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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 14

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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35. [Guided Profile Generation Improves Personalization with Large Language Models](https://aclanthology.org/2024.findings-emnlp.231/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
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37. [GuyLingo: The Republic of Guyana Creole Corpora](https://aclanthology.org/2024.naacl-short.70/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)*
38. [HOTVCOM: Generating Buzzworthy Comments for Videos](https://aclanthology.org/2024.findings-acl.130/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
39. [Hallucination Detection in LLM-enriched Product Listings](https://aclanthology.org/2024.ecnlp-1.4/) *— 2024 · Proceedings of the Seventh Workshop on e-Commerce and NLP @ LREC-COLING 2024*
40. [Harmonizing Code-mixed Conversations: Personality-assisted Code-mixed Response Generation in Dialogues](https://aclanthology.org/2024.findings-eacl.44/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
41. [HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/findings-2024-argaman-hesum-novel-dataset-abstractive-text/) *— our card · 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
42. [Health Text Simplification: An Annotated Corpus for Digestive Cancer Education and Novel Strategies for Reinforcement Learning](https://arxiv.org/abs/2401.15043) *— 2024 · arXiv:2401.15043*
43. [High-quality Data-to-Text Generation for Severely Under-Resourced Languages with Out-of-the-box Large Language Models](https://aclanthology.org/2024.findings-eacl.98/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
44. [Holistic Evaluation of Large Language Models: Assessing Robustness, Accuracy, and Toxicity for Real-World Applications](https://aclanthology.org/2024.trustnlp-1.11/) *— 2024 · Proceedings of the 4th Workshop on Trustworthy Natural Language Processing (TrustNLP 2024)*
45. [How Does In-Context Learning Help Prompt Tuning?](https://aclanthology.org/2024.findings-eacl.11/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
46. [How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages?](https://aclanthology.org/2024.acl-short.58/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
47. [How Grammatical Features Impact Machine Translation: A New Test Suite for Chinese-English MT Evaluation](https://aclanthology.org/2024.wmt-1.117/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
48. [How Much Annotation is Needed to Compare Summarization Models?](https://aclanthology.org/2024.hcinlp-1.5/) *— 2024 · Proceedings of the Third Workshop on Bridging Human–Computer Interaction and Natural Language Processing*
49. [How Much Data is Enough Data? Fine-Tuning Large Language Models for In-House Translation: Performance Evaluation Across Multiple Dataset Sizes](https://aclanthology.org/2024.amta-research.20/) *— 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
50. [HumBEL: A Human-in-the-Loop Approach for Evaluating Demographic Factors of Language Models in Human-Machine Conversations](https://aclanthology.org/2024.eacl-long.68/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
51. [Human-Centered Design Recommendations for LLM-as-a-judge](https://aclanthology.org/2024.hucllm-1.2/) *— 2024 · Proceedings of the 1st Human-Centered Large Language Modeling Workshop*
52. [Hybrid Distillation from RBMT and NMT: Helsinki-NLP''s Submission to the Shared Task on Translation into Low-Resource Languages of Spain](https://aclanthology.org/2024.wmt-1.88/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
53. [Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding](https://aclanthology.org/2024.findings-acl.505/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
54. [ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer](https://aclanthology.org/2024.acl-long.854/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
55. [IFCap: Image-like Retrieval and Frequency-based Entity Filtering for Zero-shot Captioning](https://aclanthology.org/2024.emnlp-main.1153/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
56. [INCLURE: a Dataset and Toolkit for Inclusive French Translation](https://aclanthology.org/2024.bucc-1.7/) *— 2024 · Proceedings of the 17th Workshop on Building and Using Comparable Corpora (BUCC) @ LREC-COLING 2024*
57. [IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing](https://aclanthology.org/2024.emnlp-industry.52/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track*
58. [ISO 24617-8 Applied: Insights from Multilingual Discourse Relations Annotation in English, Polish, and Portuguese](https://aclanthology.org/2024.isa-1.13/) *— 2024 · Proceedings of the 20th Joint ACL - ISO Workshop on Interoperable Semantic Annotation @ LREC-COLING 2024*
59. [ImageInWords: Unlocking Hyper-Detailed Image Descriptions](https://aclanthology.org/2024.emnlp-main.6/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
60. [Implementing Gender-Inclusivity in MT Output using Automatic Post-Editing with LLMs](https://aclanthology.org/2024.eamt-1.48/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
61. [Importance-Aware Data Augmentation for Document-Level Neural Machine Translation](https://aclanthology.org/2024.eacl-long.44/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
62. [Improving Cross-Domain Low-Resource Text Generation through LLM Post-Editing: A Programmer-Interpreter Approach](https://aclanthology.org/2024.findings-eacl.24/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
63. [Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning](https://aclanthology.org/2024.findings-emnlp.540/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
64. [Improving Factual Accuracy of Neural Table-to-Text Output by Addressing Input Problems in ToTTo](https://aclanthology.org/2024.naacl-long.408/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
65. [Improving Low-Resource Machine Translation for Formosan Languages Using Bilingual Lexical Resources](https://aclanthology.org/2024.findings-acl.670/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
66. [Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model](https://aclanthology.org/2024.naacl-long.451/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
67. [Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative Decoding](https://aclanthology.org/2024.findings-acl.786/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
68. [Improving Minimum Bayes Risk Decoding with Multi-Prompt](https://aclanthology.org/2024.emnlp-main.1255/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
69. [Improving Multilingual Neural Machine Translation by Utilizing Semantic and Linguistic Features](https://aclanthology.org/2024.findings-acl.620/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
70. [Improving Non-autoregressive Machine Translation with Error Exposure and Consistency Regularization](https://arxiv.org/abs/2402.09725) *— 2024 · arXiv:2402.09725*
71. [Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders](https://aclanthology.org/2024.findings-eacl.97/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
72. [Improving Statistical Significance in Human Evaluation of Automatic Metrics via Soft Pairwise Accuracy](https://aclanthology.org/2024.wmt-1.118/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
73. [Improving Vietnamese-English Medical Machine Translation](https://aclanthology.org/2024.lrec-main.784/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
74. [In-Context Former: Lightning-fast Compressing Context for Large Language Model](https://aclanthology.org/2024.findings-emnlp.138/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
75. [IndiFoodVQA: Advancing Visual Question Answering and Reasoning with a Knowledge-Infused Synthetic Data Generation Pipeline](https://aclanthology.org/2024.findings-eacl.78/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
76. [Indic-TEDST: Datasets and Baselines for Low-Resource Speech to Text Translation](https://aclanthology.org/2024.lrec-main.790/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
77. [Information Parity: Measuring and Predicting the Multilingual Capabilities of Language Models](https://aclanthology.org/2024.findings-emnlp.468/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
78. [Instruct Once, Chat Consistently in Multiple Rounds: An Efficient Tuning Framework for Dialogue](https://aclanthology.org/2024.acl-long.219/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
79. [Integrating Argumentation and Hate-Speech-based Techniques for Countering Misinformation](https://aclanthology.org/2024.emnlp-main.622/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
80. [Intelligent Predictive Maintenance RAG framework for Power Plants: Enhancing QA with StyleDFS and Domain Specific Instruction Tuning](https://aclanthology.org/2024.emnlp-industry.61/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track*
81. [Interplay of Machine Translation, Diacritics, and Diacritization](https://aclanthology.org/2024.naacl-long.420/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
82. [Introduction au numéro spécial - Robustesse et limites des modèles de traitement automatique des langues Introduction to the special issue on robustness and limits of NLP models](https://aclanthology.org/2023.tal-2.1/) *— 2024*
83. [Investigating Neural Machine Translation for Low-Resource Languages: Using Bavarian as a Case Study](https://aclanthology.org/2024.sigul-1.20/) *— 2024 · Proceedings of the 3rd Annual Meeting of the Special Interest Group on Under-resourced Languages @ LREC-COLING 2024*
84. [Investigating Paraphrase Generation as a Data Augmentation Strategy for Low-Resource AMR-to-Text Generation](https://aclanthology.org/2024.inlg-main.51/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
85. [Is Context Helpful for Chat Translation Evaluation?](https://arxiv.org/abs/2403.08314) *— 2024 · arXiv:2403.08314*
86. [Is Explanation All You Need? An Expert Survey on LLM-generated Explanations for Abusive Language Detection](https://aclanthology.org/2024.clicit-1.34/) *— 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)*
87. [Is Our Chatbot Telling Lies? Assessing Correctness of an LLM-based Dutch Support Chatbot](https://arxiv.org/abs/2411.00034) *— 2024 · arXiv:2411.00034*
88. [Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis](https://aclanthology.org/2024.wmt-1.127/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
89. [Is Reference Necessary in the Evaluation of NLG Systems? When and Where?](https://aclanthology.org/2024.naacl-long.474/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
90. [Is Summary Useful or Not? An Extrinsic Human Evaluation of Text Summaries on Downstream Tasks](https://aclanthology.org/2024.lrec-main.821/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
91. [Italian-Ligurian Machine Translation in Its Cultural Context](https://aclanthology.org/2024.sigul-1.21/) *— 2024 · Proceedings of the 3rd Annual Meeting of the Special Interest Group on Under-resourced Languages @ LREC-COLING 2024*
92. [Iterative Translation Refinement with Large Language Models](https://aclanthology.org/2024.eamt-1.17/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
93. [JHU IWSLT 2024 Dialectal and Low-resource System Description](https://aclanthology.org/2024.iwslt-1.19/) *— 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)*
94. [JaParaPat: A Large-Scale Japanese-English Parallel Patent Application Corpus](https://aclanthology.org/2024.lrec-main.826/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
95. [Kalahi: A handcrafted, grassroots cultural LLM evaluation suite for Filipino](https://aclanthology.org/2024.paclic-1.49/) *— 2024 · Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation*
96. [KazParC: Kazakh Parallel Corpus for Machine Translation](https://aclanthology.org/2024.lrec-main.842/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
97. [Knowledge Fusion of Large Language Models](https://arxiv.org/abs/2401.10491) *— 2024 · arXiv:2401.10491*
98. [Knowledge-Centric Templatic Views of Documents](https://aclanthology.org/2024.findings-emnlp.906/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
99. [Knowledge-Grounded Dialogue Act Transfer using Prompt-Based Learning for Controllable Open-Domain NLG](https://aclanthology.org/2024.sigdial-1.7/) *— 2024 · Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
100. [KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server](https://aclanthology.org/2024.emnlp-main.438/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*

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