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

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  1. BiVert: Bidirectional Vocabulary Evaluation Using Relations for Machine Translation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  2. 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)
  3. Calibrating LLM-Based Evaluator — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  4. Can Automatic Metrics Assess High-Quality Translations? — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  5. CantonMT: Cantonese-English Neural Machine Translation Looking into Evaluations — 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 2: Presentations)
  6. Context-Aware Machine Translation with Source Coreference Explanation — 2024
  7. Cultural Adaptation of Recipes — 2024 · Transactions of the Association for Computational Linguistics
  8. 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)
  9. Efficient Benchmarking (of 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)
  10. Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  11. Evaluating Automatic Metrics with Incremental Machine Translation Systems — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  12. Evaluating the IWSLT2023 Speech Translation Tasks: Human Annotations, Automatic Metrics, and Segmentation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  13. Exploring Human-Like Translation Strategy with Large Language Models — 2024 · Transactions of the Association for Computational Linguistics
  14. Favi-Score: A Measure for Favoritism in Automated Preference Ratings for Generative AI Evaluation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  15. 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)
  16. 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)
  17. Fixing Rogue Memorization in Many-to-One Multilingual Translators of Extremely-Low-Resource Languages by Rephrasing Training Samples — 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. From General LLM to Translation: How We Dramatically Improve Translation Quality Using Human Evaluation Data for LLM Finetuning — 2024 · Proceedings of the Ninth Conference on Machine Translation
  19. GPT-4 vs. Human Translators: A Comprehensive Evaluation of Translation Quality Across Languages, Domains, and Expertise Levels — 2024 · arXiv:2407.03658
  20. 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)
  21. HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  22. How Effective Are State Space Models for Machine Translation? — 2024 · Proceedings of the Ninth Conference on Machine Translation
  23. Human-Centered Design Recommendations for LLM-as-a-judge — 2024 · Proceedings of the 1st Human-Centered Large Language Modeling Workshop
  24. Impacts of Misspelled Queries on Translation and Product Search — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  25. Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  26. Improving Minimum Bayes Risk Decoding with Multi-Prompt — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  27. Improving NMT from a Low-Resource Source Language: A Use Case from Catalan to Chinese via Spanish — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
  28. Improving Statistical Significance in Human Evaluation of Automatic Metrics via Soft Pairwise Accuracy — 2024 · Proceedings of the Ninth Conference on Machine Translation
  29. Is Context Helpful for Chat Translation Evaluation? — 2024 · arXiv:2403.08314
  30. Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis — 2024 · Proceedings of the Ninth Conference on Machine Translation
  31. Iterative Translation Refinement with Large Language Models — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
  32. LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  33. 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
  34. Leveraging Large Language Models for NLG Evaluation: Advances and Challenges — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  35. 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
  36. MT-Ranker: Reference-free machine translation evaluation by inter-system ranking — 2024 · arXiv:2401.17099
  37. MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration — 2024 · Proceedings of the Ninth Conference on Machine Translation
  38. MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences — 2024 · arXiv:2410.02381
  39. 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)
  40. 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)
  41. 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)
  42. Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  43. Non-Autoregressive Machine Translation as Constrained HMM — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  44. 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)
  45. 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)
  46. Pitfalls and Outlooks in Using COMET — 2024 · Proceedings of the Ninth Conference on Machine Translation
  47. 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
  48. 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)
  49. 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)
  50. 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)
  51. 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
  52. 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)
  53. Recent Highlights in Multilingual and Multimodal Speech Translation — 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)
  54. Revisiting Meta-evaluation for Grammatical Error Correction — 2024
  55. Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  56. SCALE: Synergized Collaboration of Asymmetric Language Translation Engines — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  57. 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)
  58. Sign Language Translation with Sentence Embedding Supervision — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  59. Sing it, Narrate it: Quality Musical Lyrics Translation — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  60. Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling — 2024 · arXiv:2410.11325
  61. 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)
  62. 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)
  63. Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  64. 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)
  65. 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)
  66. 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)
  67. 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
  68. Tweak to Trust: Assessing the Reliability of Summarization Metrics in Contact Centers via Perturbed Summaries — 2024 · Proceedings of the 4th Workshop on Trustworthy Natural Language Processing (TrustNLP 2024)
  69. What Have We Achieved on Non-autoregressive Translation? — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  70. chrF-S: Semantics Is All You Need — 2024 · Proceedings of the Ninth Conference on Machine Translation
  71. 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
  72. xTower: A Multilingual LLM for Explaining and Correcting Translation Errors — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  73. A Benchmark for Evaluating Machine Translation Metrics on Dialects Without Standard Orthography — 2023 · arXiv:2311.16865
  74. A Context-Aware Annotation Framework for Customer Support Live Chat Machine Translation — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
  75. A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models — 2023 · arXiv:2309.11674
  76. A Research-Based Guide for the Creation and Deployment of a Low-Resource Machine Translation System — 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing
  77. A Study on the Effectiveness of Large Language Models for Translation with Markup — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
  78. ACES: Translation Accuracy Challenge Sets at WMT 2023 — 2023 · Proceedings of the Eighth Conference on Machine Translation
  79. 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
  80. An Empirical Study of Translation Hypothesis Ensembling with Large Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  81. Augmenting Large Language Model Translators via Translation Memories — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  82. BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models — 2023 · arXiv:2309.06085
  83. 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)
  84. Beyond Correlation: Making Sense of the Score Differences of New MT Evaluation Metrics — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
  85. Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation — 2023 · arXiv:2303.15265
  86. Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation — 2023
  87. CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  88. Challenging the State-of-the-art Machine Translation Metrics from a Linguistic Perspective — 2023 · Proceedings of the Eighth Conference on Machine Translation
  89. Code-Switching with Word Senses for Pretraining in Neural Machine Translation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  90. CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  91. Cometoid: Distilling Strong Reference-based Machine Translation Metrics into Even Stronger Quality Estimation Metrics — 2023 · Proceedings of the Eighth Conference on Machine Translation
  92. Data Sampling and (In)stability in Machine Translation Evaluation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  93. Dissecting In-Context Learning of Translations in GPT-3 — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  94. EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation Metrics — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  95. 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
  96. Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  97. EvaHan2023: Overview of the First International Ancient Chinese Translation Bakeoff — 2023 · Proceedings of ALT2023: Ancient Language Translation Workshop
  98. Evaluating Optimal Reference Translations — 2023 · arXiv:2311.16787
  99. 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
  100. 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

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