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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 20

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](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-8/) · 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38. [BioPlanner: Automatic Evaluation of LLMs on Protocol Planning in Biology](https://aclanthology.org/2023.emnlp-main.162/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
39. [BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations](https://aclanthology.org/2023.emnlp-main.70/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
40. [Boosting Distress Support Dialogue Responses with Motivational Interviewing Strategy](https://aclanthology.org/2023.findings-acl.334/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
41. [BoschAI @ PLABA 2023: Leveraging Edit Operations in End-to-End Neural Sentence Simplification](https://arxiv.org/abs/2311.01907) *— 2023 · arXiv:2311.01907*
42. [Bridging the Gap between Position-Based and Content-Based Self-Attention for Neural Machine Translation](https://aclanthology.org/2023.wmt-1.46/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
43. [Bridging the Gap between Pre-Training and Fine-Tuning for Commonsense Generation](https://aclanthology.org/2023.findings-eacl.28/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
44. [Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation](https://aclanthology.org/2023.emnlp-main.173/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
45. [Bring More Attention to Syntactic Symmetry for Automatic Postediting of High-Quality Machine Translations](https://aclanthology.org/2023.acl-short.122/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
46. [Byte-Level Grammatical Error Correction Using Synthetic and Curated Corpora](https://aclanthology.org/2023.acl-long.402/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
47. [CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation](https://aclanthology.org/2023.acl-long.457/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
48. [CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning](https://aclanthology.org/2023.acl-long.733/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
49. [CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality](https://aclanthology.org/2023.acl-long.168/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
50. [CCIM: Cross-modal Cross-lingual Interactive Image Translation](https://aclanthology.org/2023.findings-emnlp.330/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
51. [CFSum Coarse-to-Fine Contribution Network for Multimodal Summarization](https://aclanthology.org/2023.acl-long.476/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
52. [CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models](https://aclanthology.org/2023.acl-long.757/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
53. [CLAIR: Evaluating Image Captions with Large Language Models](https://aclanthology.org/2023.emnlp-main.841/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
54. [CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction](https://aclanthology.org/2023.emnlp-main.378/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
55. [CLEVA: Chinese Language Models EVAluation Platform](https://arxiv.org/abs/2308.04813) *— 2023 · arXiv:2308.04813*
56. [CMU's IWSLT 2023 Simultaneous Speech Translation System](https://aclanthology.org/2023.iwslt-1.20/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
57. [COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation](https://aclanthology.org/2023.emnlp-main.819/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
58. [COHESENTIA: A Novel Benchmark of Incremental versus Holistic Assessment of Coherence in Generated Texts](https://aclanthology.org/2023.emnlp-main.324/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
59. [COMET-M: Reasoning about Multiple Events in Complex Sentences](https://aclanthology.org/2023.findings-emnlp.861/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
60. [CS2W: A Chinese Spoken-to-Written Style Conversion Dataset with Multiple Conversion Types](https://aclanthology.org/2023.emnlp-main.241/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
61. [CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation](https://aclanthology.org/2023.findings-emnlp.519/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
62. [CUNI at WMT23 General Translation Task: MT and a Genetic Algorithm](https://aclanthology.org/2023.wmt-1.8/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
63. [Can Diffusion Model Achieve Better Performance in Text Generation ? Bridging the Gap between Training and Inference !](https://aclanthology.org/2023.findings-acl.721/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
64. [Can Knowledge Graphs Simplify Text?](https://arxiv.org/abs/2308.06975) *— 2023 · arXiv:2308.06975*
65. [Can Language Models Employ the Socratic Method? Experiments with Code Debugging](https://arxiv.org/abs/2310.03210) *— 2023 · arXiv:2310.03210*
66. [Can Synthetic Text Help Clinical Named Entity Recognition? A Study of Electronic Health Records in French](https://aclanthology.org/2023.eacl-main.170/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
67. [Causal Document-Grounded Dialogue Pre-training](https://aclanthology.org/2023.emnlp-main.443/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
68. [Causes and Cures for Interference in Multilingual Translation](https://aclanthology.org/2023.acl-long.883/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
69. [Challenges in Context-Aware Neural Machine Translation](https://aclanthology.org/2023.emnlp-main.943/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
70. [ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate](https://arxiv.org/abs/2308.07201) *— 2023 · arXiv:2308.07201*
71. [ChatGPT MT: Competitive for High- (but Not Low-) Resource Languages](https://aclanthology.org/2023.wmt-1.40/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
72. [ChatGPT vs Human-authored Text: Insights into Controllable Text Summarization and Sentence Style Transfer](https://arxiv.org/abs/2306.07799) *— 2023 · arXiv:2306.07799*
73. [Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback](https://arxiv.org/abs/2302.12813) *— 2023 · arXiv:2302.12813*
74. [Chinese Idiom Paraphrasing](https://aclanthology.org/2023.tacl-1.43/) *— 2023 · Transactions of the Association for Computational Linguistics*
75. [Choosing What to Mask: More Informed Masking for Multimodal Machine Translation](https://aclanthology.org/2023.acl-srw.35/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
76. [Claim Optimization in Computational Argumentation](https://aclanthology.org/2023.inlg-main.10/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference*
77. [ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations](https://aclanthology.org/2023.acl-long.630/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
78. [ClinicalGPT: Large Language Models Finetuned with Diverse Medical Data and Comprehensive Evaluation](https://arxiv.org/abs/2306.09968) *— 2023 · arXiv:2306.09968*
79. [CoMix: Guide Transformers to Code-Mix using POS structure and Phonetics](https://aclanthology.org/2023.findings-acl.506/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
80. [Code-Switched Text Synthesis in Unseen Language Pairs](https://aclanthology.org/2023.findings-acl.318/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
81. [CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code](https://aclanthology.org/2023.emnlp-main.859/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
82. [CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X](https://arxiv.org/abs/2303.17568) *— 2023 · arXiv:2303.17568*
83. [CodeTransOcean: A Comprehensive Multilingual Benchmark for Code Translation](https://aclanthology.org/2023.findings-emnlp.337/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
84. [Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction](https://aclanthology.org/2023.acl-long.555/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
85. [Coherence and Diversity through Noise: Self-Supervised Paraphrase Generation via Structure-Aware Denoising](https://arxiv.org/abs/2302.02780) *— 2023 · arXiv:2302.02780*
86. [Coherent Story Generation with Structured Knowledge](https://aclanthology.org/2023.ranlp-1.74/) *— 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing*
87. [CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models](https://aclanthology.org/2023.emnlp-main.180/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
88. [Comparing Neural Question Generation Architectures for Reading Comprehension](https://aclanthology.org/2023.bea-1.47/) *— 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)*
89. [Compressing Context to Enhance Inference Efficiency of Large Language Models](https://aclanthology.org/2023.emnlp-main.391/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
90. [Computational Language Acquisition with Theory of Mind](https://arxiv.org/abs/2303.01502) *— 2023 · arXiv:2303.01502*
91. [Condensing Multilingual Knowledge with Lightweight Language-Specific Modules](https://aclanthology.org/2023.emnlp-main.97/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
92. [Conditioning on Dialog Acts improves Empathy Style Transfer](https://aclanthology.org/2023.findings-emnlp.884/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
93. [Considerations for meaningful sign language machine translation based on glosses](https://aclanthology.org/2023.acl-short.60/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
94. [Consistency Regularization Training for Compositional Generalization](https://aclanthology.org/2023.acl-long.72/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
95. [Consistent Text Categorization using Data Augmentation in e-Commerce](https://aclanthology.org/2023.acl-industry.30/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track)*
96. [Consolidating Strategies for Countering Hate Speech Using Persuasive Dialogues](https://aclanthology.org/2023.icon-1.30/) *— 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)*
97. [Constructing Pseudo-parallel Swedish Sentence Corpora for Automatic Text Simplification](https://aclanthology.org/2023.nodalida-1.13/) *— 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)*
98. [Context-Aware Document Simplification](https://aclanthology.org/2023.findings-acl.834/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
99. [Continual Knowledge Distillation for Neural Machine Translation](https://aclanthology.org/2023.acl-long.443/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
100. [Controllability for English-Ukrainian Machine Translation Based on Specialized Corpora](https://aclanthology.org/2023.multi3generation-1.1/) *— 2023 · Proceedings of the 1st International Workshop on Multilingual, Multimodal and Multitask Language Generation*

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