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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 23

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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37. [KGVL-BART: Knowledge Graph Augmented Visual Language BART for Radiology Report Generation](https://aclanthology.org/2023.eacl-main.246/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
38. [Kanbun-LM: Reading and Translating Classical Chinese in Japanese Methods by Language Models](https://aclanthology.org/2023.findings-acl.545/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
39. [Knowledge Graph Compression Enhances Diverse Commonsense Generation](https://aclanthology.org/2023.emnlp-main.37/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
40. [Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation](https://arxiv.org/abs/2305.18846) *— 2023 · arXiv:2305.18846*
41. [LEGO: A Multi-agent Collaborative Framework with Role-playing and Iterative Feedback for Causality Explanation Generation](https://aclanthology.org/2023.findings-emnlp.613/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
42. [LIMIT: Language Identification, Misidentification, and Translation using Hierarchical Models in 350+ Languages](https://aclanthology.org/2023.emnlp-main.895/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
43. [LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models](https://arxiv.org/abs/2305.13711) *— 2023 · arXiv:2305.13711*
44. [LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models](https://aclanthology.org/2023.emnlp-main.825/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
45. [LLMs – the Good, the Bad or the Indispensable?: A Use Case on Legal Statute Prediction and Legal Judgment Prediction on Indian Court Cases](https://aclanthology.org/2023.findings-emnlp.831/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
46. [LMCap: Few-shot Multilingual Image Captioning by Retrieval Augmented Language Model Prompting](https://aclanthology.org/2023.findings-acl.104/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
47. [Language Model Self-improvement by Reinforcement Learning Contemplation](https://arxiv.org/abs/2305.14483) *— 2023 · arXiv:2305.14483*
48. [Language as a Latent Sequence: deep latent variable models for semi-supervised paraphrase generation](https://arxiv.org/abs/2301.02275) *— 2023 · arXiv:2301.02275*
49. [Large Language Model Unlearning](https://arxiv.org/abs/2310.10683) *— 2023 · arXiv:2310.10683*
50. [Large Language Models Meet Harry Potter: A Dataset for Aligning Dialogue Agents with Characters](https://aclanthology.org/2023.findings-emnlp.570/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
51. [Large Language Models Meet NL2Code: A Survey](https://aclanthology.org/2023.acl-long.411/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
52. [Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization](https://aclanthology.org/2023.findings-emnlp.278/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
53. [Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization](https://arxiv.org/abs/2305.13091) *— 2023 · arXiv:2305.13091 · Findings of EMNLP 2023*
54. [Large Language Models are few(1)-shot Table Reasoners](https://aclanthology.org/2023.findings-eacl.83/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
55. [Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogues](https://aclanthology.org/2023.findings-emnlp.641/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
56. [Large Language Models for Automated Open-domain Scientific Hypotheses Discovery](https://arxiv.org/abs/2309.02726) *— 2023 · arXiv:2309.02726*
57. [Large Language Models for Information Retrieval: A Survey](https://arxiv.org/abs/2308.07107) *— 2023 · arXiv:2308.07107*
58. [LayoutDIT: Layout-Aware End-to-End Document Image Translation with Multi-Step Conductive Decoder](https://aclanthology.org/2023.findings-emnlp.673/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
59. [Learning Answer Generation using Supervision from Automatic Question Answering Evaluators](https://aclanthology.org/2023.acl-long.467/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
60. [Learning Disentangled Meaning and Style Representations for Positive Text Reframing](https://aclanthology.org/2023.inlg-main.31/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference*
61. [Learning Disentangled Representations for Natural Language Definitions](https://aclanthology.org/2023.findings-eacl.101/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
62. [Learning From Free-Text Human Feedback – Collect New Datasets Or Extend Existing Ones?](https://aclanthology.org/2023.emnlp-main.1011/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
63. [Learning Optimal Policy for Simultaneous Machine Translation via Binary Search](https://aclanthology.org/2023.acl-long.130/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
64. [Learning Retrieval Augmentation for Personalized Dialogue Generation](https://aclanthology.org/2023.emnlp-main.154/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
65. [Learning Translation Quality Evaluation on Low Resource Languages from Large Language Models](https://arxiv.org/abs/2302.03491) *— 2023 · arXiv:2302.03491*
66. [Learning by Analogy: Diverse Questions Generation in Math Word Problem](https://aclanthology.org/2023.findings-acl.705/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
67. [Learning from Past Mistakes: Quality Estimation from Monolingual Corpora and Machine Translation Learning Stages](https://aclanthology.org/2023.mtsummit-research.8/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
68. [Learning to Generate Equitable Text in Dialogue from Biased Training Data](https://aclanthology.org/2023.acl-long.163/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
69. [Learning to Imagine: Visually-Augmented Natural Language Generation](https://aclanthology.org/2023.acl-long.526/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
70. [Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing](https://aclanthology.org/2023.acl-long.177/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
71. [Length Does Matter: Summary Length can Bias Summarization Metrics](https://aclanthology.org/2023.emnlp-main.984/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
72. [Length-Aware NMT and Adaptive Duration for Automatic Dubbing](https://aclanthology.org/2023.iwslt-1.9/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
73. [Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal Discovery](https://aclanthology.org/2023.tacl-1.30/) *— 2023 · Transactions of the Association for Computational Linguistics*
74. [Leveraging Low-resource Parallel Data for Text Style Transfer](https://aclanthology.org/2023.inlg-main.27/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference*
75. [Leveraging Multilingual Knowledge Graph to Boost Domain-specific Entity Translation of ChatGPT](https://aclanthology.org/2023.mtsummit-users.7/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track*
76. [Leveraging Prefix Transfer for Multi-Intent Text Revision](https://aclanthology.org/2023.acl-short.105/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
77. [Lexical Translation Inconsistency-Aware Document-Level Translation Repair](https://aclanthology.org/2023.findings-acl.791/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
78. [LightFormer: Light-weight Transformer Using SVD-based Weight Transfer and Parameter Sharing](https://aclanthology.org/2023.findings-acl.656/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
79. [Local Interpretation of Transformer Based on Linear Decomposition](https://aclanthology.org/2023.acl-long.572/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
80. [LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization](https://aclanthology.org/2023.eacl-main.121/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
81. [Low-Resource Text Style Transfer for Bangla: Data & Models](https://aclanthology.org/2023.banglalp-1.5/) *— 2023 · Proceedings of the First Workshop on Bangla Language Processing (BLP-2023)*
82. [MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods](https://arxiv.org/abs/2309.10966) *— 2023 · arXiv:2309.10966*
83. [MEE4 and XLsim : IIIT HYD''s Submissions'' for WMT23 Metrics Shared Task](https://aclanthology.org/2023.wmt-1.66/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
84. [MEEP: Is this Engaging? Prompting Large Language Models for Dialogue Evaluation in Multilingual Settings](https://aclanthology.org/2023.findings-emnlp.137/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
85. [MILDSum: A Novel Benchmark Dataset for Multilingual Summarization of Indian Legal Case Judgments](https://aclanthology.org/2023.emnlp-main.321/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
86. [MILPaC: A Novel Benchmark for Evaluating Translation of Legal Text to Indian Languages](https://arxiv.org/abs/2310.09765) *— 2023 · arXiv:2310.09765*
87. [MITRA-zh: An efficient, open machine translation solution for Buddhist Chinese](https://aclanthology.org/2023.nlp4dh-1.29/) *— 2023 · Proceedings of the Joint 3rd International Conference on Natural Language Processing for Digital Humanities and 8th International Workshop on Computational Linguistics for Uralic Languages*
88. [MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation](https://aclanthology.org/2023.acl-long.405/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
89. [MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization](https://aclanthology.org/2023.ijcnlp-main.4/) *— 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)*
90. [MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer](https://arxiv.org/abs/2306.07994) *— 2023 · arXiv:2306.07994*
91. [MT Metrics Correlate with Human Ratings of Simultaneous Speech Translation](https://aclanthology.org/2023.iwslt-1.12/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
92. [MTCue: Learning Zero-Shot Control of Extra-Textual Attributes by Leveraging Unstructured Context in Neural Machine Translation](https://aclanthology.org/2023.findings-acl.521/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
93. [MaNtLE: Model-agnostic Natural Language Explainer](https://aclanthology.org/2023.emnlp-main.832/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
94. [Machine Translation Advancements for Low-Resource Indian Languages in WMT23: CFILT-IITB''s Effort for Bridging the Gap](https://aclanthology.org/2023.wmt-1.89/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
95. [Machine Translation between Spoken Languages and Signed Languages Represented in SignWriting](https://aclanthology.org/2023.findings-eacl.127/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
96. [Machine Translation for Ge'ez Language](https://arxiv.org/abs/2311.14530) *— 2023 · arXiv:2311.14530*
97. [Machine Translation for Low-resource Finno-Ugric Languages](https://aclanthology.org/2023.nodalida-1.77/) *— 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)*
98. [Making Presentation Math Computable: A Context-Sensitive Approach for Translating LaTeX to Computer Algebra Systems](https://link.springer.com/book/10.1007/978-3-658-40473-4) *— 2023 · monograph*
99. [Mars: Modeling Context & State Representations with Contrastive Learning for End-to-End Task-Oriented Dialog](https://aclanthology.org/2023.findings-acl.708/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
100. [MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems](https://aclanthology.org/2023.findings-emnlp.372/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*

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