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

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/) · … · [14](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/14/) · **15** · [16](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/16/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluation](https://aclanthology.org/2025.coling-main.371/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
2. [LoRaDA: Low-Rank Direct Attention Adaptation for Efficient LLM Fine-tuning](https://aclanthology.org/2025.findings-emnlp.676/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
3. [Localizing AI: Evaluating Open-Weight Language Models for Languages of Baltic States](https://aclanthology.org/2025.nodalida-1.30/) *— 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)*
4. [Localizing Malicious Outputs from CodeLLM](https://aclanthology.org/2025.findings-emnlp.1041/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
5. [Localizing and Mitigating Errors in Long-form Question Answering](https://aclanthology.org/2025.findings-acl.1049/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
6. [Locate-and-Focus: Enhancing Terminology Translation in Speech Language Models](https://aclanthology.org/2025.acl-long.556/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
7. [Logical Table-to-Text Generation: Challenges, Methods, and Reasoning](https://aclanthology.org/2025.findings-ijcnlp.103/) *— 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*
8. [Long-Form Information Alignment Evaluation Beyond Atomic Facts](https://aclanthology.org/2025.emnlp-main.558/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
9. [Long-context Reference-based MT Quality Estimation](https://aclanthology.org/2025.wmt-1.64/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
10. [Looking Beyond the Pixels: Evaluating Visual Metaphor Understanding in VLMs](https://aclanthology.org/2025.findings-emnlp.1257/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
11. [Lost in Translation: Benchmarking Commercial Machine Translation Models for Dyslexic-Style Text](https://aclanthology.org/2025.findings-acl.708/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
12. [Low-Resource Interlinear Translation: Morphology-Enhanced Neural Models for Ancient Greek](https://aclanthology.org/2025.loreslm-1.11/) *— 2025 · Proceedings of the First Workshop on Language Models for Low-Resource Languages*
13. [Low-resource Machine Translation for Code-switched Kazakh-Russian Language Pair](https://aclanthology.org/2025.naacl-srw.7/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop)*
14. [M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis](https://aclanthology.org/2025.emnlp-main.128/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
15. [M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation Evaluation](https://aclanthology.org/2025.acl-long.351/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
16. [M-Ped: Multi-Prompt Ensemble Decoding for Large Language Models](https://aclanthology.org/2025.findings-emnlp.906/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
17. [M2Lingual: Enhancing Multilingual, Multi-Turn Instruction Alignment in Large Language Models](https://aclanthology.org/2025.naacl-long.489/) *— 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)*
18. [MAATS: A Multi-Agent Automated Translation System Based on MQM Evaluation](https://arxiv.org/abs/2505.14848) *— 2025 · arXiv:2505.14848*
19. [MADial-Bench: Towards Real-world Evaluation of Memory-Augmented Dialogue Generation](https://aclanthology.org/2025.naacl-long.499/) *— 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)*
20. [MALLM: Multi-Agent Large Language Models Framework](https://aclanthology.org/2025.emnlp-demos.29/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
21. [MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation](https://aclanthology.org/2025.acl-long.1535/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
22. [MAS-LitEval : Multi-Agent System for Literary Translation Quality Assessment](https://arxiv.org/abs/2506.14199) *— 2025 · arXiv:2506.14199*
23. [MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows](https://aclanthology.org/2025.findings-naacl.127/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
24. [MATCH: Task-Driven Code Evaluation through Contrastive Learning](https://aclanthology.org/2025.findings-emnlp.611/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
25. [MCS-Bench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in Chinese Classical Studies](https://aclanthology.org/2025.acl-long.515/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
26. [MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation](https://aclanthology.org/2025.findings-acl.749/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
27. [MENDER: Multi-hop Commonsense and Domain-specific CoT Reasoning for Knowledge-grounded Empathetic Counseling of Crime Victims](https://aclanthology.org/2025.naacl-srw.49/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop)*
28. [MFinMeeting: A Multilingual, Multi-Sector, and Multi-Task Financial Meeting Understanding Evaluation Dataset](https://aclanthology.org/2025.findings-acl.14/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
29. [MIRAGE-Bench: Automatic Multilingual Benchmark Arena for Retrieval-Augmented Generation Systems](https://aclanthology.org/2025.naacl-long.14/) *— 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)*
30. [MIRAGE: A Benchmark for Multimodal Information-Seeking and Reasoning in Agricultural Expert-Guided Conversations](https://arxiv.org/abs/2506.20100) *— 2025 · arXiv:2506.20100*
31. [MIT-10M: A Large Scale Parallel Corpus of Multilingual Image Translation](https://aclanthology.org/2025.coling-main.346/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
32. [MLGym: A New Framework and Benchmark for Advancing AI Research Agents](https://arxiv.org/abs/2502.14499) *— 2025 · arXiv:2502.14499*
33. [MMORE: Massive Multimodal Open RAG & Extraction](https://arxiv.org/abs/2509.11937) *— 2025 · arXiv:2509.11937*
34. [MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation Evaluators](https://aclanthology.org/2025.coling-main.374/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
35. [MQM-Chat: Multidimensional Quality Metrics for Chat Translation](https://aclanthology.org/2025.coling-main.221/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
36. [MQM-MSC: Enhancing Translation Quality Estimation Interpretability with Mask-Driven Self-Correction in Large Language Models](https://aclanthology.org/2025.ccl-1.67/) *— 2025 · Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)*
37. [MSLC25: Metric Performance on Low-Quality Machine Translation, Empty Strings, and Language Variants](https://aclanthology.org/2025.wmt-1.69/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
38. [MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning](https://aclanthology.org/2025.findings-emnlp.1015/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
39. [MT-RAIG: Novel Benchmark and Evaluation Framework for Retrieval-Augmented Insight Generation over Multiple Tables](https://aclanthology.org/2025.acl-long.1128/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
40. [MUG-Eval: A Proxy Evaluation Framework for Multilingual Generation Capabilities in Any Language](https://aclanthology.org/2025.findings-emnlp.1061/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
41. [MUSE: A Multimodal Conversational Recommendation Dataset with Scenario-Grounded User Profiles](https://aclanthology.org/2025.findings-acl.58/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
42. [Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets](https://aclanthology.org/2025.cl-1.4/) *— 2025 · Computational Linguistics*
43. [Machine Translation Metrics for Indigenous Languages Using Fine-tuned Semantic Embeddings](https://aclanthology.org/2025.americasnlp-1.11/) *— 2025 · Proceedings of the Fifth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)*
44. [Machine Translation in the AI Era: Comparing previous methods of machine translation with large language models](https://aclanthology.org/2025.case-1.5/) *— 2025 · Proceedings of the 8th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Texts*
45. [Machine-generated text detection prevents language model collapse](https://aclanthology.org/2025.emnlp-main.1506/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
46. [Making Large Language Models into World Models with Precondition and Effect Knowledge](https://aclanthology.org/2025.coling-main.503/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
47. [Mark My Words: A Robust Multilingual Model for Punctuation in Text and Speech Transcripts](https://aclanthology.org/2025.findings-ijcnlp.110/) *— 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. [Masked Diffusion Captioning for Visual Feature Learning](https://aclanthology.org/2025.findings-emnlp.1376/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
49. [MasonNLP at MEDIQA-WV 2025: Multimodal Retrieval-Augmented Generation with Large Language Models for Medical VQA](https://aclanthology.org/2025.clinicalnlp-1.10/) *— 2025 · Proceedings of the 7th Clinical Natural Language Processing Workshop*
50. [MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors](https://aclanthology.org/2025.emnlp-main.11/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
51. [Measuring Faithfulness and Abstention: An Automated Pipeline for Evaluating LLM-Generated 3-ply Case-Based Legal Arguments](https://arxiv.org/abs/2506.00694) *— 2025 · arXiv:2506.00694*
52. [Measuring Prosodic Richness in LLM-Generated Responses for Conversational Recommendation](https://aclanthology.org/2025.globalnlp-1.14/) *— 2025 · Proceedings of the Workshop on Beyond English: Natural Language Processing for all Languages in an Era of Large Language Models*
53. [Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization](https://aclanthology.org/2025.findings-acl.1095/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
54. [Med-VRAgent: A Framework for Medical Visual Reasoning-Enhanced Agents](https://aclanthology.org/2025.emnlp-main.939/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
55. [MedPlan: A Two-Stage RAG-Based System for Personalized Medical Plan Generation](https://aclanthology.org/2025.acl-industry.76/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)*
56. [MedQwen-PE: Medical Qwen for Parameter-Efficient Multilingual Patient-Centric Summarization, Question Answering and Information Extraction](https://aclanthology.org/2025.nlpai4health-main.9/) *— 2025 · NLP-AI4Health*
57. [MediQAl: A French Medical Question Answering Dataset for Knowledge and Reasoning Evaluation](https://arxiv.org/abs/2507.20917) *— 2025 · arXiv:2507.20917*
58. [MediVLM: A Vision Language Model for Radiology Report Generation from Medical Images](https://aclanthology.org/2025.findings-emnlp.544/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
59. [MemeInterpret: Towards an All-in-One Dataset for Meme Understanding](https://aclanthology.org/2025.findings-emnlp.871/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
60. [Memory OS of AI Agent](https://aclanthology.org/2025.emnlp-main.1318/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
61. [Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation](https://arxiv.org/abs/2504.18012) *— 2025 · arXiv:2504.18012*
62. [Metamo: Empowering Large Language Models with Psychological Distortion Detection for Cognition-aware Coaching](https://aclanthology.org/2025.emnlp-demos.66/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
63. [Metaphor and Large Language Models: When Surface Features Matter More than Deep Understanding](https://aclanthology.org/2025.findings-acl.898/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
64. [MetninOzU at BioLaySumm2025: Text Summarization with Reverse Data Augmentation and Injecting Salient Sentences](https://aclanthology.org/2025.bionlp-share.22/) *— 2025 · Proceedings of the 24th Workshop on Biomedical Language Processing (Shared Tasks)*
65. [Metric Calculating Benchmark: Code-Verifiable Complicate Instruction Following Benchmark for Large Language Models](https://aclanthology.org/2025.emnlp-main.1051/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
66. [Metric assessment protocol in the context of answer fluctuation on MCQ tasks](https://aclanthology.org/2025.gem-1.26/) *— 2025 · Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM\texttwosuperior)*
67. [MetricX-25 and GemSpanEval: Google Translate Submissions to the WMT25 Evaluation Shared Task](https://aclanthology.org/2025.wmt-1.70/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
68. [Middle-Layer Representation Alignment for Cross-Lingual Transfer in Fine-Tuned LLMs](https://aclanthology.org/2025.acl-long.778/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
69. [MilaNLP@Multilingual Counterspeech Generation: Evaluating Translation and Background Knowledge Filtering](https://aclanthology.org/2025.mcg-1.7/) *— 2025 · Proceedings of the First Workshop on Multilingual Counterspeech Generation*
70. [Mind the Gap: Diverse NMT Models for Resource-Constrained Environments](https://aclanthology.org/2025.nodalida-1.21/) *— 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)*
71. [Mind the Style Gap: Meta-Evaluation of Style and Attribute Transfer Metrics](https://aclanthology.org/2025.findings-emnlp.1175/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
72. [Minimum Bayes Risk Decoding for Error Span Detection in Reference-Free Automatic Machine Translation Evaluation](https://arxiv.org/abs/2512.07540) *— 2025 · arXiv:2512.07540*
73. [MinosEval: Distinguishing Factoid and Non-Factoid for Tailored Open-Ended QA Evaluation with LLMs](https://aclanthology.org/2025.findings-acl.548/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
74. [Mitigating Paraphrase Attacks on Machine-Text Detection via Paraphrase Inversion](https://aclanthology.org/2025.findings-acl.227/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
75. [MoCE: Adaptive Mixture of Contextualization Experts for Byte-based Neural Machine Translation](https://aclanthology.org/2025.naacl-long.47/) *— 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)*
76. [MoKA:Parameter Efficiency Fine-Tuning via Mixture of Kronecker Product Adaption](https://aclanthology.org/2025.coling-main.679/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
77. [MoVoC: Morphology-Aware Subword Construction for Ge”ez Script Languages](https://md.research.elamur.ai/free/en/papers/findings-2025-teklehaymanot-movoc-morphology-aware-subword-construction/) *— our card · 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
78. [MoVoC: Morphology-Aware Subword Construction for Geez Script Languages](https://arxiv.org/abs/2509.08812) *— 2025 · arXiv:2509.08812*
79. [MobileA3gent: Training Mobile GUI Agents Using Decentralized Self-Sourced Data from Diverse Users](https://aclanthology.org/2025.hcinlp-1.8/) *— 2025 · Proceedings of the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP)*
80. [Model Consistency as a Cheap yet Predictive Proxy for LLM Elo Scores](https://aclanthology.org/2025.emnlp-main.1534/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
81. [MolErr2Fix: Benchmarking LLM Trustworthiness in Chemistry via Modular Error Detection, Localization, Explanation, and Correction](https://aclanthology.org/2025.emnlp-main.977/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
82. [Morables: A Benchmark for Assessing Abstract Moral Reasoning in LLMs with Fables](https://aclanthology.org/2025.emnlp-main.1411/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
83. [MorphMark: Flexible Adaptive Watermarking for Large Language Models](https://aclanthology.org/2025.acl-long.240/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
84. [Movie101v2: Improved Movie Narration Benchmark](https://aclanthology.org/2025.acl-long.836/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
85. [Multi-Hop Question Generation via Dual-Perspective Keyword Guidance](https://aclanthology.org/2025.findings-acl.526/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
86. [Multi-Layered Evaluation Using a Fusion of Metrics and LLMs as Judges in Open-Domain Question Answering](https://aclanthology.org/2025.coling-main.408/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
87. [Multi-agentMT: Deploying AI Agent in the WMT25 Shared Task](https://aclanthology.org/2025.wmt-1.53/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
88. [Multi-document Summarization through Multi-document Event Relation Graph Reasoning in LLMs: a case study in Framing Bias Mitigation](https://aclanthology.org/2025.acl-long.1291/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
89. [Multi-head Temporal Latent Attention](https://arxiv.org/abs/2505.13544) *— 2025 · arXiv:2505.13544*
90. [Multi-perspective Alignment for Increasing Naturalness in Neural Machine Translation](https://aclanthology.org/2025.acl-long.1361/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
91. [Multi-perspective Preference Alignment of LLMs for Programming-Community Question Answering](https://aclanthology.org/2025.coling-main.113/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
92. [MultiAgentESC: A LLM-based Multi-Agent Collaboration Framework for Emotional Support Conversation](https://aclanthology.org/2025.emnlp-main.232/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
93. [MultiLoKo: a multilingual local knowledge benchmark for LLMs spanning 31 languages](https://arxiv.org/abs/2504.10356) *— 2025 · arXiv:2504.10356*
94. [MultiMSD: A Corpus for Multilingual Medical Text Simplification from Online Medical References](https://aclanthology.org/2025.findings-acl.481/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
95. [MultiMed-ST: Large-scale Many-to-many Multilingual Medical Speech Translation](https://aclanthology.org/2025.emnlp-main.599/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
96. [Multilingual Definition Modeling](https://aclanthology.org/2025.findings-acl.1328/) *— 2025 · Findings of ACL 2025 (Vienna)*
97. [Multilingual Dialogue Generation and Localization with Dialogue Act Scripting](https://aclanthology.org/2025.emnlp-main.1670/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
98. [Multilingual Gloss-free Sign Language Translation: Towards Building a Sign Language Foundation Model](https://aclanthology.org/2025.acl-short.43/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
99. [Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation](https://arxiv.org/abs/2502.04537) *— 2025 · arXiv:2502.04537*
100. [Multilingual Pre-training Meets Supervised Neural Machine Translation: A Reproducible Evaluation on English–French and Finnish Translation](https://aclanthology.org/2025.ranlp-1.5/) *— 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era*

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