---
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/19/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/19/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Bleu: a Method for Automatic Evaluation of…](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/) / cited by

# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 19

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/) · … · [18](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/18/) · **19** · [20](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/20/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [TaxoAlign: Scholarly Taxonomy Generation Using Language Models](https://aclanthology.org/2025.emnlp-main.1536/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
2. [Team ACK at SemEval-2025 Task 2: Beyond Word-for-Word Machine Translation for English-Korean Pairs](https://aclanthology.org/2025.semeval-1.309/) *— 2025 · Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)*
3. [Team Conversational AI: Introducing Effervesce](https://aclanthology.org/2025.nlp4dh-1.43/) *— 2025 · Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities*
4. [TeluguST-46: A Benchmark Corpus and Comprehensive Evaluation for Telugu-English Speech Translation](https://aclanthology.org/2025.findings-ijcnlp.77/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
5. [TensorBLEU: Vectorized GPU-based BLEU Score Implementation for Per-Sentence In-Training Evaluation](https://arxiv.org/abs/2510.05485) *— 2025 · arXiv:2510.05485*
6. [TermGPT: Multi-Level Contrastive Fine-Tuning for Terminology Adaptation in Legal and Financial Domain](https://arxiv.org/abs/2511.09854) *— 2025 · arXiv:2511.09854*
7. [Terminology-Constrained Translation from Monolingual Data Using GRPO](https://aclanthology.org/2025.wmt-1.111/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
8. [Testing LLMs” Capabilities in Annotating Translations Based on an Error Typology Designed for LSP Translation: First Experiments with ChatGPT](https://aclanthology.org/2025.mtsummit-1.15/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
9. [Text Generation Models for Luxembourgish with Limited Data: A Balanced Multilingual Strategy](https://aclanthology.org/2025.vardial-1.7/) *— 2025 · Proceedings of the 12th Workshop on NLP for Similar Languages, Varieties and Dialects*
10. [Text Normalization for Sentiment Analysis in Japanese Social Media](https://aclanthology.org/2025.wnut-1.16/) *— 2025 · Proceedings of the Tenth Workshop on Noisy and User-generated Text*
11. [Text Overlap: An LLM with Human-like Conversational Behaviors](https://aclanthology.org/2025.sicon-1.10/) *— 2025 · Proceedings of the Third Workshop on Social Influence in Conversations (SICon 2025)*
12. [ThaiOCRBench: A Task-Diverse Benchmark for Vision-Language Understanding in Thai](https://aclanthology.org/2025.ijcnlp-long.89/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
13. [The Arabic AI Fingerprint: Stylometric Analysis and Detection of Large Language Models Text](https://arxiv.org/abs/2505.23276) *— 2025 · arXiv:2505.23276*
14. [The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models](https://aclanthology.org/2025.naacl-long.303/) *— 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)*
15. [The Comparative Trap: Pairwise Comparisons Amplifies Biased Preferences of LLM Evaluators](https://aclanthology.org/2025.blackboxnlp-1.5/) *— 2025 · Proceedings of the 8th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP*
16. [The First Workshop on Multilingual Counterspeech Generation at COLING 2025: Overview of the Shared Task](https://aclanthology.org/2025.mcg-1.10/) *— 2025 · Proceedings of the First Workshop on Multilingual Counterspeech Generation*
17. [The Hidden Structure -- Improving Legal Document Understanding Through Explicit Text Formatting](https://arxiv.org/abs/2505.12837) *— 2025 · arXiv:2505.12837*
18. [The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs](https://aclanthology.org/2025.emnlp-main.1761/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
19. [The Illusion of a Perfect Metric: Why Evaluating AI ́S Words Is Harder than It Looks](https://aclanthology.org/2025.ranlp-1.95/) *— 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era*
20. [The Impact of Auxiliary Patient Data on Automated Chest X-Ray Report Generation and How to Incorporate It](https://aclanthology.org/2025.acl-long.9/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
21. [The Learning Dynamics of Subword Segmentation for Morphologically Diverse Languages](https://aclanthology.org/2025.ijcnlp-long.36/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
22. [The MultiGEC-2025 Shared Task on Multilingual Grammatical Error Correction at NLP4CALL](https://aclanthology.org/2025.nlp4call-1.1/) *— 2025 · Proceedings of the 14th Workshop on Natural Language Processing for Computer Assisted Language Learning*
23. [The Paradox of Poetic Intent in Back-Translation: Evaluating the Quality of Large Language Models in Chinese Translation](https://arxiv.org/abs/2504.16286) *— 2025 · arXiv:2504.16286*
24. [The Role of Handling Attributive Nouns in Improving Chinese-To-English Machine Translation](https://aclanthology.org/2025.bucc-1.7/) *— 2025 · Proceedings of the 18th Workshop on Building and Using Comparable Corpora (BUCC)*
25. [The Stochastic Parrot on LLM”s Shoulder: A Summative Assessment of Physical Concept Understanding](https://aclanthology.org/2025.naacl-long.569/) *— 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)*
26. [The Threat of PROMPTS in Large Language Models: A System and User Prompt Perspective](https://aclanthology.org/2025.findings-acl.675/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
27. [Thesis Proposal: A NeuroSymbolic Approach to Control Task-Oriented Dialog Systems](https://aclanthology.org/2025.ijcnlp-srw.15/) *— 2025 · The 14th International Joint Conference on Natural Language Processing and The 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
28. [Think Both Ways: Teacher-Student Bidirectional Reasoning Enhances MCQ Generation and Distractor Quality](https://aclanthology.org/2025.findings-acl.432/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
29. [Thinker-DDM: Modeling Deliberation for Machine Translation with a Drift-Diffusion Process](https://aclanthology.org/2025.alta-main.4/) *— 2025 · Proceedings of the 23rd Annual Workshop of the Australasian Language Technology Association*
30. [Time Travel: A Comprehensive Benchmark to Evaluate LMMs on Historical and Cultural Artifacts](https://aclanthology.org/2025.findings-acl.1211/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
31. [Timestep Embeddings Trigger Collapse in Diffusion Text Generation](https://aclanthology.org/2025.conll-1.26/) *— 2025 · Proceedings of the 29th Conference on Computational Natural Language Learning*
32. [TinyMentalLLMs Enable Depression Detection in Chinese Social Media Texts](https://aclanthology.org/2025.ranlp-1.157/) *— 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era*
33. [TituLLMs: A Family of Bangla LLMs with Comprehensive Benchmarking](https://aclanthology.org/2025.findings-acl.1279/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
34. [Token-Budget-Aware LLM Reasoning](https://aclanthology.org/2025.findings-acl.1274/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
35. [Tokenization on Trial: The Case of Kalaallisut–Danish Legal Machine Translation](https://aclanthology.org/2025.nodalida-1.52/) *— 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)*
36. [TopXGen: Topic-Diverse Parallel Data Generation for Low-Resource Machine Translation](https://aclanthology.org/2025.findings-emnlp.1217/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
37. [Toward Global AI Inclusivity: A Large-Scale Multilingual Terminology Dataset (GIST)](https://aclanthology.org/2025.findings-acl.1148/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
38. [Toward Human-Centered Readability Evaluation](https://aclanthology.org/2025.hcinlp-1.22/) *— 2025 · Proceedings of the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP)*
39. [Toward Machine Translation Literacy: How Lay Users Perceive and Rely on Imperfect Translations](https://aclanthology.org/2025.emnlp-main.1725/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
40. [Towards A “Novel” Benchmark: Evaluating Literary Fiction with Large Language Models](https://aclanthology.org/2025.findings-acl.1114/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
41. [Towards Automatic Evaluation for Image Transcreation](https://aclanthology.org/2025.naacl-long.359/) *— 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)*
42. [Towards Better Evaluation for Generated Patent Claims](https://aclanthology.org/2025.acl-long.190/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
43. [Towards Building Large Scale Datasets and State-of-the-Art Automatic Speech Translation Systems for 14 Indian Languages](https://aclanthology.org/2025.acl-long.1582/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
44. [Towards Conditioning Clinical Text Generation for User Control](https://aclanthology.org/2025.findings-acl.549/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
45. [Towards Cross-Lingual Explanation of Artwork in Large-scale Vision Language Models](https://aclanthology.org/2025.findings-naacl.209/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
46. [Towards Database-Free Text-to-SQL Evaluation: A Graph-Based Metric for Functional Correctness](https://aclanthology.org/2025.coling-main.308/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
47. [Towards Developmentally Plausible Rewards: Communicative Success as a Learning Signal for Interactive Language Models](https://arxiv.org/abs/2505.05970) *— 2025 · arXiv:2505.05970*
48. [Towards Explainable Temporal Reasoning in Large Language Models: A Structure-Aware Generative Framework](https://aclanthology.org/2025.findings-acl.378/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
49. [Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey](https://aclanthology.org/2025.emnlp-main.514/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
50. [Towards Improving Low-Resource Machine Translation with Lightweight Training and Synthetic Data: Case Study of Vietnamese - Khmer](https://aclanthology.org/2025.paclic-1.4/) *— 2025 · Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation*
51. [Towards Inducing Long-Context Abilities in Multilingual Neural Machine Translation Models](https://aclanthology.org/2025.naacl-long.366/) *— 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)*
52. [Towards LLM-powered Attentive Listener: A Pragmatic Approach through Quantity Self-Repair](https://aclanthology.org/2025.acl-short.1/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
53. [Towards Lifelong Dialogue Agents via Timeline-based Memory Management](https://aclanthology.org/2025.naacl-long.435/) *— 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)*
54. [Towards Multimodal Question Answering in Educational Domain](https://aclanthology.org/2025.findings-ijcnlp.101/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
55. [Towards Safer Hebrew Communication: A Dataset for Offensive Language Detoxification](https://md.research.elamur.ai/free/en/papers/aclbulk-2025-vanetik-safer-hebrew-communication-dataset-offensive/) *— our card · 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era*
56. [Towards Zero-Shot Multimodal Machine Translation](https://aclanthology.org/2025.findings-naacl.45/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
57. [Towards the Machine Translation of Scientific Neologisms](https://aclanthology.org/2025.coling-main.63/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
58. [Train It and Forget It: Merge Lists are Unnecessary for BPE Inference in Language Models](https://aclanthology.org/2025.emnlp-main.1775/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
59. [Train and Constrain: Phonologically Informed Tongue Twister Generation from Topics and Paraphrases](https://aclanthology.org/2025.cl-2.2/) *— 2025 · Computational Linguistics*
60. [Trainable Reference-Based Evaluation Metric for Identifying Quality of English-Gujarati Machine Translation System](https://arxiv.org/abs/2510.05113) *— 2025 · arXiv:2510.05113*
61. [Training-free LLM Merging for Multi-task Learning](https://aclanthology.org/2025.acl-long.1588/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
62. [TransBench: Benchmarking Machine Translation for Industrial-Scale Applications](https://arxiv.org/abs/2505.14244) *— 2025 · arXiv:2505.14244*
63. [TransEvalnia: Reasoning-based Evaluation and Ranking of Translations](https://arxiv.org/abs/2507.12724) *— 2025 · arXiv:2507.12724*
64. [Transforming Code Understanding: Clustering-Based Retrieval for Improved Summarization in Domain-Specific Languages](https://aclanthology.org/2025.coling-industry.47/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics: Industry Track*
65. [Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation](https://arxiv.org/abs/2502.05151) *— 2025 · arXiv:2502.05151*
66. [Translate With Care: Addressing Gender Bias, Neutrality, and Reasoning in Large Language Model Translations](https://aclanthology.org/2025.findings-acl.26/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
67. [Translating Movie Subtitles by Large Language Models using Movie-meta Information](https://aclanthology.org/2025.acl-srw.22/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
68. [Translation Analytics for Freelancers: I. Introduction, Data Preparation, Baseline Evaluations](https://aclanthology.org/2025.mtsummit-1.42/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
69. [Translation Entropy: A Statistical Framework for Evaluating Translation Systems](https://arxiv.org/abs/2511.13180) *— 2025 · arXiv:2511.13180*
70. [Translationese-index: Using Likelihood Ratios for Graded and Generalizable Measurement of Translationese](https://aclanthology.org/2025.emnlp-main.633/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
71. [TrapDoc: Deceiving LLM Users by Injecting Imperceptible Phantom Tokens into Documents](https://aclanthology.org/2025.findings-emnlp.1027/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
72. [Tree-Structured Non-Autoregressive Decoding for Sequence-to-Sequence Text Generation](https://aclanthology.org/2025.findings-emnlp.327/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
73. [Tree-of-Quote Prompting Improves Factuality and Attribution in Multi-Hop and Medical Reasoning](https://aclanthology.org/2025.emnlp-main.285/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
74. [TreeRAG: Unleashing the Power of Hierarchical Storage for Enhanced Knowledge Retrieval in Long Documents](https://aclanthology.org/2025.findings-acl.20/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
75. [TrenTeam at Multilingual Counterspeech Generation: Multilingual Passage Re-Ranking Approaches for Knowledge-Driven Counterspeech Generation Against Hate](https://aclanthology.org/2025.mcg-1.9/) *— 2025 · Proceedings of the First Workshop on Multilingual Counterspeech Generation*
76. [Trust but Verify: A Comprehensive Survey of Faithfulness Evaluation Methods in Abstractive Text Summarization](https://aclanthology.org/2025.ranlp-1.74/) *— 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era*
77. [TruthTorchLM: A Comprehensive Library for Predicting Truthfulness in LLM Outputs](https://aclanthology.org/2025.emnlp-demos.54/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
78. [Tuning Less, Prompting More: In-Context Preference Learning Pipeline for Natural Language Transformation](https://aclanthology.org/2025.emnlp-main.737/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
79. [Two Step Automatic Post Editing of Patent Machine Translation based on Pre-trained Encoder Models and LLMs](https://aclanthology.org/2025.ijcnlp-srw.19/) *— 2025 · The 14th International Joint Conference on Natural Language Processing and The 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
80. [Two-stage Incomplete Utterance Rewriting on Editing Operation](https://aclanthology.org/2025.coling-main.33/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
81. [UAM-CSI at MultiGEC-2025: Parameter-efficient LLM Fine-tuning for Multilingual Grammatical Error Correction](https://aclanthology.org/2025.nlp4call-1.3/) *— 2025 · Proceedings of the 14th Workshop on Natural Language Processing for Computer Assisted Language Learning*
82. [UIC at ArchEHR-QA 2025: Tri-Step Pipeline for Reliable Grounded Medical Question Answering](https://aclanthology.org/2025.bionlp-share.14/) *— 2025 · Proceedings of the 24th Workshop on Biomedical Language Processing (Shared Tasks)*
83. [UTER: Capturing the Human Touch in Evaluating Morphologically Rich and Low-Resource Languages](https://aclanthology.org/2025.loresmt-1.3/) *— 2025 · Proceedings of the Eighth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2025)*
84. [UTSA-NLP at ArchEHR-QA 2025: Improving EHR Question Answering via Self-Consistency Prompting](https://aclanthology.org/2025.bionlp-share.10/) *— 2025 · Proceedings of the 24th Workshop on Biomedical Language Processing (Shared Tasks)*
85. [UTSamuel at ArchEHR-QA 2025: A Clinical Question Answering System for Responding to Patient Portal Messages Using Generative AI](https://aclanthology.org/2025.bionlp-share.11/) *— 2025 · Proceedings of the 24th Workshop on Biomedical Language Processing (Shared Tasks)*
86. [Uncovering Scaling Laws for Large Language Models via Inverse Problems](https://aclanthology.org/2025.findings-emnlp.1373/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
87. [Understand User Opinions of Large Language Models via LLM-Powered In-the-Moment User Experience Interviews](https://aclanthology.org/2025.findings-acl.714/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
88. [Understanding In-Context Machine Translation for Low-Resource Languages: A Case Study on Manchu](https://aclanthology.org/2025.acl-long.429/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
89. [Understanding the Repeat Curse in Large Language Models from a Feature Perspective](https://aclanthology.org/2025.findings-acl.406/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
90. [Une Approche Linguistique pour l'Évaluation des Caractéristiques du Langage Parlé dans les Modèles Conversationnels](https://aclanthology.org/2025.jeptalnrecital-evalllm.21/) *— 2025 · Actes de l'atelier Évaluation des modèles génératifs (LLM) et challenge 2025 (EvalLLM)*
91. [UniBuc-SB at ArchEHR-QA 2025: A Resource-Constrained Pipeline for Relevance Classification and Grounded Answer Synthesis](https://aclanthology.org/2025.bionlp-share.7/) *— 2025 · Proceedings of the 24th Workshop on Biomedical Language Processing (Shared Tasks)*
92. [UniOr PET: An Online Platform for Translation Post-Editing](https://aclanthology.org/2025.mtsummit-2.14/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 2*
93. [UniRAG: Universal Retrieval Augmentation for Large Vision Language Models](https://aclanthology.org/2025.findings-naacl.108/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
94. [Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI Tutors](https://aclanthology.org/2025.naacl-long.57/) *— 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)*
95. [Unifying Continuous and Discrete Text Diffusion with Non-simultaneous Diffusion Processes](https://aclanthology.org/2025.acl-long.565/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
96. [Unraveling Interwoven Roles of Large Language Models in Authorship Privacy: Obfuscation, Mimicking, and Verification](https://aclanthology.org/2025.emnlp-main.753/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
97. [Unstructured Minds, Predictable Machines: A Comparative Study of Narrative Cohesion in Human and LLM Stream-of-Consciousness Writing](https://aclanthology.org/2025.acl-srw.85/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
98. [Unveiling Stereotypes: Combining Knowledge Graphs and LLMs for Implied Stereotype Generation](https://aclanthology.org/2025.clicit-1.33/) *— 2025 · Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)*
99. [Unveiling the Potential of BERT-family: A New Recipe for Building Scalable, General and Competitive Large Language Models](https://aclanthology.org/2025.acl-long.1441/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
100. [Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation](https://aclanthology.org/2025.acl-long.149/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*

Pages: [1](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/) · … · [18](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/18/) · **19** · [20](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/20/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)