---
title: "Who cites Experts, Errors, and Context: A Large-Scale…"
description: "The papers of the Elamur Research library that cite «Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation», found…"
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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](https://md.research.elamur.ai/free/en/papers/freitag-2021-experts-errors-context-large-scale/)

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1. [Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level](https://aclanthology.org/2024.emnlp-main.860/) *— 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](https://arxiv.org/abs/2410.16509) *— 2024 · arXiv:2410.16509*
3. [Lessons from the Trenches on Reproducible Evaluation of Language Models](https://arxiv.org/abs/2405.14782) *— 2024 · arXiv:2405.14782*
4. [Leveraging Large Language Models for NLG Evaluation: Advances and Challenges](https://aclanthology.org/2024.emnlp-main.896/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
5. [Likelihood-based Mitigation of Evaluation Bias in Large Language Models](https://aclanthology.org/2024.findings-acl.193/) *— 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](https://aclanthology.org/2024.findings-acl.211/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
7. [MT-Ranker: Reference-free machine translation evaluation by inter-system ranking](https://arxiv.org/abs/2401.17099) *— 2024 · arXiv:2401.17099*
8. [MTUncertainty: Assessing the Need for Post-editing of Machine Translation Outputs by Fine-tuning OpenAI LLMs](https://aclanthology.org/2024.eamt-1.29/) *— 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](https://aclanthology.org/2024.eacl-long.129/) *— 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](https://aclanthology.org/2024.wmt-1.35/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
11. [Mitigating Metric Bias in Minimum Bayes Risk Decoding](https://aclanthology.org/2024.wmt-1.109/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
12. [Multi-Dimensional Machine Translation Evaluation: Model Evaluation and Resource for Korean](https://aclanthology.org/2024.lrec-main.1024/) *— 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](https://aclanthology.org/2024.acl-long.749/) *— 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](https://aclanthology.org/2024.acl-long.110/) *— 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](https://aclanthology.org/2024.emnlp-main.374/) *— 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](https://arxiv.org/abs/2410.00863) *— 2024 · arXiv:2410.00863*
17. [POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation](https://aclanthology.org/2024.acl-long.537/) *— 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?](https://aclanthology.org/2024.amta-research.11/) *— 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](https://aclanthology.org/2024.eamt-1.37/) *— 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](https://aclanthology.org/2024.acl-long.826/) *— 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](https://aclanthology.org/2024.humeval-1.1/) *— 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](https://aclanthology.org/2024.acl-long.836/) *— 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](https://aclanthology.org/2024.humeval-1.21/) *— 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](https://aclanthology.org/2024.humeval-1.13/) *— 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](https://aclanthology.org/2024.findings-emnlp.472/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
26. [Simpson's Paradox and the Accuracy-Fluency Tradeoff in Translation](https://aclanthology.org/2024.acl-short.9/) *— 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?](https://aclanthology.org/2024.wmt-1.38/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
28. [The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities](https://aclanthology.org/2024.acl-long.336/) *— 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](https://aclanthology.org/2024.emnlp-main.891/) *— 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)](https://arxiv.org/abs/2412.18367) *— 2024 · arXiv:2412.18367*
31. [Towards Large Language Model driven Reference-less Translation Evaluation for English and Indian Languages](https://arxiv.org/abs/2404.02512) *— 2024 · arXiv:2404.02512*
32. [Towards Multiple References Era – Addressing Data Leakage and Limited Reference Diversity in Machine Translation Evaluation](https://aclanthology.org/2024.findings-acl.710/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
33. [Towards Precise Localization of Critical Errors in Machine Translation](https://aclanthology.org/2024.findings-acl.177/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
34. [Towards a More Comprehensive Evaluation for Italian LLMs](https://aclanthology.org/2024.clicit-1.67/) *— 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)*
35. [TransAgents: Build Your Translation Company with Language Agents](https://aclanthology.org/2024.emnlp-demo.14/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
36. [What Have We Achieved on Non-autoregressive Translation?](https://aclanthology.org/2024.findings-acl.452/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
37. [Word-level Translation Quality Estimation Based on Optimal Transport](https://aclanthology.org/2024.amta-research.18/) *— 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](https://arxiv.org/abs/2403.02370) *— 2024 · arXiv:2403.02370 · Information 2023, 14(12), 638*
39. [chrF-S: Semantics Is All You Need](https://aclanthology.org/2024.wmt-1.33/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
40. [xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection](https://aclanthology.org/2024.tacl-1.54/) *— 2024 · Transactions of the Association for Computational Linguistics*
41. [A Critical Evaluation of Evaluations for Long-form Question Answering](https://aclanthology.org/2023.acl-long.181/) *— 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](https://aclanthology.org/2023.clicit-1.24/) *— 2023 · Proceedings of the Ninth Italian Conference on Computational Linguistics (CLiC-it 2023)*
43. [Are Experts Needed? On Human Evaluation of Counselling Reflection Generation](https://aclanthology.org/2023.acl-long.382/) *— 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](https://arxiv.org/abs/2310.00367) *— 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](https://arxiv.org/abs/2309.06085) *— 2023 · arXiv:2309.06085*
46. [Barriers and enabling factors for error analysis in NLG research](https://nejlt.ep.liu.se/article/view/4529) *— 2023 · Northern European Journal of Language Technology*
47. [Beyond Correlation: Making Sense of the Score Differences of New MT Evaluation Metrics](https://aclanthology.org/2023.mtsummit-research.16/) *— 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](https://arxiv.org/abs/2310.00785) *— 2023 · arXiv:2310.00785*
49. [Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation](https://aclanthology.org/2023.tacl-1.92/) *— 2023*
50. [C-XNLI: Croatian Extension of XNLI Dataset](https://aclanthology.org/2023.findings-acl.142/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
51. [CCEval: A Representative Evaluation Benchmark for the Chinese-centric Multilingual Machine Translation](https://aclanthology.org/2023.findings-emnlp.682/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
52. [Dancing Between Success and Failure: Edit-level Simplification Evaluation using SALSA](https://aclanthology.org/2023.emnlp-main.211/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
53. [DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence](https://aclanthology.org/2023.eacl-main.278/) *— 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](https://aclanthology.org/2023.eacl-main.33/) *— 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](https://aclanthology.org/2023.eamt-1.12/) *— 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](https://aclanthology.org/2023.findings-emnlp.617/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
57. [Evaluating Optimal Reference Translations](https://arxiv.org/abs/2311.16787) *— 2023 · arXiv:2311.16787*
58. [EvolveMT: an Ensemble MT Engine Improving Itself with Usage Only](https://aclanthology.org/2023.acl-industry.33/) *— 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](https://aclanthology.org/2023.emnlp-main.690/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
60. [Extrinsic Evaluation of Machine Translation Metrics](https://aclanthology.org/2023.acl-long.730/) *— 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](https://aclanthology.org/2023.iwslt-1.1/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
62. [FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation](https://aclanthology.org/2023.tacl-1.39/) *— 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](https://aclanthology.org/2023.wmt-1.1/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
64. [Findings of the WMT 2023 Shared Task on Quality Estimation](https://aclanthology.org/2023.wmt-1.52/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
65. [GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4](https://aclanthology.org/2023.wmt-1.64/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
66. [GPTScore: Evaluate as You Desire](https://arxiv.org/abs/2302.04166) *— 2023 · arXiv:2302.04166*
67. [How effective is machine translation on low-resource code-switching? A case study comparing human and automatic metrics](https://aclanthology.org/2023.findings-acl.893/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
68. [INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback](https://aclanthology.org/2023.emnlp-main.365/) *— 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](https://aclanthology.org/2023.wmt-1.76/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
70. [IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation Metrics for Indian Languages](https://aclanthology.org/2023.acl-long.795/) *— 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](https://aclanthology.org/2023.jeptalnrecital-rjc.10/) *— 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](https://aclanthology.org/2023.eamt-1.19/) *— 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](https://aclanthology.org/2023.wmt-1.41/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
74. [Leveraging GPT-4 for Automatic Translation Post-Editing](https://aclanthology.org/2023.findings-emnlp.804/) *— 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](https://arxiv.org/abs/2309.10966) *— 2023 · arXiv:2309.10966*
76. [MMT's Submission for the WMT 2023 Quality Estimation Shared Task](https://aclanthology.org/2023.wmt-1.75/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
77. [MetricX-23: The Google Submission to the WMT 2023 Metrics Shared Task](https://aclanthology.org/2023.wmt-1.63/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
78. [Multi-domain Summarization from Leaderboards to Practice: Re-examining Automatic and Human Evaluation](https://aclanthology.org/2023.gem-1.20/) *— 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](https://aclanthology.org/2023.acl-long.69/) *— 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](https://aclanthology.org/2023.cl-2.3/) *— 2023 · Computational Linguistics*
81. [One Embedder, Any Task: Instruction-Finetuned Text Embeddings](https://aclanthology.org/2023.findings-acl.71/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
82. [PE effort and neural-based automatic MT metrics: do they correlate?](https://aclanthology.org/2023.eamt-1.31/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
83. [PaLM 2 Technical Report](https://arxiv.org/abs/2305.10403) *— 2023 · arXiv:2305.10403*
84. [ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback](https://aclanthology.org/2023.findings-emnlp.1001/) *— 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](https://aclanthology.org/2023.emnlp-main.712/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
86. [Prompting PaLM for Translation: Assessing Strategies and Performance](https://aclanthology.org/2023.acl-long.859/) *— 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](https://aclanthology.org/2023.wmt-1.51/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
88. [Rethinking the Word-level Quality Estimation for Machine Translation from Human Judgement](https://aclanthology.org/2023.findings-acl.126/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
89. [Reward Gaming in Conditional Text Generation](https://aclanthology.org/2023.acl-long.262/) *— 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](https://aclanthology.org/2023.emnlp-main.584/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
91. [SESCORE2: Learning Text Generation Evaluation via Synthesizing Realistic Mistakes](https://aclanthology.org/2023.acl-long.283/) *— 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](https://aclanthology.org/2023.ranlp-1.47/) *— 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing*
93. [T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics](https://aclanthology.org/2023.findings-emnlp.1014/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
94. [TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks](https://arxiv.org/abs/2310.00752) *— 2023 · arXiv:2310.00752*
95. [Team NLLG submission for Eval4NLP 2023 Shared Task: Retrieval-Augmented In-Context Learning for NLG Evaluation](https://aclanthology.org/2023.eval4nlp-1.19/) *— 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems*
96. [Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization](https://aclanthology.org/2023.acl-long.47/) *— 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](https://aclanthology.org/2023.acl-long.529/) *— 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](https://aclanthology.org/2023.wmt-1.100/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
99. [The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics](https://aclanthology.org/2023.eval4nlp-1.10/) *— 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems*
100. [The MT@BZ corpus: machine translation & legal language](https://aclanthology.org/2023.eamt-1.17/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*

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