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home / docs / papers / cited-by / Who cites «Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust» · page 2

Who cites «Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust» · page 2

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

Pages: 1 · 2 · 3

  1. Improving Minimum Bayes Risk Decoding with Multi-Prompt — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  2. Improving Statistical Significance in Human Evaluation of Automatic Metrics via Soft Pairwise Accuracy — 2024 · Proceedings of the Ninth Conference on Machine Translation
  3. Is Context Helpful for Chat Translation Evaluation? — 2024 · arXiv:2403.08314
  4. Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis — 2024 · Proceedings of the Ninth Conference on Machine Translation
  5. Iterative Translation Refinement with Large Language Models — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
  6. LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  7. 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
  8. Leveraging Large Language Models for NLG Evaluation: Advances and Challenges — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  9. 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
  10. MT-Ranker: Reference-free machine translation evaluation by inter-system ranking — 2024 · arXiv:2401.17099
  11. MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration — 2024 · Proceedings of the Ninth Conference on Machine Translation
  12. MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences — 2024 · arXiv:2410.02381
  13. 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)
  14. NAIST-SIC-Aligned: An Aligned English-Japanese Simultaneous Interpretation Corpus — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  15. 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)
  16. Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  17. Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  18. 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)
  19. Pitfalls and Outlooks in Using COMET — 2024 · Proceedings of the Ninth Conference on Machine Translation
  20. PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  21. 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)
  22. Prompting ChatGPT for Translation: A Comparative Analysis of Translation Brief and Persona Prompts — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
  23. Quality Estimation with $k$-nearest Neighbors and Automatic Evaluation for Model-specific Quality Estimation — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
  24. 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
  25. 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)
  26. Revisiting Meta-evaluation for Grammatical Error Correction — 2024
  27. Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  28. SCALE: Synergized Collaboration of Asymmetric Language Translation Engines — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  29. SLIDE: Reference-free Evaluation for Machine Translation using a Sliding Document Window — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)
  30. Sign Language Translation with Sentence Embedding Supervision — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  31. Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling — 2024 · arXiv:2410.11325
  32. Speech Translation with Speech Foundation Models and Large Language Models: What is There and What is Missing? — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  33. TAeKD: Teacher Assistant Enhanced Knowledge Distillation for Closed-Source Multilingual Neural Machine Translation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  34. Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  35. The Effects of Pretraining in Video-Guided Machine Translation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  36. The Multi-Range Theory of Translation Quality Measurement: MQM scoring models and Statistical Quality Control — 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 2: Presentations)
  37. 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
  38. chrF-S: Semantics Is All You Need — 2024 · Proceedings of the Ninth Conference on Machine Translation
  39. xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  40. xTower: A Multilingual LLM for Explaining and Correcting Translation Errors — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  41. A Benchmark for Evaluating Machine Translation Metrics on Dialects Without Standard Orthography — 2023 · arXiv:2311.16865
  42. A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models — 2023 · arXiv:2309.11674
  43. A Study on the Effectiveness of Large Language Models for Translation with Markup — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
  44. ACES: Translation Accuracy Challenge Sets at WMT 2023 — 2023 · Proceedings of the Eighth Conference on Machine Translation
  45. 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
  46. An Empirical Study of Translation Hypothesis Ensembling with Large Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  47. Augmenting Large Language Model Translators via Translation Memories — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  48. BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models — 2023 · arXiv:2309.06085
  49. Benchmarking Procedural Language Understanding for Low-Resource Languages: A Case Study on Turkish — 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  50. Beyond Correlation: Making Sense of the Score Differences of New MT Evaluation Metrics — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
  51. Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation — 2023 · arXiv:2303.15265
  52. Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation — 2023
  53. CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  54. Challenging the State-of-the-art Machine Translation Metrics from a Linguistic Perspective — 2023 · Proceedings of the Eighth Conference on Machine Translation
  55. Code-Switching with Word Senses for Pretraining in Neural Machine Translation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  56. CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  57. Cometoid: Distilling Strong Reference-based Machine Translation Metrics into Even Stronger Quality Estimation Metrics — 2023 · Proceedings of the Eighth Conference on Machine Translation
  58. Data Sampling and (In)stability in Machine Translation Evaluation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  59. Dissecting In-Context Learning of Translations in GPT-3 — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  60. EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation Metrics — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  61. Empowering a Metric with LLM-assisted Named Entity Annotation: HW-TSC''s Submission to the WMT23 Metrics Shared Task — 2023 · Proceedings of the Eighth Conference on Machine Translation
  62. Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  63. EvaHan2023: Overview of the First International Ancient Chinese Translation Bakeoff — 2023 · Proceedings of ALT2023: Ancient Language Translation Workshop
  64. Evaluating Optimal Reference Translations — 2023 · arXiv:2311.16787
  65. Evaluating and Improving the Coreference Capabilities of Machine Translation Models — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  66. 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
  67. Exploring Context-Aware Evaluation Metrics for Machine Translation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  68. GATITOS: Using a New Multilingual Lexicon for Low-resource Machine Translation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  69. GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4 — 2023 · Proceedings of the Eighth Conference on Machine Translation
  70. ICE-Score: Instructing Large Language Models to Evaluate Code — 2023 · arXiv:2304.14317
  71. INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  72. Improved Pseudo Data for Machine Translation Quality Estimation with Constrained Beam Search — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  73. IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages — 2023 · arXiv:2305.16307
  74. JWSign: A Highly Multilingual Corpus of Bible Translations for more Diversity in Sign Language Processing — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  75. KG-IQES: An Interpretable Quality Estimation System for Machine Translation Based on Knowledge Graph — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track
  76. 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
  77. Little Giants: Exploring the Potential of Small LLMs as Evaluation Metrics in Summarization in the Eval4NLP 2023 Shared Task — 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems
  78. MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods — 2023 · arXiv:2309.10966
  79. MEE4 and XLsim : IIIT HYD''s Submissions'' for WMT23 Metrics Shared Task — 2023 · Proceedings of the Eighth Conference on Machine Translation
  80. MT Metrics Correlate with Human Ratings of Simultaneous Speech Translation — 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)
  81. Metric Score Landscape Challenge (MSLC23): Understanding Metrics'' Performance on a Wider Landscape of Translation Quality — 2023 · Proceedings of the Eighth Conference on Machine Translation
  82. MetricX-23: The Google Submission to the WMT 2023 Metrics Shared Task — 2023 · Proceedings of the Eighth Conference on Machine Translation
  83. Overview of the Second Shared Task on Automatic Minuting (AutoMin) at INLG 2023 — 2023 · Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges
  84. 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
  85. PaLM 2 Technical Report — 2023 · arXiv:2305.10403
  86. 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
  87. Pulling Out All The Full Stops: Punctuation Sensitivity in Neural Machine Translation and Evaluation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  88. Quality Estimation Using Minimum Bayes Risk — 2023 · Proceedings of the Eighth Conference on Machine Translation
  89. Reference-Free Summarization Evaluation with Large Language Models — 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems
  90. Reinforced Self-Training (ReST) for Language Modeling — 2023 · arXiv:2308.08998
  91. Reranking for Natural Language Generation from Logical Forms: A Study based on Large Language Models — 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  92. Semantically-Informed Regressive Encoder Score — 2023 · Proceedings of the Eighth Conference on Machine Translation
  93. Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models — 2023 · arXiv:2304.01852 · Meta-Radiology (2023)100017
  94. TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks — 2023 · arXiv:2310.00752
  95. 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
  96. 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
  97. 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)
  98. The Role of Compounds in Human vs. Machine Translation Quality — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
  99. There''s No Data like Better Data: Using QE Metrics for MT Data Filtering — 2023 · Proceedings of the Eighth Conference on Machine Translation
  100. 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

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