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

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

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  1. $\tau$-Multilingual: Benchmarking Voice Agents Across Languages — 2026 · arXiv:2609.35820
  2. Assessing Quality of Experience in Natural Language Generation of German Text — 2026 · arXiv:2608.18888
  3. Automated evaluation of LLMs for effective machine translation of Mandarin Chinese to English — 2026 · arXiv:2603.09998
  4. Benchmarking Speech-to-Speech Translation Models — 2026 · arXiv:2606.03241
  5. Beyond BLEU: A Case for Redefining Sign Language Translation Benchmarks — 2026 · arXiv:2609.03734
  6. Beyond Literal Mapping: Benchmarking and Improving Non-Literal Translation Evaluation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  7. 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
  8. Contrastive ESA: Human Evaluation of Multiple Translations at Once — 2026 · arXiv:2607.26640
  9. 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)
  10. Evaluating Communicative Success in Machine-Translated Conversation — 2026 · arXiv:2609.19885
  11. Evaluating LLM-Based Translation of a Low-Resource Technical Language: The Medical and Philosophical Greek of Galen — 2026 · arXiv:2602.24119
  12. FINEST: Improving LLM Responses to Sensitive Topics Through Fine-Grained Evaluation — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
  13. FairQE: Multi-Agent Framework for Mitigating Gender Bias in Translation Quality Estimation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  14. From Outliers to Errors: Auditing Pali-to-English LLM Translations with Multi-Reference Adjudication — 2026 · arXiv:2606.01136
  15. Generating Difficult-to-Translate Texts — 2026 · Proceedings of the First Workshop on Multilingual Multicultural Evaluation
  16. Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs — 2026 · Transactions of the Association for Computational Linguistics
  17. In the Blind: Building Pseudo-References for MT Evaluation — 2026 · arXiv:2609.13611
  18. IndicQE-APE: A Consolidated Benchmark for Quality Estimation and Automatic Post-Editing for Indic Languages — 2026 · arXiv:2608.16344
  19. Is Human Annotation Necessary? Iterative MBR Distillation for Error Span Detection in Machine Translation — 2026 · arXiv:2603.12983
  20. JP-TL-Bench: Anchored Pairwise LLM Evaluation for Bidirectional Japanese-English Translation — 2026 · arXiv:2601.00223
  21. LLM as a Meta-Judge: Synthetic Data for NLP Evaluation Metric Validation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
  22. LLM-as-a-Jury for Machine Translation Publishability Assessment — 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)
  23. LLM-as-a-qualitative-judge: automating error analysis in natural language generation — 2026 · Proceedings of the First Workshop on Multilingual Multicultural Evaluation
  24. LLMs as Span Annotators: A Comparative Study of LLMs and Humans — 2026 · Proceedings of the First Workshop on Multilingual Multicultural Evaluation
  25. LLMs in the Real World: Evaluating ``AI'''' in Emergency Contexts — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  26. LQM: Linguistically Motivated Multidimensional Quality Metrics for Machine Translation — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  27. Large Language Models as Annotators for Machine Translation Quality Estimation — 2026 · arXiv:2603.10775
  28. Last Translation Benchmark — 2026 · arXiv:2609.04173
  29. LocQE: Principled Domain Adaptation for Localisation Quality Estimation by Leveraging Post-Edits — 2026 · arXiv:2609.18720
  30. MAPS: A Multilingual Benchmark for Agent Performance and Security — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
  31. MQM Re-Annotation: A Technique for Collaborative Evaluation of Machine Translation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  32. Machine translation Evaluation Eng-Thai MQM Ranking dataset — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)
  33. MetaDocEval: A Contrastive Framework for Evaluating Machine Translation Metrics at the Document-Level — 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)
  34. Mind Which Bird You Favour: Parameterizing Adequacy-Fluency Balance in Meta-Evaluation of Machine Translation — 2026 · arXiv:2609.14795
  35. Multi-Agent Debate for Machine Translation: A Case Study on English-Japanese Translation — 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)
  36. Multi-modal, Multi-task, Multi-criteria Automatic Evaluation with Vision Language Models — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  37. PEAR: Pairwise Evaluation for Automatic Relative Scoring in Machine Translation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  38. Pearmut: Human Evaluation of Translation Made Trivial — 2026 · arXiv:2601.02933
  39. Quantifying the Impact of Translation Errors on Multilingual LLM Evaluation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  40. R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning — 2026 · Transactions of the Association for Computational Linguistics
  41. 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
  42. Register Sensitivity in Scalar MT Evaluation: Evidence from Spanish–Basque Informal Discourse — 2026 · Proceedings of the SIGUL 2026 Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages
  43. Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error Annotations — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  44. RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-Agents — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  45. Rubric-as-Experts: Case-Specific MQM Rubrics for Translation Error Span Detection — 2026 · arXiv:2606.21559
  46. Should We be Pedantic About Reasoning Errors in Machine Translation? — 2026 · arXiv:2604.09890
  47. SiniticMTError: A Machine Translation Dataset with Error Annotations for Sinitic Languages — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  48. Span-Level Machine Translation Meta-Evaluation — 2026 · arXiv:2603.19921
  49. SwissGov-RSD: A Human-annotated, Cross-lingual Benchmark for Token-level Recognition of Semantic Differences Between Related Documents — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  50. TQLite: Multi-LLM Jury Guided Distillation for Real-time MQM Translation Quality Evaluation — 2026 · arXiv:2608.02975
  51. TTLab at AlexandriaX-2026: A Fine-Tuned Surface Tagger for Arabic Machine-Translation Error-Span Detection and Classification — 2026 · arXiv:2609.29633
  52. The Blindness of Document-Level Translation Evaluation — 2026 · arXiv:2609.05949
  53. The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL Platform — 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 2)
  54. To Write or to Automate Linguistic Prompts, That Is the Question — 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)
  55. Toward domain-specific machine translation and quality estimation systems — 2026 · arXiv:2603.24955
  56. Translation-CoT: A Human-Inspired Chain-of-Thought Framework for Multilingual LLM Translation — 2026 · Proceedings of the 17th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
  57. Translators'' Perceptions and Edit Traces: Quality of MT as a Tool in Canadian Parliamentary Translation — 2026 · Proceedings of the 17th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
  58. Using Model Disagreement to Identify Unstable Regions in MT Evaluation — 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)
  59. What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary Translation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  60. When the Gold Standard Isn''t Necessarily Standard: Challenges of Evaluating the Translation of User-Generated Content — 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)
  61. Who Watches the Watchmen? Humans Disagree With Translation Metrics on Unseen Domains — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  62. XQ-MEval: A Dataset with Cross-lingual Parallel Quality for Benchmarking Translation Metrics — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  63. XToM: Exploring the Multilingual Theory of Mind for Large Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  64. ``Be My Cheese?'''': Cultural Nuance Benchmarking for Machine Translation in Multilingual LLMs — 2026 · Proceedings of the Fifth Workshop on Generation, Evaluation and Metrics (GEM)
  65. A comparison of translation performance between DeepL and Supertext — 2025 · Proceedings of Machine Translation Summit XX: Volume 2
  66. AI agents may be worth the hype but not the resources (yet): An initial exploration of machine translation quality and costs in three language pairs in the legal and news domains — 2025 · arXiv:2505.01560
  67. AI-Assisted Human Evaluation of Machine Translation — 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)
  68. Align-then-Slide: A complete evaluation framework for Ultra-Long Document-Level Machine Translation — 2025 · arXiv:2509.03809
  69. Aligning Black-box Language Models with Human Judgments — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  70. Alleviating Distribution Shift in Synthetic Data for Machine Translation Quality Estimation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  71. An Empirical Analysis of Machine Translation for Expanding Multilingual Benchmarks — 2025 · Proceedings of the Tenth Conference on Machine Translation
  72. An Evaluation Resource for Grounding Translation Errors — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  73. An Interdisciplinary Approach to Human-Centered Machine Translation — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  74. 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)
  75. Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost — 2025 · arXiv:2510.20780
  76. Ask Me Like I''m Human: LLM-based Evaluation with For-Human Instructions Correlates Better with Human Evaluations than Human Judges — 2025 · Proceedings of the 4th Table Representation Learning Workshop
  77. AskQE: Question Answering as Automatic Evaluation for Machine Translation — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  78. Audio-Based Crowd-Sourced Evaluation of Machine Translation Quality — 2025 · Proceedings of the Tenth Conference on Machine Translation
  79. Automatic Input Rewriting Improves Translation with Large Language 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)
  80. COMET-poly: Machine Translation Metric Grounded in Other Candidates — 2025 · Proceedings of the Tenth Conference on Machine Translation
  81. CSEval: Towards Automated, Multi-Dimensional, and Reference-Free Counterspeech Evaluation using Auto-Calibrated LLMs — 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)
  82. Calibrating Translation Decoding with Quality Estimation on LLMs — 2025 · arXiv:2504.19044
  83. Can LLMs Help Sun Wukong in his Journey to the West? A Case Study of Language Models in Video Game Localization — 2025 · Proceedings of the First Workshop on Natural Language Processing and Language Models for Digital Humanities
  84. Command-A-Translate: Raising the Bar of Machine Translation with Difficulty Filtering — 2025 · Proceedings of the Tenth Conference on Machine Translation
  85. Context-Aware Monolingual Evaluation of Machine Translation — 2025 · Proceedings of Machine Translation Summit XX: Volume 1
  86. Context-Aware Monolingual Human Evaluation of Machine Translation — 2025 · arXiv:2504.07685
  87. Contextual Metric Meta-Evaluation by Measuring Local Metric Accuracy — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  88. ContrastScore: Towards Higher Quality, Less Biased, More Efficient Evaluation Metrics with Contrastive Evaluation — 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
  89. Cross-lingual Human-Preference Alignment for Neural Machine Translation with Direct Quality Optimization — 2025 · Proceedings of the Tenth Conference on Machine Translation
  90. Crosslingual Optimized Metric for Translation Assessment of Indian Languages — 2025 · arXiv:2509.17667
  91. D\''ej\`a Vu: Multilingual LLM Evaluation through the Lens of Machine Translation Evaluation — 2025 · arXiv:2504.11829
  92. DiBiMT: A Gold Evaluation Benchmark for Studying Lexical Ambiguity in Machine Translation — 2025 · Computational Linguistics
  93. Do Large Language Models understand how to be judges? — 2025 · Proceedings of the 2nd LUHME Workshop
  94. Don''t Sweat the Small Stuff: Segment-Level Meta-Evaluation Based on Pairwise Difference Correlation — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  95. Enhancing Human Evaluation in Machine Translation with Comparative Judgement — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  96. Enhancing Human Evaluation in Machine Translation with Comparative Judgment — 2025 · arXiv:2502.17797
  97. Enhancing Machine Translation with Self-Supervised Preference Data — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  98. Estimating Machine Translation Difficulty — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  99. Evaluating Evaluation Metrics for Ancient Chinese to English Machine Translation — 2025 · Proceedings of the Second Workshop on Ancient Language Processing
  100. Evaluating Language Translation Models by Playing Telephone — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

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