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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 16

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. [Nesciun Lengaz Lascià Endò: Machine Translation for Fassa Ladin](https://aclanthology.org/2024.clicit-1.104/) *— 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)*
38. [Neural Machine Translation for Malayalam Paraphrase Generation](https://aclanthology.org/2024.dravidianlangtech-1.2/) *— 2024 · Proceedings of the Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages*
39. [Neuro-Symbolic Data Generation for Math Reasoning](https://arxiv.org/abs/2412.04857) *— 2024 · arXiv:2412.04857*
40. [Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation](https://aclanthology.org/2024.emnlp-main.374/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
41. [No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages](https://aclanthology.org/2024.emnlp-main.1165/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
42. [No perspective, no perception!! Perspective-aware Healthcare Answer Summarization](https://aclanthology.org/2024.findings-acl.942/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
43. [Non-Exchangeable Conformal Language Generation with Nearest Neighbors](https://aclanthology.org/2024.findings-eacl.129/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
44. [Normalizing without Modernizing: Keeping Historical Wordforms of Middle French while Reducing Spelling Variants](https://md.mova.elamur.ai/free/en/docs/papers/rubino-2024-normalizing-without-modernizing-keeping-historical/) *— our card · 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
45. [Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization](https://arxiv.org/abs/2412.15453) *— 2024 · arXiv:2412.15453 · The First Workshop on Multilingual Counterspeech Generation (MCG) at The 31st International Conference on Computational Linguistics (COLING 2025)*
46. [Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References](https://aclanthology.org/2024.naacl-long.367/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
47. [NyayaAnumana & INLegalLlama: The Largest Indian Legal Judgment Prediction Dataset and Specialized Language Model for Enhanced Decision Analysis](https://arxiv.org/abs/2412.08385) *— 2024 · arXiv:2412.08385*
48. [OARelatedWork: A Large-Scale Dataset of Related Work Sections with Full-texts from Open Access Sources](https://arxiv.org/abs/2405.01930) *— 2024 · arXiv:2405.01930*
49. [OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models](https://aclanthology.org/2024.findings-acl.808/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
50. [OR-Bench: An Over-Refusal Benchmark for Large Language Models](https://arxiv.org/abs/2405.20947) *— 2024 · arXiv:2405.20947*
51. [OSACT6 Dialect to MSA Translation Shared Task Overview](https://aclanthology.org/2024.osact-1.11/) *— 2024 · Proceedings of the 6th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT) with Shared Tasks on Arabic LLMs Hallucination and Dialect to MSA Machine Translation @ LREC-COLING 2024*
52. [OctoPack: Instruction Tuning Code Large Language Models](https://arxiv.org/abs/2308.07124) *— 2024 · arXiv:2308.07124*
53. [OdiaGenAI's Participation in WMT2024 English-to-Low Resource Multimodal Translation Task](https://aclanthology.org/2024.wmt-1.77/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
54. [On Instruction-Finetuning Neural Machine Translation Models](https://aclanthology.org/2024.wmt-1.114/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
55. [On Measuring Context Utilization in Document-Level MT Systems](https://aclanthology.org/2024.findings-eacl.113/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
56. [On The Persona-based Summarization of Domain-Specific Documents](https://aclanthology.org/2024.findings-acl.849/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
57. [On Training Data Influence of GPT Models](https://aclanthology.org/2024.emnlp-main.183/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
58. [On Zero-Shot Counterspeech Generation by LLMs](https://aclanthology.org/2024.lrec-main.1090/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
59. [On the Controllability of Large Language Models for Dialogue Interaction](https://aclanthology.org/2024.sigdial-1.19/) *— 2024 · Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
60. [On the Efficacy of Eviction Policy for Key-Value Constrained Generative Language Model Inference](https://arxiv.org/abs/2402.06262) *— 2024 · arXiv:2402.06262*
61. [On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific Neurons](https://aclanthology.org/2024.naacl-long.384/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
62. [On the Robustness of Neural Models for Full Sentence Transformation](https://aclanthology.org/2024.americasnlp-1.19/) *— 2024 · Proceedings of the 4th Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP 2024)*
63. [Ontologically Faithful Generation of Non-Player Character Dialogues](https://aclanthology.org/2024.emnlp-main.520/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
64. [OpenT2T: An Open-Source Toolkit for Table-to-Text Generation](https://aclanthology.org/2024.emnlp-demo.27/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
65. [Optimising LLM-Driven Machine Translation with Context-Aware Sliding Windows](https://aclanthology.org/2024.wmt-1.101/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
66. [Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning](https://aclanthology.org/2024.emnlp-main.565/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
67. [Optimizing Rare Word Accuracy in Direct Speech Translation with a Retrieval-and-Demonstration Approach](https://aclanthology.org/2024.emnlp-main.708/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
68. [OrigamIM: A Dataset of Ambiguous Sentence Interpretations for Social Grounding and Implicit Language Understanding](https://aclanthology.org/2024.nlperspectives-1.13/) *— 2024 · Proceedings of the 3rd Workshop on Perspectivist Approaches to NLP (NLPerspectives) @ LREC-COLING 2024*
69. [Overview of the First Shared Task on Clinical Text Generation: RRG24 and ``Discharge Me!](https://aclanthology.org/2024.bionlp-1.7/) *— 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing*
70. [Overview of the GermEval 2024 Shared Task on Statement Segmentation in German Easy Language (StaGE)](https://aclanthology.org/2024.germeval-1.1/) *— 2024 · Proceedings of GermEval 2024 Shared Task on Statement Segmentation in German Easy Language (StaGE)*
71. [PACE: Improving Prompt with Actor-Critic Editing for Large Language Model](https://aclanthology.org/2024.findings-acl.436/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
72. [PAELLA: Parameter-Efficient Lightweight Language-Agnostic Captioning Model](https://aclanthology.org/2024.findings-naacl.225/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
73. [PCQPR: Proactive Conversational Question Planning with Reflection](https://aclanthology.org/2024.emnlp-main.631/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
74. [POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation](https://aclanthology.org/2024.acl-long.537/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
75. [PORTULAN ExtraGLUE Datasets and Models: Kick-starting a Benchmark for the Neural Processing of Portuguese](https://aclanthology.org/2024.bucc-1.3/) *— 2024 · Proceedings of the 17th Workshop on Building and Using Comparable Corpora (BUCC) @ LREC-COLING 2024*
76. [PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes](https://aclanthology.org/2024.findings-emnlp.597/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
77. [PSST: A Benchmark for Evaluation-driven Text Public-Speaking Style Transfer](https://aclanthology.org/2024.findings-emnlp.495/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
78. [PSYDIAL: Personality-based Synthetic Dialogue Generation Using Large Language Models](https://aclanthology.org/2024.lrec-main.1166/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
79. [ParaPLUIE - une mesure automatique d'évaluation de la qualité sémantique des systèmes de paraphrases](https://aclanthology.org/2024.jeptalnrecital-taln.40/) *— 2024 · Actes de la 31ème Conférence sur le Traitement Automatique des Langues Naturelles, volume 1 : articles longs et prises de position*
80. [Paying More Attention to Source Context: Mitigating Unfaithful Translations from Large Language Model](https://aclanthology.org/2024.findings-acl.821/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
81. [Perspective Taking through Generating Responses to Conflict Situations](https://aclanthology.org/2024.findings-acl.387/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
82. [PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs](https://aclanthology.org/2024.findings-acl.400/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
83. [Pitfalls and Outlooks in Using COMET](https://aclanthology.org/2024.wmt-1.121/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
84. [PixT3: Pixel-based Table-To-Text Generation](https://aclanthology.org/2024.acl-long.364/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
85. [PlatoLM: Teaching LLMs in Multi-Round Dialogue via a User Simulator](https://aclanthology.org/2024.acl-long.424/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
86. [PopALM: Popularity-Aligned Language Models for Social Media Trendy Response Prediction](https://aclanthology.org/2024.lrec-main.1127/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
87. [Post-edits Are Preferences Too](https://aclanthology.org/2024.wmt-1.122/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
88. [Presence or Absence: Are Unknown Word Usages in Dictionaries?](https://aclanthology.org/2024.lchange-1.5/) *— 2024 · LChange 2024 (ACL workshop)*
89. [Pretraining Language Models Using Translationese](https://aclanthology.org/2024.emnlp-main.334/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
90. [ProTrix: Building Models for Planning and Reasoning over Tables with Sentence Context](https://aclanthology.org/2024.findings-emnlp.253/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
91. [Probing Omissions and Distortions in Transformer-based RDF-to-Text Models](https://arxiv.org/abs/2409.16707) *— 2024 · arXiv:2409.16707*
92. [Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models](https://arxiv.org/abs/2405.01535) *— 2024 · arXiv:2405.01535*
93. [Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation](https://aclanthology.org/2024.findings-acl.672/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
94. [Prompting ChatGPT for Translation: A Comparative Analysis of Translation Brief and Persona Prompts](https://aclanthology.org/2024.eamt-1.27/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
95. [Prompting Few-shot Multi-hop Question Generation via Comprehending Type-aware Semantics](https://aclanthology.org/2024.findings-naacl.236/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
96. [Prompting Large Language Models for Idiomatic Translation](https://aclanthology.org/2024.ctt-1.4/) *— 2024 · Proceedings of the 1st Workshop on Creative-text Translation and Technology*
97. [Prompting Large Language Models with Human Error Markings for Self-Correcting Machine Translation](https://aclanthology.org/2024.eamt-1.54/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
98. [Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models](https://aclanthology.org/2024.findings-acl.936/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
99. [Pruning Multilingual Large Language Models for Multilingual Inference](https://aclanthology.org/2024.findings-emnlp.580/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
100. [Pushing the Limits of Zero-shot End-to-End Speech Translation](https://aclanthology.org/2024.findings-acl.847/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*

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