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Who cites «COMET: A Neural Framework for MT Evaluation» · page 8

1167 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

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  1. Prompting Large Language Models for Idiomatic Translation — 2024 · Proceedings of the 1st Workshop on Creative-text Translation and Technology
  2. Prompting Large Language Models with Human Error Markings for Self-Correcting Machine Translation — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
  3. PyMarian: Fast Neural Machine Translation and Evaluation in Python — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
  4. 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
  5. 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)
  6. REFeREE: A REference-FREE Model-Based Metric for Text Simplification — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  7. Recent Highlights in Multilingual and Multimodal Speech Translation — 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)
  8. Recovering document annotations for sentence-level bitext — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  9. RepEval: Effective Text Evaluation with LLM Representation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  10. 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
  11. ReproHum \#0892-01: The painful route to consistent results: A reproduction study of human evaluation in NLG — 2024 · Proceedings of the Fourth Workshop on Human Evaluation of NLP Systems (HumEval) @ LREC-COLING 2024
  12. Reranking Laws for Language Generation: A Communication-Theoretic Perspective — 2024 · arXiv:2409.07131
  13. Revisiting Demonstration Selection Strategies in In-Context Learning — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  14. RoMantra: Optimizing Neural Machine Translation for Low-Resource Languages through Romanization — 2024 · Proceedings of the 21st International Conference on Natural Language Processing (ICON)
  15. Robust Guidance for Unsupervised Data Selection: Capturing Perplexing Named Entities for Domain-Specific Machine Translation — 2024 · Proceedings of the 3rd Annual Meeting of the Special Interest Group on Under-resourced Languages @ LREC-COLING 2024
  16. Réduction des répétitions dans la Traduction Automatique Neuronale — 2024 · Actes de la 31ème Conférence sur le Traitement Automatique des Langues Naturelles, volume 1 : articles longs et prises de position
  17. SCALE: Synergized Collaboration of Asymmetric Language Translation Engines — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  18. SCIR-MT's Submission for WMT24 General Machine Translation Task — 2024 · Proceedings of the Ninth Conference on Machine Translation
  19. Self-Modifying State Modeling for Simultaneous Machine Translation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  20. Sequence Shortening for Context-Aware Machine Translation — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
  21. Should Cross-Lingual AMR Parsing go Meta? An Empirical Assessment of Meta-Learning and Joint Learning AMR Parsing — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  22. Simplifying Translations for Children: Iterative Simplification Considering Age of Acquisition with LLMs — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  23. Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  24. Simul-MuST-C: Simultaneous Multilingual Speech Translation Corpus Using Large Language Model — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  25. Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Pair — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  26. Simultaneous Machine Translation with Large Language Models — 2024 · Proceedings of the 22nd Annual Workshop of the Australasian Language Technology Association
  27. Some Tradeoffs in Continual Learning for Parliamentary Neural Machine Translation Systems — 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
  28. Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling — 2024 · arXiv:2410.11325
  29. SpeechQE: Estimating the Quality of Direct Speech Translation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  30. Task Arithmetic for Language Expansion in Speech Translation — 2024 · arXiv:2409.11274
  31. Teaching Large Language Models to Translate on Low-resource Languages with Textbook Prompting — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  32. Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  33. 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)
  34. 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)
  35. The SETU-ADAPT Submissions to WMT 2024 Chat Translation Tasks — 2024 · Proceedings of the Ninth Conference on Machine Translation
  36. The SETU-ADAPT Submissions to the WMT24 Low-Resource Indic Language Translation Task — 2024 · Proceedings of the Ninth Conference on Machine Translation
  37. The SETU-DCU Submissions to IWSLT 2024 Low-Resource Speech-to-Text Translation Tasks — 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)
  38. The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs — 2024 · Proceedings of the 5th Workshop on Gender Bias in Natural Language Processing (GeBNLP)
  39. 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
  40. Tokenisation in Machine Translation Does Matter: The impact of different tokenisation approaches for Maltese — 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)
  41. Toucan: Many-to-Many Translation for 150 African Language Pairs — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  42. Towards Achieving Human Parity on End-to-end Simultaneous Speech Translation via LLM Agent — 2024 · arXiv:2407.21646
  43. Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  44. Towards Demonstration-Aware Large Language Models for Machine Translation — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  45. Towards Global AI Inclusivity: A Large-Scale Multilingual Terminology Dataset (GIST) — 2024 · arXiv:2412.18367
  46. Towards Large Language Model driven Reference-less Translation Evaluation for English and Indian Languages — 2024 · arXiv:2404.02512
  47. 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
  48. Towards Tailored Recovery of Lexical Diversity in Literary Machine Translation — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
  49. Translate your Own: a Post-Editing Experiment in the NLP domain — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
  50. Translate-and-Revise: Boosting Large Language Models for Constrained Translation — 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)
  51. Translation of Multifaceted Data without Re-Training of Machine Translation Systems — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  52. Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages — 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)
  53. Understanding How Positional Encodings Work in Transformer Model — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  54. Using a multilingual literary parallel corpus to train NMT systems — 2024 · Proceedings of the 1st Workshop on Creative-text Translation and Technology
  55. Utilizing Longer Context than Speech Bubbles in Automated Manga Translation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  56. UvA-MT's Participation in the WMT24 General Translation Shared Task — 2024 · Proceedings of the Ninth Conference on Machine Translation
  57. WaterJudge: Quality-Detection Trade-off when Watermarking Large Language Models — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  58. What Have We Achieved on Non-autoregressive Translation? — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  59. What do Large Language Models Need for Machine Translation Evaluation? — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  60. What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  61. When Does Monolingual Data Help Multilingual Translation: The Role of Domain and Model Scale — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  62. Word Order in English-Japanese Simultaneous Interpretation: Analyses and Evaluation using Chunk-wise Monotonic Translation — 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)
  63. mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  64. mbrs: A Library for Minimum Bayes Risk Decoding — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
  65. xTower: A Multilingual LLM for Explaining and Correcting Translation Errors — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  66. Étude sur la normalisation lexicale de contenus produits par les utilisateurs [A Study on the Lexical Normalisation of User-Generated Content] — 2024
  67. 融合确定性因子及区域密度的k-最近邻机器翻译方法(A k-Nearest-Neighbor Machine Translation Method Combining Certainty Factor and Region Density) — 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)
  68. A Benchmark for Evaluating Machine Translation Metrics on Dialects Without Standard Orthography — 2023 · arXiv:2311.16865
  69. A Call for Standardization and Validation of Text Style Transfer Evaluation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  70. A Case Study on Context Encoding in Multi-Encoder based Document-Level Neural Machine Translation — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
  71. A Context-Aware Annotation Framework for Customer Support Live Chat Machine Translation — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
  72. A Holistic Approach to Reference-Free Evaluation of Machine Translation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  73. 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
  74. A Study on the Effectiveness of Large Language Models for Translation with Markup — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
  75. A Survey on Zero Pronoun Translation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  76. ACES: Translation Accuracy Challenge Sets at WMT 2023 — 2023 · Proceedings of the Eighth Conference on Machine Translation
  77. 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
  78. An Empirical Study of Translation Hypothesis Ensembling with Large Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  79. Asking Clarification Questions to Handle Ambiguity in Open-Domain QA — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  80. Assessing the Importance of Frequency versus Compositionality for Subword-based Tokenization in NMT — 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation
  81. Automatic Discrimination of Human and Neural Machine Translation in Multilingual Scenarios — 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation
  82. Automating Behavioral Testing in Machine Translation — 2023 · Proceedings of the Eighth Conference on Machine Translation
  83. BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models — 2023 · arXiv:2309.06085
  84. BLASER: A Text-Free Speech-to-Speech Translation Evaluation Metric — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  85. BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  86. Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation — 2023 · arXiv:2305.15011
  87. Bad MT Systems are Good for Quality Estimation — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
  88. Benchmarking Foundation Models with Language-Model-as-an-Examiner — 2023 · arXiv:2306.04181
  89. Benchmarking Machine Translation with Cultural Awareness — 2023 · arXiv:2305.14328
  90. 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)
  91. Best-k Search Algorithm for Neural Text Generation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  92. Beyond Correlation: Making Sense of the Score Differences of New MT Evaluation Metrics — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
  93. Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  94. BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine Translation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  95. Breeding Machine Translations: Evolutionary approach to survive and thrive in the world of automated evaluation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  96. Bridging the Domain Gaps in Context Representations for $k$-Nearest Neighbor Neural Machine Translation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  97. Bridging the Gap between Position-Based and Content-Based Self-Attention for Neural Machine Translation — 2023 · Proceedings of the Eighth Conference on Machine Translation
  98. Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation — 2023
  99. CKDST: Comprehensively and Effectively Distill Knowledge from Machine Translation to End-to-End Speech Translation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  100. CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023

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