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Who cites «Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation» · page 3

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

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  1. 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
  2. Learning from others'' mistakes: Finetuning machine translation models with span-level error annotations — 2024 · arXiv:2410.16509
  3. Lessons from the Trenches on Reproducible Evaluation of Language Models — 2024 · arXiv:2405.14782
  4. Leveraging Large Language Models for NLG Evaluation: Advances and Challenges — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  5. Likelihood-based Mitigation of Evaluation Bias in Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  6. 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
  7. MT-Ranker: Reference-free machine translation evaluation by inter-system ranking — 2024 · arXiv:2401.17099
  8. 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)
  9. 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)
  10. MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task — 2024 · Proceedings of the Ninth Conference on Machine Translation
  11. Mitigating Metric Bias in Minimum Bayes Risk Decoding — 2024 · Proceedings of the Ninth Conference on Machine Translation
  12. 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)
  13. 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)
  14. 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)
  15. Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  16. On the Implications of Verbose LLM Outputs: A Case Study in Translation Evaluation — 2024 · arXiv:2410.00863
  17. 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)
  18. Position Paper: Should Machine Translation be Labelled as AI-Generated Content? — 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
  19. 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)
  20. 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)
  21. 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
  22. 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)
  23. ReproHum \#0033-3: Comparable Relative Results with Lower Absolute Values in a Reproduction Study — 2024 · Proceedings of the Fourth Workshop on Human Evaluation of NLP Systems (HumEval) @ LREC-COLING 2024
  24. ReproHum: \#0033-03: How Reproducible Are Fluency Ratings of Generated Text? A Reproduction of August et al. 2022 — 2024 · Proceedings of the Fourth Workshop on Human Evaluation of NLP Systems (HumEval) @ LREC-COLING 2024
  25. Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  26. 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)
  27. 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
  28. The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  29. 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
  30. Towards Global AI Inclusivity: A Large-Scale Multilingual Terminology Dataset (GIST) — 2024 · arXiv:2412.18367
  31. Towards Large Language Model driven Reference-less Translation Evaluation for English and Indian Languages — 2024 · arXiv:2404.02512
  32. 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
  33. Towards Precise Localization of Critical Errors in Machine Translation — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  34. Towards a More Comprehensive Evaluation for Italian LLMs — 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)
  35. TransAgents: Build Your Translation Company with Language Agents — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
  36. What Have We Achieved on Non-autoregressive Translation? — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  37. 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)
  38. adaptMLLM: Fine-Tuning Multilingual Language Models on Low-Resource Languages with Integrated LLM Playgrounds — 2024 · arXiv:2403.02370 · Information 2023, 14(12), 638
  39. chrF-S: Semantics Is All You Need — 2024 · Proceedings of the Ninth Conference on Machine Translation
  40. xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection — 2024 · Transactions of the Association for Computational Linguistics
  41. A Critical Evaluation of Evaluations for Long-form Question Answering — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  42. An Experiment in Error Analysis of Real-time Speech Machine Translation Using the Example of the European Parliament's Innovation Partnership — 2023 · Proceedings of the Ninth Italian Conference on Computational Linguistics (CLiC-it 2023)
  43. Are Experts Needed? On Human Evaluation of Counselling Reflection Generation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  44. AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ — 2023 · arXiv:2310.00367 · The Twelfth International Conference on Learning Representations, 2024
  45. BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models — 2023 · arXiv:2309.06085
  46. Barriers and enabling factors for error analysis in NLG research — 2023 · Northern European Journal of Language Technology
  47. Beyond Correlation: Making Sense of the Score Differences of New MT Evaluation Metrics — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
  48. BooookScore: A systematic exploration of book-length summarization in the era of LLMs — 2023 · arXiv:2310.00785
  49. Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation — 2023
  50. C-XNLI: Croatian Extension of XNLI Dataset — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  51. CCEval: A Representative Evaluation Benchmark for the Chinese-centric Multilingual Machine Translation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  52. Dancing Between Success and Failure: Edit-level Simplification Evaluation using SALSA — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  53. DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  54. Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  55. Empirical Assessment of kNN-MT for Real-World Translation Scenarios — 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation
  56. Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  57. Evaluating Optimal Reference Translations — 2023 · arXiv:2311.16787
  58. EvolveMT: an Ensemble MT Engine Improving Itself with Usage Only — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track)
  59. Explaining with Contrastive Phrasal Highlighting: A Case Study in Assisting Humans to Detect Translation Differences — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  60. Extrinsic Evaluation of Machine Translation Metrics — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  61. FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN — 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)
  62. FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation — 2023 · Transactions of the Association for Computational Linguistics
  63. 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
  64. Findings of the WMT 2023 Shared Task on Quality Estimation — 2023 · Proceedings of the Eighth Conference on Machine Translation
  65. GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4 — 2023 · Proceedings of the Eighth Conference on Machine Translation
  66. GPTScore: Evaluate as You Desire — 2023 · arXiv:2302.04166
  67. How effective is machine translation on low-resource code-switching? A case study comparing human and automatic metrics — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  68. INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  69. IOL Research's Submission for WMT 2023 Quality Estimation Shared Task — 2023 · Proceedings of the Eighth Conference on Machine Translation
  70. 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)
  71. L''évaluation de la traduction automatique du caractère au document : un état de l''art — 2023 · Actes de CORIA-TALN 2023. Actes des 16e Rencontres Jeunes Chercheurs en RI (RJCRI) et 25e Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL)
  72. Large Language Models Are State-of-the-Art Evaluators of Translation Quality — 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation
  73. Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors Persist — 2023 · Proceedings of the Eighth Conference on Machine Translation
  74. Leveraging GPT-4 for Automatic Translation Post-Editing — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  75. MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods — 2023 · arXiv:2309.10966
  76. MMT's Submission for the WMT 2023 Quality Estimation Shared Task — 2023 · Proceedings of the Eighth Conference on Machine Translation
  77. MetricX-23: The Google Submission to the WMT 2023 Metrics Shared Task — 2023 · Proceedings of the Eighth Conference on Machine Translation
  78. Multi-domain Summarization from Leaderboards to Practice: Re-examining Automatic and Human Evaluation — 2023 · Proceedings of the Third Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  79. NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  80. Onception: Active Learning with Expert Advice for Real World Machine Translation — 2023 · Computational Linguistics
  81. One Embedder, Any Task: Instruction-Finetuned Text Embeddings — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  82. 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
  83. PaLM 2 Technical Report — 2023 · arXiv:2305.10403
  84. ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  85. Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  86. Prompting PaLM for Translation: Assessing Strategies and Performance — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  87. Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent — 2023 · Proceedings of the Eighth Conference on Machine Translation
  88. Rethinking the Word-level Quality Estimation for Machine Translation from Human Judgement — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  89. Reward Gaming in Conditional Text Generation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  90. SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  91. SESCORE2: Learning Text Generation Evaluation via Synthesizing Realistic Mistakes — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  92. Student''s t-Distribution: On Measuring the Inter-Rater Reliability When the Observations are Scarce — 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing
  93. T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  94. TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks — 2023 · arXiv:2310.00752
  95. Team NLLG submission for Eval4NLP 2023 Shared Task: Retrieval-Augmented In-Context Learning for NLG Evaluation — 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems
  96. Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  97. The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  98. The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation — 2023 · Proceedings of the Eighth Conference on Machine Translation
  99. The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics — 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems
  100. The MT@BZ corpus: machine translation & legal language — 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation

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