---
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/26/"
---
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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 26

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/) · … · [25](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/25/) · **26** · [27](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/27/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [HIT-MI&T Lab at SemEval-2024 Task 6: DeBERTa-based Entailment Model is a Reliable Hallucination Detector](https://aclanthology.org/2024.semeval-1.253/) *— 2024 · Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)*
2. [HOTVCOM: Generating Buzzworthy Comments for Videos](https://aclanthology.org/2024.findings-acl.130/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
3. [HW-TSC's Participation in the WMT 2024 QEAPE Task](https://aclanthology.org/2024.wmt-1.40/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
4. [Hallucination Detection in LLM-enriched Product Listings](https://aclanthology.org/2024.ecnlp-1.4/) *— 2024 · Proceedings of the Seventh Workshop on e-Commerce and NLP @ LREC-COLING 2024*
5. [Harmonizing Code-mixed Conversations: Personality-assisted Code-mixed Response Generation in Dialogues](https://aclanthology.org/2024.findings-eacl.44/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
6. [HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew](https://md.research.elamur.ai/free/en/papers/findings-2024-argaman-hesum-novel-dataset-abstractive-text/) *— our card · 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
7. [Health Text Simplification: An Annotated Corpus for Digestive Cancer Education and Novel Strategies for Reinforcement Learning](https://arxiv.org/abs/2401.15043) *— 2024 · arXiv:2401.15043*
8. [HierarchyNet: Learning to Summarize Source Code with Heterogeneous Representations](https://aclanthology.org/2024.findings-eacl.156/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
9. [High-quality Data-to-Text Generation for Severely Under-Resourced Languages with Out-of-the-box Large Language Models](https://aclanthology.org/2024.findings-eacl.98/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
10. [Holistic Evaluation for Interleaved Text-and-Image Generation](https://aclanthology.org/2024.emnlp-main.1228/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
11. [Holistic Evaluation of Large Language Models: Assessing Robustness, Accuracy, and Toxicity for Real-World Applications](https://aclanthology.org/2024.trustnlp-1.11/) *— 2024 · Proceedings of the 4th Workshop on Trustworthy Natural Language Processing (TrustNLP 2024)*
12. [Hope `The Paragraph Guy” explains the rest : Introducing MeSum, the Meme Summarizer](https://aclanthology.org/2024.findings-emnlp.389/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
13. [How Does In-Context Learning Help Prompt Tuning?](https://aclanthology.org/2024.findings-eacl.11/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
14. [How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages?](https://aclanthology.org/2024.acl-short.58/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
15. [How Grammatical Features Impact Machine Translation: A New Test Suite for Chinese-English MT Evaluation](https://aclanthology.org/2024.wmt-1.117/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
16. [How Much Annotation is Needed to Compare Summarization Models?](https://aclanthology.org/2024.hcinlp-1.5/) *— 2024 · Proceedings of the Third Workshop on Bridging Human–Computer Interaction and Natural Language Processing*
17. [How Much Data is Enough Data? Fine-Tuning Large Language Models for In-House Translation: Performance Evaluation Across Multiple Dataset Sizes](https://aclanthology.org/2024.amta-research.20/) *— 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
18. [How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering](https://aclanthology.org/2024.findings-acl.45/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
19. [HumBEL: A Human-in-the-Loop Approach for Evaluating Demographic Factors of Language Models in Human-Machine Conversations](https://aclanthology.org/2024.eacl-long.68/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
20. [Human-Centered Design Recommendations for LLM-as-a-judge](https://aclanthology.org/2024.hucllm-1.2/) *— 2024 · Proceedings of the 1st Human-Centered Large Language Modeling Workshop*
21. [Humanistic Buddhism Corpus: A Challenging Domain-Specific Dataset of English Translations for Classical and Modern Chinese](https://aclanthology.org/2024.lrec-main.737/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
22. [Hybrid Distillation from RBMT and NMT: Helsinki-NLP”s Submission to the Shared Task on Translation into Low-Resource Languages of Spain](https://aclanthology.org/2024.wmt-1.88/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
23. [Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction](https://aclanthology.org/2024.emnlp-industry.11/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track*
24. [Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding](https://aclanthology.org/2024.findings-acl.505/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
25. [HypoTermQA: Hypothetical Terms Dataset for Benchmarking Hallucination Tendency of LLMs](https://aclanthology.org/2024.eacl-srw.9/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop*
26. [I Have an Attention Bridge to Sell You: Generalization Capabilities of Modular Translation Architectures](https://aclanthology.org/2024.insights-1.5/) *— 2024 · Proceedings of the Fifth Workshop on Insights from Negative Results in NLP*
27. [ICC : Quantifying Image Caption Concreteness for Multimodal Dataset Curation](https://aclanthology.org/2024.findings-acl.657/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
28. [ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer](https://aclanthology.org/2024.acl-long.854/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
29. [ICON: Improving Inter-Report Consistency in Radiology Report Generation via Lesion-aware Mixup Augmentation](https://aclanthology.org/2024.findings-emnlp.528/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
30. [IFCap: Image-like Retrieval and Frequency-based Entity Filtering for Zero-shot Captioning](https://aclanthology.org/2024.emnlp-main.1153/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
31. [INCLURE: a Dataset and Toolkit for Inclusive French Translation](https://aclanthology.org/2024.bucc-1.7/) *— 2024 · Proceedings of the 17th Workshop on Building and Using Comparable Corpora (BUCC) @ LREC-COLING 2024*
32. [IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing](https://aclanthology.org/2024.emnlp-industry.52/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track*
33. [ISO 24617-8 Applied: Insights from Multilingual Discourse Relations Annotation in English, Polish, and Portuguese](https://aclanthology.org/2024.isa-1.13/) *— 2024 · Proceedings of the 20th Joint ACL - ISO Workshop on Interoperable Semantic Annotation @ LREC-COLING 2024*
34. [IgnitionInnovators at “Discharge Me!”: Chain-of-Thought Instruction Finetuning Large Language Models for Discharge Summaries](https://aclanthology.org/2024.bionlp-1.65/) *— 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing*
35. [ImageInWords: Unlocking Hyper-Detailed Image Descriptions](https://aclanthology.org/2024.emnlp-main.6/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
36. [Impacts of Misspelled Queries on Translation and Product Search](https://aclanthology.org/2024.acl-long.750/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
37. [Implementing Gender-Inclusivity in MT Output using Automatic Post-Editing with LLMs](https://aclanthology.org/2024.eamt-1.48/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
38. [Importance-Aware Data Augmentation for Document-Level Neural Machine Translation](https://aclanthology.org/2024.eacl-long.44/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
39. [Improving Cross-Domain Low-Resource Text Generation through LLM Post-Editing: A Programmer-Interpreter Approach](https://aclanthology.org/2024.findings-eacl.24/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
40. [Improving Dialog Safety using Socially Aware Contrastive Learning](https://aclanthology.org/2024.scichat-1.2/) *— 2024 · Proceedings of the 1st Workshop on Simulating Conversational Intelligence in Chat (SCI-CHAT 2024)*
41. [Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning](https://aclanthology.org/2024.findings-emnlp.540/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
42. [Improving Factual Accuracy of Neural Table-to-Text Output by Addressing Input Problems in ToTTo](https://aclanthology.org/2024.naacl-long.408/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
43. [Improving Low-Resource Machine Translation for Formosan Languages Using Bilingual Lexical Resources](https://aclanthology.org/2024.findings-acl.670/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
44. [Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model](https://aclanthology.org/2024.naacl-long.451/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
45. [Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative Decoding](https://aclanthology.org/2024.findings-acl.786/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
46. [Improving Minimum Bayes Risk Decoding with Multi-Prompt](https://aclanthology.org/2024.emnlp-main.1255/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
47. [Improving Multilingual Neural Machine Translation by Utilizing Semantic and Linguistic Features](https://aclanthology.org/2024.findings-acl.620/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
48. [Improving Non-autoregressive Machine Translation with Error Exposure and Consistency Regularization](https://arxiv.org/abs/2402.09725) *— 2024 · arXiv:2402.09725*
49. [Improving Rare Word Translation With Dictionaries and Attention Masking](https://aclanthology.org/2024.amta-research.19/) *— 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
50. [Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders](https://aclanthology.org/2024.findings-eacl.97/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
51. [Improving Sign Language Production in the Healthcare Domain Using UMLS and Multi-task Learning](https://aclanthology.org/2024.cl4health-1.1/) *— 2024 · Proceedings of the First Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC-COLING 2024*
52. [Improving Statistical Significance in Human Evaluation of Automatic Metrics via Soft Pairwise Accuracy](https://aclanthology.org/2024.wmt-1.118/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
53. [Improving Unsupervised Neural Machine Translation via Training Data Self-Correction](https://aclanthology.org/2024.lrec-main.783/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
54. [Improving Vietnamese-English Medical Machine Translation](https://aclanthology.org/2024.lrec-main.784/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
55. [In-Context Former: Lightning-fast Compressing Context for Large Language Model](https://aclanthology.org/2024.findings-emnlp.138/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
56. [Incomplete Utterance Rewriting with Editing Operation Guidance and Utterance Augmentation](https://aclanthology.org/2024.emnlp-main.410/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
57. [Inconsistent dialogue responses and how to recover from them](https://aclanthology.org/2024.findings-eacl.16/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
58. [Incorporating Hypernym Features for Improving Low-resource Neural Machine Translation](https://aclanthology.org/2024.kemt-1.1/) *— 2024 · Proceedings of the First International Workshop on Knowledge-Enhanced Machine Translation*
59. [IndiFoodVQA: Advancing Visual Question Answering and Reasoning with a Knowledge-Infused Synthetic Data Generation Pipeline](https://aclanthology.org/2024.findings-eacl.78/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
60. [Indic-TEDST: Datasets and Baselines for Low-Resource Speech to Text Translation](https://aclanthology.org/2024.lrec-main.790/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
61. [Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings](https://aclanthology.org/2024.acl-long.455/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
62. [Information Parity: Measuring and Predicting the Multilingual Capabilities of Language Models](https://aclanthology.org/2024.findings-emnlp.468/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
63. [Instruct Once, Chat Consistently in Multiple Rounds: An Efficient Tuning Framework for Dialogue](https://aclanthology.org/2024.acl-long.219/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
64. [Integrating Argumentation and Hate-Speech-based Techniques for Countering Misinformation](https://aclanthology.org/2024.emnlp-main.622/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
65. [Intelligent Predictive Maintenance RAG framework for Power Plants: Enhancing QA with StyleDFS and Domain Specific Instruction Tuning](https://aclanthology.org/2024.emnlp-industry.61/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track*
66. [Interplay of Machine Translation, Diacritics, and Diacritization](https://aclanthology.org/2024.naacl-long.420/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
67. [Introducing Spatial Information and a Novel Evaluation Scheme for Open-Domain Live Commentary Generation](https://aclanthology.org/2024.findings-emnlp.606/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
68. [Introduction au numéro spécial - Robustesse et limites des modèles de traitement automatique des langues Introduction to the special issue on robustness and limits of NLP models](https://aclanthology.org/2023.tal-2.1/) *— 2024*
69. [Investigating Neural Machine Translation for Low-Resource Languages: Using Bavarian as a Case Study](https://aclanthology.org/2024.sigul-1.20/) *— 2024 · Proceedings of the 3rd Annual Meeting of the Special Interest Group on Under-resourced Languages @ LREC-COLING 2024*
70. [Investigating Paraphrase Generation as a Data Augmentation Strategy for Low-Resource AMR-to-Text Generation](https://aclanthology.org/2024.inlg-main.51/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
71. [Is Context Helpful for Chat Translation Evaluation?](https://arxiv.org/abs/2403.08314) *— 2024 · arXiv:2403.08314*
72. [Is Crowdsourcing Breaking Your Bank? Cost-Effective Fine-Tuning of Pre-trained Language Models with Proximal Policy Optimization](https://aclanthology.org/2024.lrec-main.813/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
73. [Is Explanation All You Need? An Expert Survey on LLM-generated Explanations for Abusive Language Detection](https://aclanthology.org/2024.clicit-1.34/) *— 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)*
74. [Is Our Chatbot Telling Lies? Assessing Correctness of an LLM-based Dutch Support Chatbot](https://arxiv.org/abs/2411.00034) *— 2024 · arXiv:2411.00034*
75. [Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis](https://aclanthology.org/2024.wmt-1.127/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
76. [Is Reference Necessary in the Evaluation of NLG Systems? When and Where?](https://aclanthology.org/2024.naacl-long.474/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
77. [Is Summary Useful or Not? An Extrinsic Human Evaluation of Text Summaries on Downstream Tasks](https://aclanthology.org/2024.lrec-main.821/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
78. [Italian-Ligurian Machine Translation in Its Cultural Context](https://aclanthology.org/2024.sigul-1.21/) *— 2024 · Proceedings of the 3rd Annual Meeting of the Special Interest Group on Under-resourced Languages @ LREC-COLING 2024*
79. [Iterative Translation Refinement with Large Language Models](https://aclanthology.org/2024.eamt-1.17/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
80. [JGU Mainz's Submission to the AmericasNLP 2024 Shared Task on the Creation of Educational Materials for Indigenous Languages](https://aclanthology.org/2024.americasnlp-1.23/) *— 2024 · Proceedings of the 4th Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP 2024)*
81. [JHU IWSLT 2024 Dialectal and Low-resource System Description](https://aclanthology.org/2024.iwslt-1.19/) *— 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)*
82. [JaParaPat: A Large-Scale Japanese-English Parallel Patent Application Corpus](https://aclanthology.org/2024.lrec-main.826/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
83. [KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction](https://aclanthology.org/2024.emnlp-main.577/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
84. [Kalahi: A handcrafted, grassroots cultural LLM evaluation suite for Filipino](https://aclanthology.org/2024.paclic-1.49/) *— 2024 · Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation*
85. [KazParC: Kazakh Parallel Corpus for Machine Translation](https://aclanthology.org/2024.lrec-main.842/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
86. [Knowledge Fusion of Large Language Models](https://arxiv.org/abs/2401.10491) *— 2024 · arXiv:2401.10491*
87. [Knowledge-Centric Templatic Views of Documents](https://aclanthology.org/2024.findings-emnlp.906/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
88. [Knowledge-Grounded Dialogue Act Transfer using Prompt-Based Learning for Controllable Open-Domain NLG](https://aclanthology.org/2024.sigdial-1.7/) *— 2024 · Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
89. [Knowledge-Guided Cross-Topic Visual Question Generation](https://aclanthology.org/2024.lrec-main.861/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
90. [KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server](https://aclanthology.org/2024.emnlp-main.438/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
91. [Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering](https://aclanthology.org/2024.findings-acl.52/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
92. [KpopMT: Translation Dataset with Terminology for Kpop Fandom](https://aclanthology.org/2024.loresmt-1.3/) *— 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)*
93. [Kreyòl-MT: Building MT for Latin American, Caribbean and Colonial African Creole Languages](https://aclanthology.org/2024.naacl-long.170/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
94. [LAMBDA: Large Language Model-Based Data Augmentation for Multi-Modal Machine Translation](https://aclanthology.org/2024.findings-emnlp.893/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
95. [LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training](https://arxiv.org/abs/2401.04348) *— 2024 · arXiv:2401.04348*
96. [LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs](https://aclanthology.org/2024.findings-emnlp.410/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
97. [LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models](https://aclanthology.org/2024.eacl-long.8/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
98. [LLM Performance Predictors are good initializers for Architecture Search](https://aclanthology.org/2024.findings-acl.627/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
99. [LLM-as-a-Judge & Reward Model: What They Can and Cannot Do](https://arxiv.org/abs/2409.11239) *— 2024 · arXiv:2409.11239*
100. [LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems](https://aclanthology.org/2024.naacl-industry.36/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 6: Industry Track)*

Pages: [1](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/) · … · [25](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/25/) · **26** · [27](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/27/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)