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home / docs / papers / cited-by / Who cites «Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation» · page 2

Who cites «Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation» · page 2

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

Pages: 1 · 2 · 3 · 4

  1. M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation Evaluation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  2. MAATS: A Multi-Agent Automated Translation System Based on MQM Evaluation — 2025 · arXiv:2505.14848
  3. MAS-LitEval : Multi-Agent System for Literary Translation Quality Assessment — 2025 · arXiv:2506.14199
  4. 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
  5. MQM-Chat: Multidimensional Quality Metrics for Chat Translation — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  6. MQM-MSC: Enhancing Translation Quality Estimation Interpretability with Mask-Driven Self-Correction in Large Language Models — 2025 · Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)
  7. MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  8. MT-RewardTree: A Comprehensive Framework for Advancing LLM-Based Machine Translation via Reward Modeling — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  9. Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets — 2025 · Computational Linguistics
  10. MetricX-25 and GemSpanEval: Google Translate Submissions to the WMT25 Evaluation Shared Task — 2025 · Proceedings of the Tenth Conference on Machine Translation
  11. Minimum Bayes Risk Decoding for Error Span Detection in Reference-Free Automatic Machine Translation Evaluation — 2025 · arXiv:2512.07540
  12. Non-Linear Scoring Model for Translation Quality Evaluation — 2025 · arXiv:2511.13467
  13. Nvidia-Nemo's WMT 2025 Metrics Shared Task Submission — 2025 · Proceedings of the Tenth Conference on Machine Translation
  14. OpeNLGauge: An Explainable Metric for NLG Evaluation with Open-Weights LLMs — 2025 · Proceedings of the 18th International Natural Language Generation Conference
  15. Penalizing Length: Uncovering Systematic Bias in Quality Estimation Metrics — 2025 · arXiv:2510.22028
  16. PromptOptMe: Error-Aware Prompt Compression for LLM-based MT Evaluation Metrics — 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)
  17. QE4PE: Word-level Quality Estimation for Human Post-Editing — 2025 · Transactions of the Association for Computational Linguistics
  18. Quality Estimation Reranking for Document-Level Translation — 2025 · arXiv:2510.08870
  19. Quality-Aware Decoding: Unifying Quality Estimation and Decoding — 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)
  20. ReMedy: Learning Machine Translation Evaluation from Human Preferences with Reward Modeling — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  21. Reasoning for Translation: Comparative Analysis of Chain-of-Thought and Tree-of-Thought Prompting for LLM Translation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
  22. Refined Assessment for Translation Evaluation: Rethinking Machine Translation Evaluation in the Era of Human-Level Systems — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  23. Specification-Aware Machine Translation and Evaluation for Purpose Alignment — 2025 · Proceedings of the Tenth Conference on Machine Translation
  24. TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  25. Tagged Span Annotation for Detecting Translation Errors in Reasoning LLMs — 2025 · Proceedings of the Tenth Conference on Machine Translation
  26. Testing LLMs'' Capabilities in Annotating Translations Based on an Error Typology Designed for LSP Translation: First Experiments with ChatGPT — 2025 · Proceedings of Machine Translation Summit XX: Volume 1
  27. Towards Inducing Long-Context Abilities in Multilingual Neural Machine Translation Models — 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)
  28. Translation Analytics for Freelancers: I. Introduction, Data Preparation, Baseline Evaluations — 2025 · Proceedings of Machine Translation Summit XX: Volume 1
  29. Unsupervised Word-level Quality Estimation for Machine Translation Through the Lens of Annotators (Dis)agreement — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  30. 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)
  31. WMT24++: Expanding the Language Coverage of WMT24 to 55 Languages & Dialects — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  32. A Deep Analysis of the Impact of Multiword Expressions and Named Entities on Chinese-English Machine Translations — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  33. A Human Perspective on GPT-4 Translations: Analysing Faroese to English News and Blog Text Translations — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
  34. A Multi-task Learning Framework for Evaluating Machine Translation of Emotion-loaded User-generated Content — 2024 · Proceedings of the Ninth Conference on Machine Translation
  35. AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African 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)
  36. Analysis of the Annotations from a Crowd MT Evaluation Initiative: Case Study for the Spanish-Basque Pair — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
  37. Are Large Language Models State-of-the-art Quality Estimators for Machine Translation of User-generated Content? — 2024 · Proceedings of the Eleventh Workshop on Asian Translation (WAT 2024)
  38. Barriers to Effective Evaluation of Simultaneous Interpretation — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
  39. Benchmarking GPT-4 against Human Translators: A Comprehensive Evaluation Across Languages, Domains, and Expertise Levels — 2024 · arXiv:2411.13775
  40. Beyond Correlation: Interpretable Evaluation of Machine Translation Metrics — our card · 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  41. Beyond Reference: Evaluating High Quality Translations Better than Human References — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  42. 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)
  43. Can Automatic Metrics Assess High-Quality Translations? — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  44. ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  45. Creative and Context-Aware Translation of East Asian Idioms with GPT-4 — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  46. Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  47. 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)
  48. Enhancing Neural Machine Translation of Low-Resource Languages: Corpus Development, Human Evaluation and Explainable AI Architectures — 2024 · arXiv:2403.01580
  49. Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  50. Error Span Annotation: A Balanced Approach for Human Evaluation of Machine Translation — 2024 · Proceedings of the Ninth Conference on Machine Translation
  51. Evading Data Contamination Detection for Language Models is (too) Easy — 2024 · arXiv:2402.02823
  52. Exploring Human-Like Translation Strategy with Large Language Models — 2024 · Transactions of the Association for Computational Linguistics
  53. FINDINGS OF THE IWSLT 2024 EVALUATION CAMPAIGN — 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)
  54. Finding Replicable Human Evaluations via Stable Ranking Probability — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  55. Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  56. First Tragedy, then Parse: History Repeats Itself in the New Era of Large 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)
  57. Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  58. GPT-4 vs. Human Translators: A Comprehensive Evaluation of Translation Quality Across Languages, Domains, and Expertise Levels — 2024 · arXiv:2407.03658
  59. Guardians of the Machine Translation Meta-Evaluation: Sentinel Metrics Fall In! — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  60. Guiding Large Language Models to Post-Edit Machine Translation with Error Annotations — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  61. How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages? — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  62. Improving Minimum Bayes Risk Decoding with Multi-Prompt — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  63. Investigating Neural Machine Translation for Low-Resource Languages: Using Bavarian as a Case Study — 2024 · Proceedings of the 3rd Annual Meeting of the Special Interest Group on Under-resourced Languages @ LREC-COLING 2024
  64. LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  65. LLMs and Translation: different approaches to localization between Brazilian Portuguese and European Portuguese — 2024 · Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 1
  66. LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks — 2024 · arXiv:2406.18403
  67. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods — 2024 · arXiv:2412.05579
  68. Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  69. Learning from others'' mistakes: Finetuning machine translation models with span-level error annotations — 2024 · arXiv:2410.16509
  70. Lessons from the Trenches on Reproducible Evaluation of Language Models — 2024 · arXiv:2405.14782
  71. Leveraging Large Language Models for NLG Evaluation: Advances and Challenges — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  72. Likelihood-based Mitigation of Evaluation Bias in Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  73. Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  74. MT-Ranker: Reference-free machine translation evaluation by inter-system ranking — 2024 · arXiv:2401.17099
  75. MTUncertainty: Assessing the Need for Post-editing of Machine Translation Outputs by Fine-tuning OpenAI LLMs — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
  76. Measuring Uncertainty in Neural Machine Translation with Similarity-Sensitive Entropy — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  77. MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task — 2024 · Proceedings of the Ninth Conference on Machine Translation
  78. Mitigating Metric Bias in Minimum Bayes Risk Decoding — 2024 · Proceedings of the Ninth Conference on Machine Translation
  79. Multi-Dimensional Machine Translation Evaluation: Model Evaluation and Resource for Korean — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  80. NEO-BENCH: Evaluating Robustness of Large Language Models with Neologisms — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  81. 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)
  82. Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  83. On the Implications of Verbose LLM Outputs: A Case Study in Translation Evaluation — 2024 · arXiv:2410.00863
  84. POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  85. Pre-task perceptions of MT influence quality and productivity: the importance of better translator-computer interactions and implications for training — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
  86. Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  87. Quality and Quantity of Machine Translation References for Automatic Metrics — 2024 · Proceedings of the Fourth Workshop on Human Evaluation of NLP Systems (HumEval) @ LREC-COLING 2024
  88. 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)
  89. Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  90. Simpson's Paradox and the Accuracy-Fluency Tradeoff in Translation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  91. TMU-HIT''s Submission for the WMT24 Quality Estimation Shared Task: Is GPT-4 a Good Evaluator for Machine Translation? — 2024 · Proceedings of the Ninth Conference on Machine Translation
  92. Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  93. Towards Large Language Model driven Reference-less Translation Evaluation for English and Indian Languages — 2024 · arXiv:2404.02512
  94. Towards Multiple References Era – Addressing Data Leakage and Limited Reference Diversity in Machine Translation Evaluation — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  95. Towards Precise Localization of Critical Errors in Machine Translation — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  96. Towards a More Comprehensive Evaluation for Italian LLMs — 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)
  97. TransAgents: Build Your Translation Company with Language Agents — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
  98. Word-level Translation Quality Estimation Based on Optimal Transport — 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
  99. adaptMLLM: Fine-Tuning Multilingual Language Models on Low-Resource Languages with Integrated LLM Playgrounds — 2024 · arXiv:2403.02370 · Information 2023, 14(12), 638
  100. chrF-S: Semantics Is All You Need — 2024 · Proceedings of the Ninth Conference on Machine Translation

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