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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 8

10821 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/papineni-2002-bleu-method-automatic-evaluation-machine/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-5/) · [6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-6/) · [7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-7/) · **8** · [9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-9/) · 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36. [LegalChainReasoner: A Legal Chain-guided Framework for Criminal Judicial Opinion Generation](https://arxiv.org/abs/2509.00783) *— 2025 · arXiv:2509.00783*
37. [LegalEval-Q: A New Benchmark for The Quality Evaluation of LLM-Generated Legal Text](https://arxiv.org/abs/2505.24826) *— 2025 · arXiv:2505.24826*
38. [Less is More: Selective Reflection for Compatible and Efficient Knowledge Distillation in Large Language Models](https://arxiv.org/abs/2508.06135) *— 2025 · arXiv:2508.06135*
39. [Let''s Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model](https://aclanthology.org/2025.coling-main.630/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
40. [Leveraging Visual Scene Graph to Enhance Translation Quality in Multimodal Machine Translation](https://aclanthology.org/2025.mtsummit-1.27/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
41. [LiTEx: A Linguistic Taxonomy of Explanations for Understanding Within-Label Variation in Natural Language Inference](https://aclanthology.org/2025.emnlp-main.1728/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
42. [LiTransProQA: An LLM-based Literary Translation Evaluation Metric with Professional Question Answering](https://aclanthology.org/2025.emnlp-main.1482/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
43. [Libra: Leveraging Temporal Images for Biomedical Radiology Analysis](https://aclanthology.org/2025.findings-acl.888/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
44. [Limitations of Religious Data and the Importance of the Target Domain: Towards Machine Translation for Guinea-Bissau Creole](https://aclanthology.org/2025.loresmt-1.17/) *— 2025 · Proceedings of the Eighth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2025)*
45. [LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluation](https://aclanthology.org/2025.coling-main.371/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
46. [Localizing and Mitigating Errors in Long-form Question Answering](https://aclanthology.org/2025.findings-acl.1049/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
47. [Long-context Reference-based MT Quality Estimation](https://aclanthology.org/2025.wmt-1.64/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
48. [Lost in Translation: Benchmarking Commercial Machine Translation Models for Dyslexic-Style Text](https://aclanthology.org/2025.findings-acl.708/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
49. [Low-Resource Interlinear Translation: Morphology-Enhanced Neural Models for Ancient Greek](https://aclanthology.org/2025.loreslm-1.11/) *— 2025 · Proceedings of the First Workshop on Language Models for Low-Resource Languages*
50. [M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis](https://aclanthology.org/2025.emnlp-main.128/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
51. [M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation Evaluation](https://aclanthology.org/2025.acl-long.351/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
52. [M2Lingual: Enhancing Multilingual, Multi-Turn Instruction Alignment in Large Language Models](https://aclanthology.org/2025.naacl-long.489/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
53. [MAATS: A Multi-Agent Automated Translation System Based on MQM Evaluation](https://arxiv.org/abs/2505.14848) *— 2025 · arXiv:2505.14848*
54. [MADial-Bench: Towards Real-world Evaluation of Memory-Augmented Dialogue Generation](https://aclanthology.org/2025.naacl-long.499/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
55. [MALLM: Multi-Agent Large Language Models Framework](https://aclanthology.org/2025.emnlp-demos.29/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
56. [MAS-LitEval : Multi-Agent System for Literary Translation Quality Assessment](https://arxiv.org/abs/2506.14199) *— 2025 · arXiv:2506.14199*
57. [MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows](https://aclanthology.org/2025.findings-naacl.127/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
58. [MCS-Bench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in Chinese Classical Studies](https://aclanthology.org/2025.acl-long.515/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
59. [MIRAGE-Bench: Automatic Multilingual Benchmark Arena for Retrieval-Augmented Generation Systems](https://aclanthology.org/2025.naacl-long.14/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
60. [MIT-10M: A Large Scale Parallel Corpus of Multilingual Image Translation](https://aclanthology.org/2025.coling-main.346/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
61. [MLGym: A New Framework and Benchmark for Advancing AI Research Agents](https://arxiv.org/abs/2502.14499) *— 2025 · arXiv:2502.14499*
62. [MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation Evaluators](https://aclanthology.org/2025.coling-main.374/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
63. [MQM-Chat: Multidimensional Quality Metrics for Chat Translation](https://aclanthology.org/2025.coling-main.221/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
64. [MQM-MSC: Enhancing Translation Quality Estimation Interpretability with Mask-Driven Self-Correction in Large Language Models](https://aclanthology.org/2025.ccl-1.67/) *— 2025 · Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)*
65. [MSLC25: Metric Performance on Low-Quality Machine Translation, Empty Strings, and Language Variants](https://aclanthology.org/2025.wmt-1.69/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
66. [MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning](https://aclanthology.org/2025.findings-emnlp.1015/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
67. [MT-RAIG: Novel Benchmark and Evaluation Framework for Retrieval-Augmented Insight Generation over Multiple Tables](https://aclanthology.org/2025.acl-long.1128/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
68. [MUSE: A Multimodal Conversational Recommendation Dataset with Scenario-Grounded User Profiles](https://aclanthology.org/2025.findings-acl.58/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
69. [Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets](https://aclanthology.org/2025.cl-1.4/) *— 2025 · Computational Linguistics*
70. [Machine Translation Metrics for Indigenous Languages Using Fine-tuned Semantic Embeddings](https://aclanthology.org/2025.americasnlp-1.11/) *— 2025 · Proceedings of the Fifth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)*
71. [Making Large Language Models into World Models with Precondition and Effect Knowledge](https://aclanthology.org/2025.coling-main.503/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
72. [MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors](https://aclanthology.org/2025.emnlp-main.11/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
73. [Measuring Faithfulness and Abstention: An Automated Pipeline for Evaluating LLM-Generated 3-ply Case-Based Legal Arguments](https://arxiv.org/abs/2506.00694) *— 2025 · arXiv:2506.00694*
74. [Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization](https://aclanthology.org/2025.findings-acl.1095/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
75. [Memory OS of AI Agent](https://aclanthology.org/2025.emnlp-main.1318/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
76. [Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation](https://arxiv.org/abs/2504.18012) *— 2025 · arXiv:2504.18012*
77. [Metaphor and Large Language Models: When Surface Features Matter More than Deep Understanding](https://aclanthology.org/2025.findings-acl.898/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
78. [MetricX-25 and GemSpanEval: Google Translate Submissions to the WMT25 Evaluation Shared Task](https://aclanthology.org/2025.wmt-1.70/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
79. [Middle-Layer Representation Alignment for Cross-Lingual Transfer in Fine-Tuned LLMs](https://aclanthology.org/2025.acl-long.778/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
80. [MilaNLP@Multilingual Counterspeech Generation: Evaluating Translation and Background Knowledge Filtering](https://aclanthology.org/2025.mcg-1.7/) *— 2025 · Proceedings of the First Workshop on Multilingual Counterspeech Generation*
81. [Minimum Bayes Risk Decoding for Error Span Detection in Reference-Free Automatic Machine Translation Evaluation](https://arxiv.org/abs/2512.07540) *— 2025 · arXiv:2512.07540*
82. [Mitigating Paraphrase Attacks on Machine-Text Detection via Paraphrase Inversion](https://aclanthology.org/2025.findings-acl.227/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
83. [MoVoC: Morphology-Aware Subword Construction for Ge'ez Script Languages](https://md.mova.elamur.ai/free/en/docs/papers/findings-2025-teklehaymanot-movoc-morphology-aware-subword-construction/) *— our card · 2025*
84. [MoVoC: Morphology-Aware Subword Construction for Geez Script Languages](https://arxiv.org/abs/2509.08812) *— 2025 · arXiv:2509.08812*
85. [MorphMark: Flexible Adaptive Watermarking for Large Language Models](https://aclanthology.org/2025.acl-long.240/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
86. [Movie101v2: Improved Movie Narration Benchmark](https://aclanthology.org/2025.acl-long.836/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
87. [MultiLoKo: a multilingual local knowledge benchmark for LLMs spanning 31 languages](https://arxiv.org/abs/2504.10356) *— 2025 · arXiv:2504.10356*
88. [MultiMSD: A Corpus for Multilingual Medical Text Simplification from Online Medical References](https://aclanthology.org/2025.findings-acl.481/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
89. [Multilingual Definition Modeling](https://aclanthology.org/2025.findings-acl.1328/) *— 2025 · Findings of ACL 2025 (Vienna)*
90. [Multilingual Dialogue Generation and Localization with Dialogue Act Scripting](https://aclanthology.org/2025.emnlp-main.1670/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
91. [Multilingual Pre-training Meets Supervised Neural Machine Translation: A Reproducible Evaluation on English–French and Finnish Translation](https://aclanthology.org/2025.ranlp-1.5/) *— 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era*
92. [Multimodal Machine Translation with Text-Image In-depth Questioning](https://aclanthology.org/2025.findings-acl.483/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
93. [Multimodal Neural Machine Translation: A Survey of the State of the Art](https://aclanthology.org/2025.emnlp-main.1125/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
94. [Myanmar XNLI: Building a Dataset and Exploring Low-resource Approaches to Natural Language Inference with Myanmar](https://arxiv.org/abs/2504.09645) *— 2025 · arXiv:2504.09645*
95. [NHK Submission to WAT 2025: Leveraging Preference Optimization for Article-level Japanese–English News Translation](https://aclanthology.org/2025.wat-1.9/) *— 2025 · Proceedings of the Twelfth Workshop on Asian Translation (WAT 2025)*
96. [NIT-Surat@L-Sum: A Semantic Retrieval-Based Framework for Summarizing Indian Judicial Documents](https://aclanthology.org/2025.justnlp-main.14/) *— 2025 · Proceedings of the 1st Workshop on NLP for Empowering Justice (JUST-NLP 2025)*
97. [Neural at ArchEHR-QA 2025: Agentic Prompt Optimization for Evidence-Grounded Clinical Question Answering](https://aclanthology.org/2025.bionlp-share.13/) *— 2025 · Proceedings of the 24th Workshop on Biomedical Language Processing (Shared Tasks)*
98. [Not all Hallucinations are Good to Throw Away When it Comes to Legal Abstractive Summarization](https://aclanthology.org/2025.naacl-long.275/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
99. [Nvidia-Nemo's WMT 2025 Metrics Shared Task Submission](https://aclanthology.org/2025.wmt-1.66/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
100. [NyayaAnumana and INLegalLlama: The Largest Indian Legal Judgment Prediction Dataset and Specialized Language Model for Enhanced Decision Analysis](https://aclanthology.org/2025.coling-main.738/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*

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