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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 21

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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4. [Conversation Chronicles: Towards Diverse Temporal and Relational Dynamics in Multi-Session Conversations](https://aclanthology.org/2023.emnlp-main.838/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
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6. [CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation](https://arxiv.org/abs/2311.18702) *— 2023 · arXiv:2311.18702*
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36. [Dialogue Response Generation Using Completion of Omitted Predicate Arguments Based on Zero Anaphora Resolution](https://aclanthology.org/2023.sigdial-1.26/) *— 2023 · Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
37. [Did You Mean...? Confidence-based Trade-offs in Semantic Parsing](https://aclanthology.org/2023.emnlp-main.159/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
38. [DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models](https://aclanthology.org/2023.findings-emnlp.660/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
39. [DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships](https://aclanthology.org/2023.acl-long.260/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
40. [Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text Generation](https://aclanthology.org/2023.tacl-1.53/) *— 2023 · Transactions of the Association for Computational Linguistics*
41. [DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence](https://aclanthology.org/2023.eacl-main.278/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
42. [Discourse Centric Evaluation of Machine Translation with a Densely Annotated Parallel Corpus](https://arxiv.org/abs/2305.11142) *— 2023 · arXiv:2305.11142 · ACL 2023*
43. [Discourse-Aware Text Simplification: From Complex Sentences to Linked Propositions](https://arxiv.org/abs/2308.00425) *— 2023 · arXiv:2308.00425*
44. [Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels](https://aclanthology.org/2023.acl-long.435/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
45. [Distilled GPT for Source Code Summarization](https://arxiv.org/abs/2308.14731) *— 2023 · arXiv:2308.14731*
46. [Distilling Script Knowledge from Large Language Models for Constrained Language Planning](https://aclanthology.org/2023.acl-long.236/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
47. [Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering](https://aclanthology.org/2023.findings-acl.835/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
48. [DivHSK: Diverse Headline Generation using Self-Attention based Keyword Selection](https://aclanthology.org/2023.findings-acl.118/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
49. [Dive into Deep Learning](https://d2l.ai/) *— 2023 · textbook*
50. [Do Androids Laugh at Electric Sheep? Humor ``Understanding'' Benchmarks from The New Yorker Caption Contest](https://aclanthology.org/2023.acl-long.41/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
51. [Do GPTs Produce Less Literal Translations?](https://aclanthology.org/2023.acl-short.90/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
52. [Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation](https://aclanthology.org/2023.acl-long.786/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
53. [Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation](https://aclanthology.org/2023.eacl-main.33/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
54. [Document-Level Language Models for Machine Translation](https://aclanthology.org/2023.wmt-1.39/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
55. [Document-Level Planning for Text Simplification](https://aclanthology.org/2023.eacl-main.70/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
56. [Document-level Text Simplification with Coherence Evaluation](https://aclanthology.org/2023.tsar-1.9/) *— 2023 · Proceedings of the Second Workshop on Text Simplification, Accessibility and Readability*
57. [Does Writing with Language Models Reduce Content Diversity?](https://arxiv.org/abs/2309.05196) *— 2023 · arXiv:2309.05196*
58. [Dolphin: A Challenging and Diverse Benchmark for Arabic NLG](https://aclanthology.org/2023.findings-emnlp.98/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
59. [Domain Adaptation for Arabic Machine Translation: The Case of Financial Texts](https://arxiv.org/abs/2309.12863) *— 2023 · arXiv:2309.12863*
60. [Domain Terminology Integration into Machine Translation: Leveraging Large Language Models](https://aclanthology.org/2023.wmt-1.82/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
61. [Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness](https://aclanthology.org/2023.findings-acl.843/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
62. [Dubbing in Practice: A Large Scale Study of Human Localization With Insights for Automatic Dubbing](https://aclanthology.org/2023.tacl-1.25/) *— 2023 · Transactions of the Association for Computational Linguistics*
63. [Duplex Diffusion Models Improve Speech-to-Speech Translation](https://aclanthology.org/2023.findings-acl.509/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
64. [ECHo: A Visio-Linguistic Dataset for Event Causality Inference via Human-Centric Reasoning](https://aclanthology.org/2023.findings-emnlp.268/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
65. [ELQA: A Corpus of Metalinguistic Questions and Answers about English](https://aclanthology.org/2023.acl-long.113/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
66. [EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification](https://aclanthology.org/2023.emnlp-main.826/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
67. [EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation Metrics](https://aclanthology.org/2023.findings-emnlp.7/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
68. [EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning](https://aclanthology.org/2023.findings-acl.873/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
69. [EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding](https://arxiv.org/abs/2308.09126) *— 2023 · arXiv:2308.09126*
70. [Elaborative Simplification as Implicit Questions Under Discussion](https://md.mova.elamur.ai/free/en/docs/papers/wu-2023-elaborative-simplification-as-implicit-questions/) *— our card · 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
71. [Element-aware Summarization with Large Language Models: Expert-aligned Evaluation and Chain-of-Thought Method](https://aclanthology.org/2023.acl-long.482/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
72. [Embed_Llama: Using LLM Embeddings for the Metrics Shared Task](https://aclanthology.org/2023.wmt-1.60/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
73. [Emotion and Sentiment Guided Paraphrasing](https://aclanthology.org/2023.wassa-1.7/) *— 2023 · Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis*
74. [Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering](https://aclanthology.org/2023.emnlp-industry.29/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track*
75. [Empowering a Metric with LLM-assisted Named Entity Annotation: HW-TSC''s Submission to the WMT23 Metrics Shared Task](https://aclanthology.org/2023.wmt-1.70/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
76. [End-to-End Task-Oriented Dialogue Systems Based on Schema](https://aclanthology.org/2023.findings-acl.645/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
77. [End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions](https://aclanthology.org/2023.emnlp-main.363/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
78. [Enhancing Ancient Chinese Understanding with Derived Noisy Syntax Trees](https://aclanthology.org/2023.acl-srw.15/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
79. [Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting](https://aclanthology.org/2023.findings-emnlp.398/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
80. [Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation](https://aclanthology.org/2023.acl-long.253/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
81. [Enhancing Dialogue Summarization with Topic-Aware Global- and Local- Level Centrality](https://aclanthology.org/2023.eacl-main.2/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
82. [Enhancing Personalized Dialogue Generation with Contrastive Latent Variables: Combining Sparse and Dense Persona](https://aclanthology.org/2023.acl-long.299/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
83. [Enhancing Task Bot Engagement with Synthesized Open-Domain Dialog](https://aclanthology.org/2023.sigdial-1.46/) *— 2023 · Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
84. [Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation](https://aclanthology.org/2023.findings-emnlp.617/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
85. [Error syntax aware augmentation of feedback comment generation dataset](https://aclanthology.org/2023.inlg-genchal.6/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges*
86. [EvaHan2023: Overview of the First International Ancient Chinese Translation Bakeoff](https://aclanthology.org/2023.alt-1.1/) *— 2023 · Proceedings of ALT2023: Ancient Language Translation Workshop*
87. [Evaluate AMR Graph Similarity via Self-supervised Learning](https://aclanthology.org/2023.acl-long.892/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
88. [Evaluating Evaluation Metrics: A Framework for Analyzing NLG Evaluation Metrics using Measurement Theory](https://aclanthology.org/2023.emnlp-main.676/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
89. [Evaluating Factual Consistency of Texts with Semantic Role Labeling](https://aclanthology.org/2023.starsem-1.9/) *— 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)*
90. [Evaluating Generative Models for Graph-to-Text Generation](https://aclanthology.org/2023.ranlp-1.133/) *— 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing*
91. [Evaluating Language Models for Mathematics through Interactions](https://arxiv.org/abs/2306.01694) *— 2023 · arXiv:2306.01694*
92. [Evaluating Large Language Models at Evaluating Instruction Following](https://arxiv.org/abs/2310.07641) *— 2023 · arXiv:2310.07641*
93. [Evaluating Large Language Models' Understanding of Financial Terminology via Definition Modeling](https://aclanthology.org/2023.ijcnlp-srw.12/) *— 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: Student Research Workshop*
94. [Evaluating Machine Translation Quality with Conformal Predictive Distributions](https://arxiv.org/abs/2306.01549) *— 2023 · arXiv:2306.01549*
95. [Evaluating Morphological Generalisation in Machine Translation by Distribution-Based Compositionality Assessment](https://aclanthology.org/2023.nodalida-1.75/) *— 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)*
96. [Evaluating Multilingual Speech Translation under Realistic Conditions with Resegmentation and Terminology](https://aclanthology.org/2023.iwslt-1.2/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
97. [Evaluating Open-Domain Dialogues in Latent Space with Next Sentence Prediction and Mutual Information](https://aclanthology.org/2023.acl-long.33/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
98. [Evaluating Subjective Cognitive Appraisals of Emotions from Large Language Models](https://aclanthology.org/2023.findings-emnlp.962/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
99. [Evaluating Verifiability in Generative Search Engines](https://aclanthology.org/2023.findings-emnlp.467/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
100. [Evaluating and Improving the Coreference Capabilities of Machine Translation Models](https://aclanthology.org/2023.eacl-main.69/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*

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