 2025 · arXiv:2504.11829
24. Do LLMs Understand Your Translations? Evaluating Paragraph-level MT with Question Answering — 2025 · arXiv:2504.07583
25. Estimating Machine Translation Difficulty — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
26. Evaluating the Feasibility of Using ChatGPT for Cross-cultural Survey Translation — 2025 · Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Long and Short Papers
27. Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
28. Findings of the AmericasNLP 2025 Shared Tasks on Machine Translation, Creation of Educational Material, and Translation Metrics for Indigenous Languages of the Americas — 2025 · Proceedings of the Fifth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)
29. Findings of the WAT 2025 Shared Task on Japanese-English Article-level News Translation — 2025 · Proceedings of the Twelfth Workshop on Asian Translation (WAT 2025)
30. Findings of the WMT25 General Machine Translation Shared Task: Time to Stop Evaluating on Easy Test Sets — 2025 · Proceedings of the Tenth Conference on Machine Translation
31. Findings of the WMT25 Multilingual Instruction Shared Task: Persistent Hurdles in Reasoning, Generation, and Evaluation — 2025 · Proceedings of the Tenth Conference on Machine Translation
32. Findings of the WMT25 Shared Task on Automated Translation Evaluation Systems: Linguistic Diversity is Challenging and References Still Help — 2025 · Proceedings of the Tenth Conference on Machine Translation
33. How to Evaluate Speech Translation with Source-Aware Neural MT Metrics — 2025 · arXiv:2511.03295
34. Investigating Length Issues in Document-level Machine Translation — 2025 · Proceedings of Machine Translation Summit XX: Volume 1
35. MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation Evaluators — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
36. MSLC25: Metric Performance on Low-Quality Machine Translation, Empty Strings, and Language Variants — 2025 · Proceedings of the Tenth Conference on Machine Translation
37. NHK Submission to WAT 2025: Leveraging Preference Optimization for Article-level Japanese–English News Translation — 2025 · Proceedings of the Twelfth Workshop on Asian Translation (WAT 2025)
38. The Devil is in the Details: Assessing the Effects of Machine-Translation on LLM Performance in Domain-Specific Texts — 2025 · Proceedings of Machine Translation Summit XX: Volume 1
39. Towards Zero-Shot Multimodal Machine Translation — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
40. TransEvalnia: Reasoning-based Evaluation and Ranking of Translations — 2025 · arXiv:2507.12724
41. Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
42. Verify with Caution: The Pitfalls of Relying on Imperfect Factuality Metrics — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
43. Évaluation de la Robustesse des LLM : Proposition d''un Cadre Méthodologique et Développement d''un Benchmark — 2025 · Actes de l'atelier Évaluation des modèles génératifs (LLM) et challenge 2025 (EvalLLM)
44. An Analysis on Automated Metrics for Evaluating Japanese-English Chat Translation — 2024 · arXiv:2412.18190
45. Beyond Correlation: Interpretable Evaluation of Machine Translation Metrics — our card · 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
46. COMET for Low-Resource Machine Translation Evaluation: A Case Study of English-Maltese and Spanish-Basque — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
47. DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
48. Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
49. Efficient Benchmarking (of Language Models) — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
50. Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
51. Evaluating Automatic Metrics with Incremental Machine Translation Systems — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
52. Evaluating the IWSLT2023 Speech Translation Tasks: Human Annotations, Automatic Metrics, and Segmentation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
53. Finding Blind Spots in Evaluator LLMs with Interpretable Checklists — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
54. Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved Yet — 2024 · Proceedings of the Ninth Conference on Machine Translation
55. Improving Statistical Significance in Human Evaluation of Automatic Metrics via Soft Pairwise Accuracy — 2024 · Proceedings of the Ninth Conference on Machine Translation
56. Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis — 2024 · Proceedings of the Ninth Conference on Machine Translation
57. Kreyòl-MT: Building MT for Latin American, Caribbean and Colonial African Creole Languages — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
58. Navigating the Metrics Maze: Reconciling Score Magnitudes and Accuracies — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
59. Pushing the Limits of Zero-shot End-to-End Speech Translation — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
60. Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
61. Revisiting Meta-evaluation for Grammatical Error Correction — 2024
62. Topic-guided Example Selection for Domain Adaptation in LLM-based Machine Translation — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
63. Towards Large Language Model driven Reference-less Translation Evaluation for English and Indian Languages — 2024 · arXiv:2404.02512
64. À propos des difficultés de traduire automatiquement de longs documents — 2024 · Actes de la 31ème Conférence sur le Traitement Automatique des Langues Naturelles, volume 1 : articles longs et prises de position
65. Adapting Machine Translation Education to the Neural Era: A Case Study of MT Quality Assessment — 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation
66. Aligning Offline Metrics and Human Judgments of Value for Code Generation Models — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
67. Analysing Mistranslation of Emotions in Multilingual Tweets by Online MT Tools — 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation
68. BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
69. Beyond Correlation: Making Sense of the Score Differences of New MT Evaluation Metrics — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
70. Breeding Machine Translations: Evolutionary approach to survive and thrive in the world of automated evaluation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
71. Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation — 2023
72. Calibrated Interpretation: Confidence Estimation in Semantic Parsing — 2023
73. Extrinsic Evaluation of Machine Translation Metrics — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
74. Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet — 2023 · Proceedings of the Eighth Conference on Machine Translation
75. GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4 — 2023 · Proceedings of the Eighth Conference on Machine Translation
76. IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation Metrics for Indian Languages — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
77. Metric Score Landscape Challenge (MSLC23): Understanding Metrics'' Performance on a Wider Landscape of Translation Quality — 2023 · Proceedings of the Eighth Conference on Machine Translation
78. On the Blind Spots of Model-Based Evaluation Metrics for Text Generation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
79. PE effort and neural-based automatic MT metrics: do they correlate? — 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation
80. Rethinking Round-Trip Translation for Machine Translation Evaluation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
81. Robustness Tests for Automatic Machine Translation Metrics with Adversarial Attacks — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
82. T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
83. TeCS: A Dataset and Benchmark for Tense Consistency of Machine Translation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
84. The Inside Story: Towards Better Understanding of Machine Translation Neural Evaluation Metrics — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
85. Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie Calibration — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
86. Toward Human-Like Evaluation for Natural Language Generation with Error Analysis — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
87. Towards Large Language Model driven Reference-less Translation Evaluation for English and Indian Language — 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)
88. UScore: An Effective Approach to Fully Unsupervised Evaluation Metrics for Machine Translation — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
89. Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
90. Boosting Code Summarization by Embedding Code Structures — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
91. Bridging the Gap between Training and Inference: Multi-Candidate Optimization for Diverse Neural Machine Translation — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
92. Control Prefixes for Parameter-Efficient Text Generation — 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
93. DEMETR: Diagnosing Evaluation Metrics for Translation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
94. Does Summary Evaluation Survive Translation to Other Languages? — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
95. Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark — 2022 · Transactions of the Association for Computational Linguistics
96. Findings of the 2022 Conference on Machine Translation (WMT22) — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
97. Improving Both Domain Robustness and Domain Adaptability in Machine Translation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
98. Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
99. Lack of Fluency is Hurting Your Translation Model — 2022 · arXiv:2205.11826
100. MS-COMET: More and Better Human Judgements Improve Metric Performance — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)

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