---
title: "Who cites Bleu: a Method for Automatic Evaluation of…"
description: "The papers of the Elamur Research library that cite «Bleu: a Method for Automatic Evaluation of Machine Translation», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/20/"
---
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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 20

10827 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/) · … · [19](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/19/) · **20** · [21](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/21/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [UoL-UPF at TSAR 2025 Shared Task A Generate-and-Select Approach for Readability-Controlled Text Simplification](https://aclanthology.org/2025.tsar-1.16/) *— 2025 · Proceedings of the Fourth Workshop on Text Simplification, Accessibility and Readability (TSAR 2025)*
2. [Using Encipherment to Isolate Conditions for the Successful Fine-tuning of Massively Multilingual Translation Models](https://aclanthology.org/2025.wmt-1.14/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
3. [Using Translation Techniques to Characterize MT Outputs](https://aclanthology.org/2025.mtsummit-1.47/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
4. [Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation](https://aclanthology.org/2025.emnlp-main.88/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
5. [VC4VG: Optimizing Video Captions for Text-to-Video Generation](https://aclanthology.org/2025.emnlp-main.59/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
6. [VCD: A Dataset for Visual Commonsense Discovery in Images](https://aclanthology.org/2025.findings-acl.290/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
7. [VELA: An LLM-Hybrid-as-a-Judge Approach for Evaluating Long Image Captions](https://aclanthology.org/2025.emnlp-main.438/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
8. [VLR-Bench: Multilingual Benchmark Dataset for Vision-Language Retrieval Augmented Generation](https://aclanthology.org/2025.coling-main.411/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
9. [VQA-Augmented Machine Translation with Cross-Modal Contrastive Learning](https://aclanthology.org/2025.findings-emnlp.536/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
10. [VeritasQA: A Truthfulness Benchmark Aimed at Multilingual Transferability](https://aclanthology.org/2025.coling-main.366/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
11. [VideoRAG: Retrieval-Augmented Generation over Video Corpus](https://aclanthology.org/2025.findings-acl.1096/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
12. [Vietnamese–English Medical Domain Machine Translation with LLMs and GRPO Optimization Using Verified Rewards](https://aclanthology.org/2025.vlsp-1.45/) *— 2025 · Proceedings of the 11th International Workshop on Vietnamese Language and Speech Processing*
13. [VividMed: Vision Language Model with Versatile Visual Grounding for Medicine](https://aclanthology.org/2025.naacl-long.89/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
14. [Vuyko Mistral: Adapting LLMs for Low-Resource Dialectal Translation](https://aclanthology.org/2025.unlp-1.10/) *— 2025 · Proceedings of the Fourth Ukrainian Natural Language Processing Workshop (UNLP 2025)*
15. [WETBench: A Benchmark for Detecting Task-Specific Machine-Generated Text on Wikipedia](https://aclanthology.org/2025.wikinlp-1.6/) *— 2025 · Proceedings of the 2nd Workshop on Advancing Natural Language Processing for Wikipedia (WikiNLP 2025)*
16. [WMT 2025 CreoleMT Systems Description : Martinican Creole and French](https://aclanthology.org/2025.wmt-1.94/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
17. [WMT24++: Expanding the Language Coverage of WMT24 to 55 Languages & Dialects](https://aclanthology.org/2025.findings-acl.634/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
18. [Warmup Generations: A Task-Agnostic Approach for Guiding Sequence-to-Sequence Learning with Unsupervised Initial State Generation](https://aclanthology.org/2025.acl-long.434/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [Watching the Watchers: Exposing Gender Disparities in Machine Translation Quality Estimation](https://aclanthology.org/2025.acl-long.1228/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
20. [Watermark under Fire: A Robustness Evaluation of LLM Watermarking](https://aclanthology.org/2025.findings-emnlp.1148/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
21. [Wav2Prompt: End-to-End Speech Prompt Learning and Task-based Fine-tuning for Text-based LLMs](https://aclanthology.org/2025.naacl-long.354/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
22. [We Argue to Agree: Towards Personality-Driven Argumentation-Based Negotiation Dialogue Systems for Tourism](https://aclanthology.org/2025.findings-emnlp.1390/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
23. [WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation](https://aclanthology.org/2025.emnlp-main.1276/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
24. [What Matters in Evaluating Book-Length Stories? A Systematic Study of Long Story Evaluation](https://aclanthology.org/2025.acl-long.799/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
25. [What can Large Language Models Capture about Code Functional Equivalence?](https://aclanthology.org/2025.findings-naacl.382/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
26. [What's the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns](https://aclanthology.org/2025.acl-long.985/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
27. [When Harry Meets Superman: The Role of The Interlocutor in Persona-Based Dialogue Generation](https://aclanthology.org/2025.acl-long.879/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
28. [When Scripts Diverge: Strengthening Low-Resource Neural Machine Translation Through Phonetic Cross-Lingual Transfer](https://aclanthology.org/2025.mrl-main.22/) *— 2025 · Proceedings of the 5th Workshop on Multilingual Representation Learning (MRL 2025)*
29. [Where and How as Key Factors for Knowledge-Enhanced Constrained Commonsense Generation](https://aclanthology.org/2025.ranlp-1.80/) *— 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era*
30. [Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore](https://aclanthology.org/2025.coling-main.684/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
31. [Why Personalizing Deep Learning-Based Code Completion Tools Matters](https://arxiv.org/abs/2503.14201) *— 2025 · arXiv:2503.14201*
32. [Why should only High-Resource-Languages have all the fun? Pivot Based Evaluation in Low Resource Setting](https://aclanthology.org/2025.coling-main.320/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
33. [WisPerMed @ PerAnsSumm 2025: Strong Reasoning Through Structured Prompting and Careful Answer Selection Enhances Perspective Extraction and Summarization of Healthcare Forum Threads](https://aclanthology.org/2025.cl4health-1.32/) *— 2025 · Proceedings of the Second Workshop on Patient-Oriented Language Processing (CL4Health)*
34. [WisPerMed at ArchEHR-QA 2025: A Modular, Relevance-First Approach for Grounded Question Answering on Eletronic Health Records](https://aclanthology.org/2025.bionlp-share.5/) *— 2025 · Proceedings of the 24th Workshop on Biomedical Language Processing (Shared Tasks)*
35. [Writing Like the Best: Exemplar-Based Expository Text Generation](https://aclanthology.org/2025.acl-long.1250/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
36. [X-FLoRA: Cross-modal Federated Learning with Modality-expert LoRA for Medical VQA](https://aclanthology.org/2025.emnlp-main.422/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
37. [YESciEval: Robust LLM-as-a-Judge for Scientific Question Answering](https://aclanthology.org/2025.acl-long.675/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
38. [YaleNLP @ PerAnsSumm 2025: Multi-Perspective Integration via Mixture-of-Agents for Enhanced Healthcare QA Summarization](https://aclanthology.org/2025.cl4health-1.38/) *— 2025 · Proceedings of the Second Workshop on Patient-Oriented Language Processing (CL4Health)*
39. [You Are What You Train: Effects of Data Composition on Training Context-aware Machine Translation Models](https://aclanthology.org/2025.emnlp-main.1394/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
40. [Zero-shot Cross-lingual NER via Mitigating Language Difference: An Entity-aligned Translation Perspective](https://aclanthology.org/2025.findings-emnlp.244/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
41. [Zero-shot OCR Accuracy of Low-Resourced Languages: A Comparative Analysis on Sinhala and Tamil](https://aclanthology.org/2025.ranlp-1.56/) *— 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era*
42. [“Yes, My LoRD.” Guiding Language Model Extraction with Locality Reinforced Distillation](https://aclanthology.org/2025.acl-long.73/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
43. [bytF: How Good Are Byte Level N-Gram F-Scores for Automatic Machine Translation Evaluation?](https://aclanthology.org/2025.mtsummit-1.29/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
44. [gec-metrics: A Unified Library for Grammatical Error Correction Evaluation](https://aclanthology.org/2025.acl-demo.50/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
45. [goodmen @ L-MT Shared Task: A Comparative Study of Neural Models for English-Hindi Legal Machine Translation](https://aclanthology.org/2025.justnlp-main.13/) *— 2025 · Proceedings of the 1st Workshop on NLP for Empowering Justice (JUST-NLP 2025)*
46. [heiDS at ArchEHR-QA 2025: From Fixed-k to Query-dependent-k for Retrieval Augmented Generation](https://aclanthology.org/2025.bionlp-share.6/) *— 2025 · Proceedings of the 24th Workshop on Biomedical Language Processing (Shared Tasks)*
47. [mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus](https://aclanthology.org/2025.findings-acl.180/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
48. [mR3: Multilingual Rubric-Agnostic Reward Reasoning Models](https://arxiv.org/abs/2510.01146) *— 2025 · arXiv:2510.01146*
49. [Évaluation de la Robustesse des LLM : Proposition d”un Cadre Méthodologique et Développement d”un Benchmark](https://aclanthology.org/2025.jeptalnrecital-evalllm.13/) *— 2025 · Actes de l'atelier Évaluation des modèles génératifs (LLM) et challenge 2025 (EvalLLM)*
50. [基于LLM与跨语言嵌入的中亚低资源语言平行语料库构建方法](https://aclanthology.org/2025.ccl-1.36/) *— 2025 · Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)*
51. [大语言模型的工具使用综述](https://www.aas.net.cn/cn/article/doi/10.16383/j.aas.c240793) *— 2025 · 自动化学报 (Acta Automatica Sinica)*
52. [目标自适应的可解释立场检测:新任务及大模型实验](https://aclanthology.org/2025.ccl-1.23/) *— 2025 · Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)*
53. [面向工艺规范的树结构检索增强生成方法研究](https://aclanthology.org/2025.ccl-1.12/) *— 2025 · Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)*
54. [***YesBut***: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models](https://aclanthology.org/2024.emnlp-main.937/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
55. [3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset](https://aclanthology.org/2024.lrec-main.1/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
56. [3D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes](https://arxiv.org/abs/2410.11133) *— 2024 · arXiv:2410.11133*
57. [A + B: A General Generator-Reader Framework for Optimizing LLMs to Unleash Synergy Potential](https://aclanthology.org/2024.findings-acl.219/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
58. [A Call for Clarity in Beam Search: How It Works and When It Stops](https://aclanthology.org/2024.lrec-main.7/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
59. [A Case Study on Context-Aware Neural Machine Translation with Multi-Task Learning](https://aclanthology.org/2024.eamt-1.21/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
60. [A Case Study on Contextual Machine Translation in a Professional Scenario of Subtitling](https://aclanthology.org/2024.eamt-1.46/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
61. [A Causal Approach for Counterfactual Reasoning in Narratives](https://aclanthology.org/2024.acl-long.354/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
62. [A Comparative Analysis of Conversational Large Language Models in Knowledge-Based Text Generation](https://aclanthology.org/2024.eacl-short.31/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)*
63. [A Comparative Analysis of Noise Reduction Methods in Sentiment Analysis on Noisy Bangla Texts](https://aclanthology.org/2024.wnut-1.5/) *— 2024 · Proceedings of the Ninth Workshop on Noisy and User-generated Text (W-NUT 2024)*
64. [A Comparative Multidimensional Analysis of Empathetic Systems](https://aclanthology.org/2024.eacl-long.11/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
65. [A Comparison of Fine-Tuning and In-Context Learning for Clause-Level Morphosyntactic Alternation](https://aclanthology.org/2024.americasnlp-1.21/) *— 2024 · Proceedings of the 4th Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP 2024)*
66. [A Comprehensive Analysis of Memorization in Large Language Models](https://aclanthology.org/2024.inlg-main.45/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
67. [A Critical Look at Meta-evaluating Summarisation Evaluation Metrics](https://aclanthology.org/2024.findings-emnlp.869/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
68. [A Cross-Lingual Statutory Article Retrieval Dataset for Taiwan Legal Studies](https://arxiv.org/abs/2410.11450) *— 2024 · arXiv:2410.11450*
69. [A Data-Driven Guided Decoding Mechanism for Diagnostic Captioning](https://aclanthology.org/2024.findings-acl.444/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
70. [A Family of Pretrained Transformer Language Models for Russian](https://aclanthology.org/2024.lrec-main.45/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
71. [A Few-shot Approach to Task-oriented Dialogue Enhanced with Chitchat](https://aclanthology.org/2024.sigdial-1.50/) *— 2024 · Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
72. [A Hong Kong Sign Language Corpus Collected from Sign-interpreted TV News](https://aclanthology.org/2024.lrec-main.55/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
73. [A LLM-based Ranking Method for the Evaluation of Automatic Counter-Narrative Generation](https://aclanthology.org/2024.findings-emnlp.559/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
74. [A Large-scale Empirical Study on Fine-tuning Large Language Models for Unit Testing](https://arxiv.org/abs/2412.16620) *— 2024 · arXiv:2412.16620*
75. [A Lightweight Mixture-of-Experts Neural Machine Translation Model with Stage-wise Training Strategy](https://aclanthology.org/2024.findings-naacl.154/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
76. [A Multi-Aspect Framework for Counter Narrative Evaluation using Large Language Models](https://aclanthology.org/2024.naacl-short.14/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)*
77. [A Multi-Task Transformer Model for Fine-grained Labelling of Chest X-Ray Reports](https://aclanthology.org/2024.lrec-main.78/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
78. [A Multimodal French Corpus of Aligned Speech, Text, and Pictogram Sequences for Speech-to-Pictogram Machine Translation](https://aclanthology.org/2024.lrec-main.76/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
79. [A Multimodal In-Context Tuning Approach for E-Commerce Product Description Generation](https://aclanthology.org/2024.lrec-main.77/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
80. [A Neuro-Symbolic Approach to Monitoring Salt Content in Food](https://aclanthology.org/2024.cl4health-1.11/) *— 2024 · Proceedings of the First Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC-COLING 2024*
81. [A New Benchmark for Kalaallisut-Danish Neural Machine Translation](https://aclanthology.org/2024.americasnlp-1.7/) *— 2024 · Proceedings of the 4th Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP 2024)*
82. [A Non-autoregressive Generation Framework for End-to-End Simultaneous Speech-to-Any Translation](https://aclanthology.org/2024.acl-long.85/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
83. [A Novel Paradigm Boosting Translation Capabilities of Large Language Models](https://aclanthology.org/2024.findings-naacl.42/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
84. [A Novel Two-step Fine-tuning Framework for Transfer Learning in Low-Resource Neural Machine Translation](https://aclanthology.org/2024.findings-naacl.203/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
85. [A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models](https://aclanthology.org/2024.lrec-main.120/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
86. [A Preference-driven Paradigm for Enhanced Translation with Large Language Models](https://aclanthology.org/2024.naacl-long.186/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
87. [A Preliminary Study of ChatGPT for Spanish E2R Text Adaptation](https://aclanthology.org/2024.lrec-main.126/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
88. [A Reinforcement Learning Approach to Improve Low-Resource Machine Translation Leveraging Domain Monolingual Data](https://aclanthology.org/2024.lrec-main.132/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
89. [A Review of Large Language Models and Autonomous Agents in Chemistry](https://arxiv.org/abs/2407.01603) *— 2024 · arXiv:2407.01603*
90. [A Self-verified Method for Exploring Simile Knowledge from Pre-trained Language Models](https://aclanthology.org/2024.lrec-main.138/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
91. [A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts](https://aclanthology.org/2024.acl-long.357/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
92. [A Survey of AMR Applications](https://aclanthology.org/2024.emnlp-main.390/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
93. [A Survey of Text Style Transfer: Applications and Ethical Implications](https://arxiv.org/abs/2407.16737) *— 2024 · arXiv:2407.16737*
94. [A Survey on Deep Learning for Theorem Proving](https://arxiv.org/abs/2404.09939) *— 2024 · arXiv:2404.09939*
95. [A Survey on LLM-as-a-Judge](https://arxiv.org/abs/2411.15594) *— 2024 · arXiv:2411.15594*
96. [A Survey on Large Language Models for Code Generation](https://arxiv.org/abs/2406.00515) *— 2024 · arXiv:2406.00515*
97. [A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law](https://arxiv.org/abs/2405.01769) *— 2024 · arXiv:2405.01769*
98. [A Survey on Natural Language Counterfactual Generation](https://aclanthology.org/2024.findings-emnlp.276/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
99. [A Survey on Natural Language Processing for Programming](https://aclanthology.org/2024.lrec-main.149/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
100. [A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems](https://arxiv.org/abs/2402.18013) *— 2024 · arXiv:2402.18013*

Pages: [1](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/) · … · [19](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/19/) · **20** · [21](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/21/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)