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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 15

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/)

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37. [Learning Personalized Alignment for Evaluating Open-ended Text Generation](https://aclanthology.org/2024.emnlp-main.737/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
38. [Learning from Implicit User Feedback, Emotions and Demographic Information in Task-Oriented and Document-Grounded Dialogues](https://aclanthology.org/2024.findings-emnlp.264/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
39. [Learning-From-Mistakes Prompting for Indigenous Language Translation](https://aclanthology.org/2024.loresmt-1.15/) *— 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)*
40. [Legal Judgment Reimagined: PredEx and the Rise of Intelligent AI Interpretation in Indian Courts](https://aclanthology.org/2024.findings-acl.255/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
41. [Length-aware Byte Pair Encoding for Mitigating Over-segmentation in Korean Machine Translation](https://aclanthology.org/2024.findings-acl.135/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
42. [Lessons from the Trenches on Reproducible Evaluation of Language Models](https://arxiv.org/abs/2405.14782) *— 2024 · arXiv:2405.14782*
43. [Leveraging LLM Reasoning Enhances Personalized Recommender Systems](https://aclanthology.org/2024.findings-acl.780/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
44. [Leveraging LLMs for Dialogue Quality Measurement](https://aclanthology.org/2024.naacl-industry.30/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 6: Industry Track)*
45. [Leveraging LLMs for MT in Crisis Scenarios: a blueprint for low-resource languages](https://aclanthology.org/2024.amta-research.2/) *— 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
46. [Leveraging Large Language Models for NLG Evaluation: Advances and Challenges](https://aclanthology.org/2024.emnlp-main.896/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
47. [Leveraging Plug-and-Play Models for Rhetorical Structure Control in Text Generation](https://aclanthology.org/2024.inlg-main.40/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
48. [Leveraging Synthetic Audio Data for End-to-End Low-Resource Speech Translation](https://aclanthology.org/2024.iwslt-1.31/) *— 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)*
49. [LexAbSumm: Aspect-based Summarization of Legal Decisions](https://aclanthology.org/2024.lrec-main.911/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
50. [LexDrafter: Terminology Drafting for Legislative Documents Using Retrieval Augmented Generation](https://aclanthology.org/2024.lrec-main.913/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
51. [LexMatcher: Dictionary-centric Data Curation for LLM-based Machine Translation](https://aclanthology.org/2024.findings-emnlp.866/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
52. [Likelihood-based Mitigation of Evaluation Bias in Large Language Models](https://aclanthology.org/2024.findings-acl.193/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
53. [Linear-time Minimum Bayes Risk Decoding with Reference Aggregation](https://aclanthology.org/2024.acl-short.71/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
54. [LinguaLIFT: An Effective Two-stage Instruction Tuning Framework for Low-Resource Language Reasoning](https://arxiv.org/abs/2412.12499) *— 2024 · arXiv:2412.12499*
55. [LlamaCare: An Instruction Fine-Tuned Large Language Model for Clinical NLP](https://aclanthology.org/2024.lrec-main.930/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
56. [LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models](https://arxiv.org/abs/2403.13372) *— 2024 · arXiv:2403.13372*
57. [LocalRQA: From Generating Data to Locally Training, Testing, and Deploying Retrieval-Augmented QA Systems](https://aclanthology.org/2024.acl-demos.14/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
58. [LongForm: Effective Instruction Tuning with Reverse Instructions](https://aclanthology.org/2024.findings-emnlp.414/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
59. [LooGLE: Can Long-Context Language Models Understand Long Contexts?](https://aclanthology.org/2024.acl-long.859/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
60. [Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation](https://aclanthology.org/2024.findings-acl.211/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
61. [M5 – A Diverse Benchmark to Assess the Performance of Large Multimodal Models Across Multilingual and Multicultural Vision-Language Tasks](https://aclanthology.org/2024.findings-emnlp.250/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
62. [MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets](https://aclanthology.org/2024.naacl-long.288/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
63. [MCTS: A Multi-Reference Chinese Text Simplification Dataset](https://aclanthology.org/2024.lrec-main.969/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
64. [MELD-ST: An Emotion-aware Speech Translation Dataset](https://aclanthology.org/2024.findings-acl.601/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
65. [MERA: A Comprehensive LLM Evaluation in Russian](https://aclanthology.org/2024.acl-long.534/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
66. [METAL: Towards Multilingual Meta-Evaluation](https://aclanthology.org/2024.findings-naacl.148/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
67. [MGSA: Multi-Granularity Graph Structure Attention for Knowledge Graph-to-Text Generation](https://arxiv.org/abs/2409.10294) *— 2024 · arXiv:2409.10294*
68. [MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark](https://arxiv.org/abs/2402.04788) *— 2024 · arXiv:2402.04788*
69. [MLeVLM: Improve Multi-level Progressive Capabilities based on Multimodal Large Language Model for Medical Visual Question Answering](https://aclanthology.org/2024.findings-acl.296/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
70. [MM-SOC: Benchmarking Multimodal Large Language Models in Social Media Platforms](https://aclanthology.org/2024.findings-acl.370/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
71. [MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding](https://arxiv.org/abs/2407.04903) *— 2024 · arXiv:2407.04903*
72. [MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Language](https://aclanthology.org/2024.emnlp-main.634/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
73. [MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning](https://aclanthology.org/2024.findings-acl.69/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
74. [MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization](https://aclanthology.org/2024.findings-emnlp.577/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
75. [MORPHEUS: Modeling Role from Personalized Dialogue History by Exploring and Utilizing Latent Space](https://aclanthology.org/2024.emnlp-main.437/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
76. [MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs](https://aclanthology.org/2024.emnlp-main.979/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
77. [MPCoder: Multi-user Personalized Code Generator with Explicit and Implicit Style Representation Learning](https://aclanthology.org/2024.acl-long.207/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
78. [MSLC24 Submissions to the General Machine Translation Task](https://aclanthology.org/2024.wmt-1.7/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
79. [MT-Ranker: Reference-free machine translation evaluation by inter-system ranking](https://arxiv.org/abs/2401.17099) *— 2024 · arXiv:2401.17099*
80. [MUSCLE: A Model Update Strategy for Compatible LLM Evolution](https://aclanthology.org/2024.findings-emnlp.430/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
81. [MacGyver: Are Large Language Models Creative Problem Solvers?](https://aclanthology.org/2024.naacl-long.297/) *— 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. [Machine Translation Advancements of Low-Resource Indian Languages by Transfer Learning](https://aclanthology.org/2024.wmt-1.69/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
83. [MapGuide: A Simple yet Effective Method to Reconstruct Continuous Language from Brain Activities](https://aclanthology.org/2024.naacl-long.211/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
84. [MatchTime: Towards Automatic Soccer Game Commentary Generation](https://aclanthology.org/2024.emnlp-main.99/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
85. [Measuring Retrieval Complexity in Question Answering Systems](https://aclanthology.org/2024.findings-acl.872/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
86. [Measuring Uncertainty in Neural Machine Translation with Similarity-Sensitive Entropy](https://aclanthology.org/2024.eacl-long.129/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
87. [MedExQA: Medical Question Answering Benchmark with Multiple Explanations](https://aclanthology.org/2024.bionlp-1.14/) *— 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing*
88. [MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotations](https://aclanthology.org/2024.emnlp-main.936/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
89. [Medical Dialogue System: A Survey of Categories, Methods, Evaluation and Challenges](https://aclanthology.org/2024.findings-acl.167/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
90. [Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations](https://aclanthology.org/2024.eacl-long.56/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
91. [MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation via Meme Intervention](https://aclanthology.org/2024.acl-long.439/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
92. [MemeIntent: Benchmarking Intent Description Generation for Memes](https://aclanthology.org/2024.sigdial-1.54/) *— 2024 · Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
93. [Meta Large Language Model Compiler: Foundation Models of Compiler Optimization](https://arxiv.org/abs/2407.02524) *— 2024 · arXiv:2407.02524*
94. [Meta-Evaluation of Sentence Simplification Metrics](https://aclanthology.org/2024.lrec-main.981/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
95. [MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences](https://arxiv.org/abs/2410.02381) *— 2024 · arXiv:2410.02381*
96. [MetaSumPerceiver: Multimodal Multi-Document Evidence Summarization for Fact-Checking](https://aclanthology.org/2024.acl-long.474/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
97. [MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task](https://aclanthology.org/2024.wmt-1.35/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
98. [Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding](https://aclanthology.org/2024.findings-acl.937/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
99. [Mitigating Metric Bias in Minimum Bayes Risk Decoding](https://aclanthology.org/2024.wmt-1.109/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
100. [Mitigating Misleading Chain-of-Thought Reasoning with Selective Filtering](https://aclanthology.org/2024.lrec-main.990/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*

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