---
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/14/"
---
[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/14/)

[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 14

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/) · … · [13](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/13/) · **14** · [15](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/15/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [JU-NLP: Improving Low-Resource Indic Translation System with Efficient LoRA-Based Adaptation](https://aclanthology.org/2025.wmt-1.95/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
2. [JUDGEBERT: Assessing Legal Meaning Preservation Between Sentences](https://aclanthology.org/2025.emnlp-main.5/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
3. [JoPA: Explaining Large Language Model”s Generation via Joint Prompt Attribution](https://aclanthology.org/2025.acl-long.1074/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [Just Go Parallel: Improving the Multilingual Capabilities of Large Language Models](https://aclanthology.org/2025.acl-long.1602/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
5. [K-CoT:基于关键词思维链提示的中文排比句生成研究](https://aclanthology.org/2025.ccl-1.27/) *— 2025 · Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)*
6. [KARRIEREWEGE: A large scale Career Path Prediction Dataset](https://aclanthology.org/2025.coling-industry.46/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics: Industry Track*
7. [KBAlign: Efficient Self Adaptation on Specific Textual Knowledge Bases](https://aclanthology.org/2025.findings-emnlp.728/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
8. [KEFT: Knowledge-Enhanced Fine-Tuning for Large Language Models in Domain-Specific Question Answering](https://aclanthology.org/2025.tacl-1.49/) *— 2025 · Transactions of the Association for Computational Linguistics*
9. [KELE: A Multi-Agent Framework for Structured Socratic Teaching with Large Language Models](https://aclanthology.org/2025.findings-emnlp.888/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
10. [KERL: Knowledge-Enhanced Personalized Recipe Recommendation using Large Language Models](https://aclanthology.org/2025.acl-long.938/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
11. [KG-TRICK: Unifying Textual and Relational Information Completion of Knowledge for Multilingual Knowledge Graphs](https://aclanthology.org/2025.coling-main.611/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
12. [KHU_LDI at BioLaySumm2025: Fine-tuning and Refinement for Lay Radiology Report Generation](https://aclanthology.org/2025.bionlp-share.31/) *— 2025 · Proceedings of the 24th Workshop on Biomedical Language Processing (Shared Tasks)*
13. [KIA: Knowledge-Guided Implicit Vision-Language Alignment for Chest X-Ray Report Generation](https://aclanthology.org/2025.coling-main.276/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
14. [KR Labs at ArchEHR-QA 2025: A Verbatim Approach for Evidence-Based Question Answering](https://aclanthology.org/2025.bionlp-share.8/) *— 2025 · Proceedings of the 24th Workshop on Biomedical Language Processing (Shared Tasks)*
15. [KWordinaryVQA: A Keyword-Driven Generative Visual Question Answering System for Culinary Exploration](https://aclanthology.org/2025.paclic-1.31/) *— 2025 · Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation*
16. [Knowledge-Augmented Multimodal Clinical Rationale Generation for Disease Diagnosis with Small Language Models](https://aclanthology.org/2025.acl-long.540/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
17. [KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting](https://aclanthology.org/2025.coling-main.268/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
18. [KoBLEX: Open Legal Question Answering with Multi-hop Reasoning](https://aclanthology.org/2025.emnlp-main.200/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
19. [KokoroChat: A Japanese Psychological Counseling Dialogue Dataset Collected via Role-Playing by Trained Counselors](https://aclanthology.org/2025.acl-long.608/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
20. [KozKreolMRU WMT 2025 CreoleMT System Description: Koz Kreol: Multi-Stage Training for English–Mauritian Creole MT](https://aclanthology.org/2025.wmt-1.92/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
21. [Krey-All WMT 2025 CreoleMT System Description: Language Agnostic Strategies for Low-Resource Translation](https://aclanthology.org/2025.wmt-1.90/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
22. [KwaiChat: A Large-Scale Video-Driven Multilingual Mixed-Type Dialogue Corpus](https://aclanthology.org/2025.findings-naacl.121/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
23. [LAB-KG: A Retrieval-Augmented Generation Method with Knowledge Graphs for Medical Lab Test Interpretation](https://aclanthology.org/2025.neusymbridge-1.5/) *— 2025 · Proceedings of Bridging Neurons and Symbols for Natural Language Processing and Knowledge Graphs Reasoning @ COLING 2025*
24. [LAG-MMLU: Benchmarking Frontier LLM Understanding in Latvian and Giriama](https://aclanthology.org/2025.nodalida-1.12/) *— 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)*
25. [LAMAR at ArchEHR-QA 2025: Clinically Aligned LLM-Generated Few-Shot Learning for EHR-Grounded Patient Question Answering](https://aclanthology.org/2025.bionlp-share.12/) *— 2025 · Proceedings of the 24th Workshop on Biomedical Language Processing (Shared Tasks)*
26. [LC-Eval: A Bilingual Multi-Task Evaluation Benchmark for Long-Context Understanding](https://aclanthology.org/2025.findings-emnlp.1057/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
27. [LEXam: Benchmarking Legal Reasoning on 340 Law Exams](https://arxiv.org/abs/2505.12864) *— 2025 · arXiv:2505.12864*
28. [LIMICS at ArchEHR-QA 2025: Prompting LLMs Beats Fine-Tuned Embeddings](https://aclanthology.org/2025.bionlp-share.18/) *— 2025 · Proceedings of the 24th Workshop on Biomedical Language Processing (Shared Tasks)*
29. [LLM Agents Implement an NLG System from Scratch: Building Interpretable Rule-Based RDF-to-Text Generators](https://aclanthology.org/2025.emnlp-industry.142/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track*
30. [LLM as a Broken Telephone: Iterative Generation Distorts Information](https://aclanthology.org/2025.acl-long.371/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
31. [LLM-Enhanced Query Generation and Retrieval Preservation for Task-Oriented Dialogue](https://aclanthology.org/2025.findings-acl.737/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
32. [LLM-Guided Planning and Summary-Based Scientific Text Simplification: DS@GT at CLEF 2025 SimpleText](https://arxiv.org/abs/2508.11816) *— 2025 · arXiv:2508.11816*
33. [LLM-Supported Natural Language to Bash Translation](https://aclanthology.org/2025.naacl-long.555/) *— 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)*
34. [LLM-as-a-Judge Failures at Automating the Identification of Poor Quality Outputs in Free-Form Texts](https://aclanthology.org/2025.newsum-main.1/) *— 2025 · Proceedings of The 5th New Frontiers in Summarization Workshop*
35. [LLM-as-an-Interviewer: Beyond Static Testing Through Dynamic LLM Evaluation](https://aclanthology.org/2025.findings-acl.1357/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
36. [LLM-based NLG Evaluation: Current Status and Challenges](https://aclanthology.org/2025.cl-2.9/) *— 2025 · Computational Linguistics*
37. [LLM-based Open Domain Planning by Leveraging Entity-Attribute-Level Domain Models](https://aclanthology.org/2025.findings-emnlp.138/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
38. [LLM-based Text Simplification and its Effect on User Comprehension and Cognitive Load](https://arxiv.org/abs/2505.01980) *— 2025 · arXiv:2505.01980*
39. [LLM-based Translation Inference with Iterative Bilingual Understanding](https://aclanthology.org/2025.findings-acl.867/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
40. [LLM4SR: A Survey on Large Language Models for Scientific Research](https://arxiv.org/abs/2501.04306) *— 2025 · arXiv:2501.04306*
41. [LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation](https://aclanthology.org/2025.findings-emnlp.263/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
42. [LLMs Are Not Scorers: Rethinking MT Evaluation with Generation-Based Methods](https://arxiv.org/abs/2505.16129) *— 2025 · arXiv:2505.16129*
43. [LLMs Do Not See Age: Assessing Demographic Bias in Automated Systematic Review Synthesis](https://aclanthology.org/2025.ijcnlp-long.98/) *— 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*
44. [LLMs Get Lost In Multi-Turn Conversation](https://arxiv.org/abs/2505.06120) *— 2025 · arXiv:2505.06120*
45. [LLMs May Perform MCQA by Selecting the Least Incorrect Option](https://aclanthology.org/2025.coling-main.390/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
46. [LLMs are Privacy Erasable](https://aclanthology.org/2025.findings-emnlp.304/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
47. [LLMs as Architects and Critics for Multi-Source Opinion Summarization](https://aclanthology.org/2025.findings-ijcnlp.5/) *— 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*
48. [LLMs can Perform Multi-Dimensional Analytic Writing Assessments: A Case Study of L2 Graduate-Level Academic English Writing](https://aclanthology.org/2025.acl-long.423/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
49. [LLMs for Extremely Low-Resource Finno-Ugric Languages](https://aclanthology.org/2025.findings-naacl.373/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
50. [LLMs for Low-Resource Dialect Translation Using Context-Aware Prompting: A Case Study on Sylheti](https://aclanthology.org/2025.banglalp-1.24/) *— 2025 · Proceedings of the Second Workshop on Bangla Language Processing (BLP-2025)*
51. [LLMs for Translation: Historical, Low-Resourced Languages and Contemporary AI Models](https://aclanthology.org/2025.latechclfl-1.20/) *— 2025 · Proceedings of the 9th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2025)*
52. [LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following](https://aclanthology.org/2025.coling-main.58/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
53. [LMU at PerAnsSumm 2025: LlaMA-in-the-loop at Perspective-Aware Healthcare Answer Summarization Task 2.2 Factuality](https://aclanthology.org/2025.cl4health-1.34/) *— 2025 · Proceedings of the Second Workshop on Patient-Oriented Language Processing (CL4Health)*
54. [LMUNIT: Fine-grained Evaluation with Natural Language Unit Tests](https://aclanthology.org/2025.findings-emnlp.176/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
55. [LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences](https://aclanthology.org/2025.acl-industry.22/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)*
56. [LRMGS: A Language-Robust Metric for Evaluating Question Answering in Very Low-Resource Indic Languages](https://aclanthology.org/2025.ijcnlp-srw.7/) *— 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*
57. [LSSF: Safety Alignment for Large Language Models through Low-Rank Safety Subspace Fusion](https://aclanthology.org/2025.acl-long.1479/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
58. [LT3: Generating Medication Prescriptions with Conditional Transformer](https://aclanthology.org/2025.cl4health-1.17/) *— 2025 · Proceedings of the Second Workshop on Patient-Oriented Language Processing (CL4Health)*
59. [LUCE: A Dynamic Framework and Interactive Dashboard for Opinionated Text Analysis](https://aclanthology.org/2025.coling-demos.11/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics: System Demonstrations*
60. [La Leaderboard: A Large Language Model Leaderboard for Spanish Varieties and Languages of Spain and Latin America](https://aclanthology.org/2025.acl-long.1561/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
61. [La traduction automatique dialectale: état de l”art et étude préliminaire sur le continuum dialectal de l”occitan](https://aclanthology.org/2025.jeptalnrecital-recital.12/) *— 2025 · Actes des 18e Rencontres Jeunes Chercheurs en RI (RJCRI) et 27ème Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RECITAL)*
62. [LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles](https://aclanthology.org/2025.findings-emnlp.521/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
63. [LangMark: A Multilingual Dataset for Automatic Post-Editing](https://aclanthology.org/2025.acl-long.1569/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
64. [Language Model Council: Democratically Benchmarking Foundation Models on Highly Subjective Tasks](https://aclanthology.org/2025.naacl-long.617/) *— 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)*
65. [Language Models Can be Efficiently Steered via Minimal Embedding Layer Transformations](https://aclanthology.org/2025.emnlp-main.1170/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
66. [Language verY Rare for All](https://aclanthology.org/2025.loreslm-1.12/) *— 2025 · Proceedings of the First Workshop on Language Models for Low-Resource Languages*
67. [Languages Transferred Within the Encoder: On Representation Transfer in Zero-Shot Multilingual Translation](https://aclanthology.org/2025.mtsummit-1.7/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
68. [Laniqo at WMT25 Terminology Translation Task: A Multi-Objective Reranking Strategy for Terminology-Aware Translation via Pareto-Optimal Decoding](https://aclanthology.org/2025.wmt-1.107/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
69. [Large Language Model Evaluation via Matrix Nuclear-Norm](https://aclanthology.org/2025.findings-emnlp.68/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
70. [Large Language Models Share Representations of Latent Grammatical Concepts Across Typologically Diverse Languages](https://aclanthology.org/2025.naacl-long.312/) *— 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)*
71. [Latent Inter-User Difference Modeling for LLM Personalization](https://aclanthology.org/2025.emnlp-main.536/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
72. [LawPal : A Retrieval Augmented Generation Based System for Enhanced Legal Accessibility in India](https://arxiv.org/abs/2502.16573) *— 2025 · arXiv:2502.16573*
73. [LaySummX at BioLaySumm: Retrieval-Augmented Fine-Tuning for Biomedical Lay Summarization Using Abstracts and Retrieved Full-Text Context](https://aclanthology.org/2025.bionlp-share.26/) *— 2025 · Proceedings of the 24th Workshop on Biomedical Language Processing (Shared Tasks)*
74. [LeMAJ (Legal LLM-as-a-Judge): Bridging Legal Reasoning and LLM Evaluation](https://aclanthology.org/2025.nllp-1.23/) *— 2025 · Proceedings of the Natural Legal Language Processing Workshop 2025*
75. [Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers](https://aclanthology.org/2025.emnlp-main.1347/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
76. [Learning to Describe Implicit Changes: Noise-robust Pre-training for Image Difference Captioning](https://aclanthology.org/2025.findings-emnlp.537/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
77. [Learning to Reason under Off-Policy Guidance](https://arxiv.org/abs/2504.14945) *— 2025 · arXiv:2504.14945*
78. [Learning to See through Sound: From VggCaps to Multi2Cap for Richer Automated Audio Captioning](https://aclanthology.org/2025.emnlp-main.715/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
79. [LegalChainReasoner: A Legal Chain-guided Framework for Criminal Judicial Opinion Generation](https://arxiv.org/abs/2509.00783) *— 2025 · arXiv:2509.00783*
80. [LegalEval-Q: A New Benchmark for The Quality Evaluation of LLM-Generated Legal Text](https://arxiv.org/abs/2505.24826) *— 2025 · arXiv:2505.24826*
81. [Less Mature is More Adaptable for Sentence-level Language Modeling](https://aclanthology.org/2025.acl-long.573/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
82. [Less is More: Selective Reflection for Compatible and Efficient Knowledge Distillation in Large Language Models](https://arxiv.org/abs/2508.06135) *— 2025 · arXiv:2508.06135*
83. [Let”s Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model](https://aclanthology.org/2025.coling-main.630/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
84. [Leveraging Knowledge Graph-Enhanced LLMs for Context-Aware Medical Consultation](https://aclanthology.org/2025.emnlp-main.1549/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
85. [Leveraging LLMs for Cross-Locale Adaptation: a Workflow Proposal on Spanish Variants](https://aclanthology.org/2025.mtsummit-2.7/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 2*
86. [Leveraging Large Language Models for Conversational Multi-Doc Question Answering: The First Place of WSDM Cup 2024](https://aclanthology.org/2025.findings-acl.19/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
87. [Leveraging Loanword Constraints for Improving Machine Translation in a Low-Resource Multilingual Context](https://aclanthology.org/2025.emnlp-main.1406/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
88. [Leveraging Visual Scene Graph to Enhance Translation Quality in Multimodal Machine Translation](https://aclanthology.org/2025.mtsummit-1.27/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
89. [LexiLogic at BEA 2025 Shared Task: Fine-tuning Transformer Language Models for the Pedagogical Skill Evaluation of LLM-based tutors](https://aclanthology.org/2025.bea-1.93/) *— 2025 · Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)*
90. [LexiLogic@CALCS 2025: Predicting Preferences in Generated Code-Switched Text](https://aclanthology.org/2025.calcs-1.6/) *— 2025 · Proceedings of the 7th Workshop on Computational Approaches to Linguistic Code-Switching*
91. [LiTEx: A Linguistic Taxonomy of Explanations for Understanding Within-Label Variation in Natural Language Inference](https://aclanthology.org/2025.emnlp-main.1728/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
92. [LiTransProQA: An LLM-based Literary Translation Evaluation Metric with Professional Question Answering](https://aclanthology.org/2025.emnlp-main.1482/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
93. [Liaozhai through the Looking-Glass: On Paratextual Explicitation of Culture-Bound Terms in Machine Translation](https://aclanthology.org/2025.emnlp-main.1744/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
94. [Libra: Leveraging Temporal Images for Biomedical Radiology Analysis](https://aclanthology.org/2025.findings-acl.888/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
95. [Lightweight IPIS Instruction Tuning of Bielik-7B for Gender-Inclusive Polish\ensuremath\<–-\ensuremath>English Translation: System Description for PolEval 2025 Task 2 (IPIS-translation)](https://aclanthology.org/2025.poleval-main.10/) *— 2025 · Proceedings of the PolEval 2025 Workshop*
96. [Lightweight LLM Adaptation for Medical Summarisation: Roux-lette at PerAnsSumm Shared Task](https://aclanthology.org/2025.cl4health-1.35/) *— 2025 · Proceedings of the Second Workshop on Patient-Oriented Language Processing (CL4Health)*
97. [Limitations of Religious Data and the Importance of the Target Domain: Towards Machine Translation for Guinea-Bissau Creole](https://aclanthology.org/2025.loresmt-1.17/) *— 2025 · Proceedings of the Eighth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2025)*
98. [Listen, Watch, and Learn to Feel: Retrieval-Augmented Emotion Reasoning for Compound Emotion Generation](https://aclanthology.org/2025.findings-acl.590/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
99. [Listening to Patients: Detecting and Mitigating Patient Misreport in Medical Dialogue System](https://aclanthology.org/2025.findings-acl.135/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
100. [LiteraryQA: Towards Effective Evaluation of Long-document Narrative QA](https://aclanthology.org/2025.emnlp-main.1729/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*

Pages: [1](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/) · … · [13](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/13/) · **14** · [15](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/15/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)