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Who cites «COMET: A Neural Framework for MT Evaluation» · page 6

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

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  1. Toucan: Many-to-Many Translation for 150 African Language Pairs — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  2. Towards Achieving Human Parity on End-to-end Simultaneous Speech Translation via LLM Agent — 2024 · arXiv:2407.21646
  3. 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
  4. Towards Demonstration-Aware Large Language Models for Machine Translation — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  5. Towards Large Language Model driven Reference-less Translation Evaluation for English and Indian Languages — 2024 · arXiv:2404.02512
  6. 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
  7. 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)
  8. 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)
  9. 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)
  10. WaterJudge: Quality-Detection Trade-off when Watermarking Large Language Models — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  11. What do Large Language Models Need for Machine Translation Evaluation? — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  12. 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
  13. 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)
  14. 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)
  15. mbrs: A Library for Minimum Bayes Risk Decoding — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
  16. xTower: A Multilingual LLM for Explaining and Correcting Translation Errors — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  17. 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)
  18. A Benchmark for Evaluating Machine Translation Metrics on Dialects Without Standard Orthography — 2023 · arXiv:2311.16865
  19. A Call for Standardization and Validation of Text Style Transfer Evaluation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  20. 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)
  21. A Study on the Effectiveness of Large Language Models for Translation with Markup — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
  22. A Survey on Zero Pronoun Translation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  23. ACES: Translation Accuracy Challenge Sets at WMT 2023 — 2023 · Proceedings of the Eighth Conference on Machine Translation
  24. 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
  25. An Empirical Study of Translation Hypothesis Ensembling with Large Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  26. Asking Clarification Questions to Handle Ambiguity in Open-Domain QA — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  27. 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
  28. 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
  29. Automating Behavioral Testing in Machine Translation — 2023 · Proceedings of the Eighth Conference on Machine Translation
  30. BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models — 2023 · arXiv:2309.06085
  31. 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)
  32. 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)
  33. Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation — 2023 · arXiv:2305.15011
  34. Bad MT Systems are Good for Quality Estimation — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
  35. Benchmarking Foundation Models with Language-Model-as-an-Examiner — 2023 · arXiv:2306.04181
  36. Benchmarking Machine Translation with Cultural Awareness — 2023 · arXiv:2305.14328
  37. 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)
  38. 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)
  39. Beyond Correlation: Making Sense of the Score Differences of New MT Evaluation Metrics — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
  40. 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
  41. BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine Translation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  42. 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)
  43. 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)
  44. Bridging the Gap between Position-Based and Content-Based Self-Attention for Neural Machine Translation — 2023 · Proceedings of the Eighth Conference on Machine Translation
  45. Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation — 2023
  46. 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
  47. CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  48. CUNI at WMT23 General Translation Task: MT and a Genetic Algorithm — 2023 · Proceedings of the Eighth Conference on Machine Translation
  49. Challenges in Context-Aware Neural Machine Translation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  50. Challenging the State-of-the-art Machine Translation Metrics from a Linguistic Perspective — 2023 · Proceedings of the Eighth Conference on Machine Translation
  51. ChatGPT MT: Competitive for High- (but Not Low-) Resource Languages — 2023 · Proceedings of the Eighth Conference on Machine Translation
  52. Cometoid: Distilling Strong Reference-based Machine Translation Metrics into Even Stronger Quality Estimation Metrics — 2023 · Proceedings of the Eighth Conference on Machine Translation
  53. Considerations for meaningful sign language machine translation based on glosses — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  54. Dancing Between Success and Failure: Edit-level Simplification Evaluation using SALSA — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  55. Data Sampling and (In)stability in Machine Translation Evaluation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  56. Dialect-robust Evaluation of Generated Text — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  57. 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
  58. Discourse Centric Evaluation of Machine Translation with a Densely Annotated Parallel Corpus — 2023 · arXiv:2305.11142 · ACL 2023
  59. Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  60. Dissecting In-Context Learning of Translations in GPT-3 — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  61. Do GPTs Produce Less Literal Translations? — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  62. Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  63. 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
  64. Document-Level Language Models for Machine Translation — 2023 · Proceedings of the Eighth Conference on Machine Translation
  65. Document-Level Machine Translation with Large Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  66. Domain Adaptation for Arabic Machine Translation: The Case of Financial Texts — 2023 · arXiv:2309.12863
  67. Domain Terminology Integration into Machine Translation: Leveraging Large Language Models — 2023 · Proceedings of the Eighth Conference on Machine Translation
  68. Dubbing in Practice: A Large Scale Study of Human Localization With Insights for Automatic Dubbing — 2023 · Transactions of the Association for Computational Linguistics
  69. EEL: Efficiently Encoding Lattices for Reranking — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  70. EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation Metrics — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  71. Element-aware Summarization with Large Language Models: Expert-aligned Evaluation and Chain-of-Thought Method — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  72. Empirical Analysis of Beam Search Curse and Search Errors with Model Errors in Neural Machine Translation — 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation
  73. 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
  74. Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  75. Evaluating Large Language Models' Understanding of Financial Terminology via Definition Modeling — 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: Student Research Workshop
  76. Evaluating Machine Translation Quality with Conformal Predictive Distributions — 2023 · arXiv:2306.01549
  77. Evaluating Multilingual Speech Translation under Realistic Conditions with Resegmentation and Terminology — 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)
  78. 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
  79. Evaluating the Efficacy of Length-Controllable Machine Translation — 2023 · arXiv:2305.02300
  80. 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
  81. Exploring All-In-One Knowledge Distillation Framework for Neural Machine Translation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  82. Exploring Better Text Image Translation with Multimodal Codebook — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  83. Exploring Context-Aware Evaluation Metrics for Machine Translation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  84. Exploring Paracrawl for Document-level Neural Machine Translation — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  85. Extract and Attend: Improving Entity Translation in Neural Machine Translation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  86. Extrapolating Large Language Models to Non-English by Aligning Languages — 2023 · arXiv:2308.04948
  87. Extrinsic Evaluation of Machine Translation Metrics — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  88. FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN — 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)
  89. Faster Minimum Bayes Risk Decoding with Confidence-based Pruning — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  90. 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
  91. Findings of the WMT 2023 Shared Task on Discourse-Level Literary Translation: A Fresh Orb in the Cosmos of LLMs — 2023 · Proceedings of the Eighth Conference on Machine Translation
  92. Findings of the WMT 2023 Shared Task on Machine Translation with Terminologies — 2023 · Proceedings of the Eighth Conference on Machine Translation
  93. GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4 — 2023 · Proceedings of the Eighth Conference on Machine Translation
  94. GPTScore: Evaluate as You Desire — 2023 · arXiv:2302.04166
  95. Gender Biases in Automatic Evaluation Metrics for Image Captioning — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  96. Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges — 2023 · Proceedings of the First Workshop on Gender-Inclusive Translation Technologies
  97. Gradient-based Gradual Pruning for Language-Specific Multilingual Neural Machine Translation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  98. Grammatical Error Correction for Sentence-level Assessment in Language Learning — 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)
  99. HW-TSC 2023 Submission for the Quality Estimation Shared Task — 2023 · Proceedings of the Eighth Conference on Machine Translation
  100. HalOmi: A Manually Annotated Benchmark for Multilingual Hallucination and Omission Detection in Machine Translation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

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