---
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/11/"
---
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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 11

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/) · … · [10](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/10/) · **11** · [12](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/12/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [Dialetto, ma Quanto Dialetto? Transcribing and Evaluating Dialects on a Continuum](https://aclanthology.org/2025.findings-naacl.48/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
2. [Dialogue Is Not Enough to Make a Communicative BabyLM (But Neither Is Developmentally Inspired Reinforcement Learning)](https://aclanthology.org/2025.babylm-main.29/) *— 2025 · Proceedings of the First BabyLM Workshop*
3. [Did Translation Models Get More Robust Without Anyone Even Noticing?](https://aclanthology.org/2025.acl-long.122/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [Diffusion Directed Acyclic Transformer for Non-Autoregressive Machine Translation](https://aclanthology.org/2025.acl-short.64/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
5. [Dis2Dis: Explaining Ambiguity in Fact-Checking](https://aclanthology.org/2025.findings-naacl.14/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
6. [Disambiguation in Conversational Question Answering in the Era of LLMs and Agents: A Survey](https://aclanthology.org/2025.emnlp-main.482/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
7. [DiscoSG: Towards Discourse-Level Text Scene Graph Parsing through Iterative Graph Refinement](https://aclanthology.org/2025.emnlp-main.398/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
8. [Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding](https://aclanthology.org/2025.acl-long.1410/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
9. [Do LLMs Align Human Values Regarding Social Biases? Judging and Explaining Social Biases with LLMs](https://aclanthology.org/2025.findings-emnlp.1178/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
10. [Do LLMs Really Struggle at NL-FOL Translation? Revealing their Strengths via a Novel Benchmarking Strategy](https://arxiv.org/abs/2511.11816) *— 2025 · arXiv:2511.11816 · Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 40. No. 36. 2026*
11. [Do LLMs Understand Wine Descriptors Across Cultures? A Benchmark for Cultural Adaptations of Wine Reviews](https://aclanthology.org/2025.findings-emnlp.99/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
12. [Do Language Models Understand Honorific Systems in Javanese?](https://aclanthology.org/2025.acl-long.1296/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
13. [Do Large Language Models have an English Accent? Evaluating and Improving the Naturalness of Multilingual LLMs](https://aclanthology.org/2025.acl-long.193/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
14. [Do Large Language Models understand how to be judges?](https://aclanthology.org/2025.luhme-1.9/) *— 2025 · Proceedings of the 2nd LUHME Workshop*
15. [Do Not Change Me: On Transferring Entities Without Modification in Neural Machine Translation - a Multilingual Perspective](https://aclanthology.org/2025.mtsummit-1.19/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
16. [DoDS-IITPKD:Submissions to the WMT25 Low-Resource Indic Language Translation Task](https://aclanthology.org/2025.wmt-1.102/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
17. [DocHPLT: A Massively Multilingual Document-Level Translation Dataset](https://aclanthology.org/2025.wmt-1.17/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
18. [Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport](https://aclanthology.org/2025.acl-long.1370/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [Does Generative AI speak Nigerian-Pidgin?: Issues about Representativeness and Bias for Multilingualism in LLMs](https://aclanthology.org/2025.findings-naacl.85/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
20. [Don”t Teach Minerva": Guiding LLMs Through Complex Syntax for Faithful Latin Translation with RAG](https://arxiv.org/abs/2511.01454) *— 2025 · arXiv:2511.01454*
21. [DrFrattn: Directly Learn Adaptive Policy from Attention for Simultaneous Machine Translation](https://aclanthology.org/2025.emnlp-main.1767/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
22. [Dream to Chat: Model-based Reinforcement Learning on Dialogues with User Belief Modeling](https://aclanthology.org/2025.findings-emnlp.256/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
23. [Dynamic Feature Fusion for Sign Language Translation Using HyperNetworks](https://aclanthology.org/2025.findings-naacl.348/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
24. [Dynamic Knowledge Integration for Evidence-Driven Counter-Argument Generation with Large Language Models](https://aclanthology.org/2025.findings-acl.1161/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
25. [Dynamics of Instruction Fine-Tuning for Chinese Large Language Models](https://aclanthology.org/2025.coling-main.689/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
26. [ECC: Synergizing Emotion, Cause and Commonsense for Empathetic Dialogue Generation](https://aclanthology.org/2025.coling-main.367/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
27. [EMGLLM: Data-to-Text Alignment for Electromyogram Diagnosis Generation with Medical Numerical Data Encoding](https://aclanthology.org/2025.findings-acl.1050/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
28. [EMRs2CSP : Mining Clinical Status Pathway from Electronic Medical Records](https://aclanthology.org/2025.findings-acl.886/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
29. [ERGO: Entropy-guided Resetting for Generation Optimization in Multi-turn Language Models](https://aclanthology.org/2025.uncertainlp-main.23/) *— 2025 · Proceedings of the 2nd Workshop on Uncertainty-Aware NLP (UncertaiNLP 2025)*
30. [EXPERT: An Explainable Image Captioning Evaluation Metric with Structured Explanations](https://aclanthology.org/2025.findings-acl.1367/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
31. [EditGRPO: Reinforcement Learning with Post -Rollout Edits for Clinically Accurate Chest X-Ray Report Generation](https://aclanthology.org/2025.ijcnlp-short.26/) *— 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*
32. [EduAdapt: A Question Answer Benchmark Dataset for Evaluating Grade-Level Adaptability in LLMs](https://aclanthology.org/2025.emnlp-main.1736/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
33. [EduVidQA: Generating and Evaluating Long-form Answers to Student Questions based on Lecture Videos](https://aclanthology.org/2025.emnlp-main.1760/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
34. [Effect of Multilingual and Domain-adapted Continual Pre-training on Few-shot Promptability](https://aclanthology.org/2025.bionlp-1.2/) *— 2025 · Proceedings of the 24th Workshop on Biomedical Language Processing*
35. [Effective Self-Mining of In-Context Examples for Unsupervised Machine Translation with LLMs](https://aclanthology.org/2025.findings-naacl.238/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
36. [Effects of automatic alignment on speech translation metrics](https://aclanthology.org/2025.iwslt-1.7/) *— 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)*
37. [Efficient Architectures for High Resolution Vision-Language Models](https://aclanthology.org/2025.coling-main.700/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
38. [Efficient On-Device Text Simplification for Firefox with Synthetic Data Fine-Tuning](https://aclanthology.org/2025.tsar-1.7/) *— 2025 · Proceedings of the Fourth Workshop on Text Simplification, Accessibility and Readability (TSAR 2025)*
39. [Efficient Speech Translation through Model Compression and Knowledge Distillation](https://arxiv.org/abs/2505.20237) *— 2025 · arXiv:2505.20237 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)*
40. [Eka-Eval: An Evaluation Framework for Low-Resource Multilingual Large Language Models](https://arxiv.org/abs/2507.01853) *— 2025 · arXiv:2507.01853*
41. [Eliciting and Improving the Causal Reasoning Abilities of Large Language Models with Conditional Statements](https://aclanthology.org/2025.cl-2.3/) *— 2025 · Computational Linguistics*
42. [Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents](https://aclanthology.org/2025.acl-long.488/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
43. [Emphasising Structured Information: Integrating Abstract Meaning Representation into LLMs for Enhanced Open-Domain Dialogue Evaluation](https://aclanthology.org/2025.findings-emnlp.1096/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
44. [EnDive: A Cross-Dialect Benchmark for Fairness and Performance in Large Language Models](https://aclanthology.org/2025.findings-emnlp.913/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
45. [End-to-End Multilingual Automatic Dubbing via Duration-based Translation with Large Language Models](https://aclanthology.org/2025.emnlp-demos.37/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
46. [Energy-Conscious LLM Decoding: Impact of Text Generation Strategies on GPU Energy Consumption](https://arxiv.org/abs/2502.11723) *— 2025 · arXiv:2502.11723*
47. [English Please: Evaluating Machine Translation with Large Language Models for Multilingual Bug Reports](https://arxiv.org/abs/2502.14338) *— 2025 · arXiv:2502.14338*
48. [Enhancing Adversarial Transferability in Visual-Language Pre-training Models via Local Shuffle and Sample-based Attack](https://aclanthology.org/2025.findings-naacl.13/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
49. [Enhancing Hate Speech Classifiers through a Gradient-assisted Counterfactual Text Generation Strategy](https://aclanthology.org/2025.findings-emnlp.189/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
50. [Enhancing Human Evaluation in Machine Translation with Comparative Judgement](https://aclanthology.org/2025.acl-long.1002/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
51. [Enhancing Human Evaluation in Machine Translation with Comparative Judgment](https://arxiv.org/abs/2502.17797) *— 2025 · arXiv:2502.17797*
52. [Enhancing LLM-Based Molecular Captioning with Molecular Fingerprints](https://aclanthology.org/2025.findings-ijcnlp.22/) *— 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*
53. [Enhancing Large Language Models for Document-Level Translation Post-Editing Using Monolingual Data](https://aclanthology.org/2025.coling-main.591/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
54. [Enhancing Large Vision-Language Models with Ultra-Detailed Image Caption Generation](https://aclanthology.org/2025.emnlp-main.1357/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
55. [Enhancing Medical Dialogue Generation through Knowledge Refinement and Dynamic Prompt Adjustment](https://aclanthology.org/2025.findings-acl.1320/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
56. [Enhancing Model Privacy in Federated Learning with Random Masking and Quantization](https://aclanthology.org/2025.findings-emnlp.632/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
57. [Enhancing Paraphrase Type Generation: The Impact of DPO and RLHF Evaluated with Human-Ranked Data](https://arxiv.org/abs/2506.02018) *— 2025 · arXiv:2506.02018*
58. [Enhancing Readability-Controlled Text Modification with Readability Assessment and Target Span Prediction](https://aclanthology.org/2025.starsem-1.23/) *— 2025 · Proceedings of the 14th Joint Conference on Lexical and Computational Semantics (*SEM 2025)*
59. [Enhancing Transformation from Natural Language to Signal Temporal Logic Using LLMs with Diverse External Knowledge](https://aclanthology.org/2025.findings-acl.544/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
60. [Enriching Patent Claim Generation with European Patent Dataset](https://aclanthology.org/2025.findings-emnlp.408/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
61. [EoT: Evolution of Thoughts for Complex Reasoning Tasks](https://aclanthology.org/2025.findings-emnlp.1297/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
62. [Establishing Best Practices for Building Rigorous Agentic Benchmarks](https://arxiv.org/abs/2507.02825) *— 2025 · arXiv:2507.02825*
63. [Estimating LLM Consistency: A User Baseline vs Surrogate Metrics](https://aclanthology.org/2025.emnlp-main.1554/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
64. [Evaluating Autoformalization Robustness via Semantically Similar Paraphrasing](https://arxiv.org/abs/2511.12784) *— 2025 · arXiv:2511.12784*
65. [Evaluating Evaluation Metrics for Ancient Chinese to English Machine Translation](https://aclanthology.org/2025.alp-1.9/) *— 2025 · Proceedings of the Second Workshop on Ancient Language Processing*
66. [Evaluating GenAI for Simplifying Texts for Education: Improving Accuracy and Consistency for Enhanced Readability](https://arxiv.org/abs/2501.09158) *— 2025 · arXiv:2501.09158*
67. [Evaluating Health Question Answering Under Readability-Controlled Style Perturbations](https://aclanthology.org/2025.tsar-1.5/) *— 2025 · Proceedings of the Fourth Workshop on Text Simplification, Accessibility and Readability (TSAR 2025)*
68. [Evaluating LLM-Generated Versus Human-Authored Responses in Role-Play Dialogues](https://aclanthology.org/2025.inlg-main.2/) *— 2025 · Proceedings of the 18th International Natural Language Generation Conference*
69. [Evaluating LLMs for Portuguese Sentence Simplification with Linguistic Insights](https://aclanthology.org/2025.acl-long.1193/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
70. [Evaluating LLMs on Chinese Idiom Translation](https://arxiv.org/abs/2508.10421) *— 2025 · arXiv:2508.10421*
71. [Evaluating Language Translation Models by Playing Telephone](https://aclanthology.org/2025.emnlp-main.524/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
72. [Evaluating Multimodal Language Models as Visual Assistants for Visually Impaired Users](https://aclanthology.org/2025.acl-long.1260/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
73. [Evaluating OCR performance on food packaging labels in South Africa](https://arxiv.org/abs/2510.03570) *— 2025 · arXiv:2510.03570*
74. [Evaluating Robustness of LLMs to Typographical Noise in Yorùbá QA](https://aclanthology.org/2025.africanlp-1.29/) *— 2025 · Proceedings of the Sixth Workshop on African Natural Language Processing (AfricaNLP 2025)*
75. [Evaluating Small Language Models for News Summarization: Implications and Factors Influencing Performance](https://aclanthology.org/2025.naacl-long.253/) *— 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. [Evaluating Spoken Language Features in Conversational Models: The Case of Disfluencies and Feedbacks](https://aclanthology.org/2025.sigdial-1.23/) *— 2025 · Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
77. [Evaluating Structural and Linguistic Quality in Urdu DRS Parsing and Generation through Bidirectional Evaluation](https://aclanthology.org/2025.indonlp-1.4/) *— 2025 · Proceedings of the First Workshop on Natural Language Processing for Indo-Aryan and Dravidian Languages*
78. [Evaluating Text Generation Quality Using Spectral Distances of Surprisal](https://aclanthology.org/2025.findings-emnlp.132/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
79. [Evaluating Text Style Transfer Evaluation: Are There Any Reliable Metrics?](https://aclanthology.org/2025.naacl-srw.41/) *— 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)*
80. [Evaluating WMT 2025 Metrics Shared Task Submissions on the SSA-MTE African Challenge Set](https://aclanthology.org/2025.wmt-1.65/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
81. [Evaluating and Improving Graph to Text Generation with Large Language Models](https://aclanthology.org/2025.naacl-long.513/) *— 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)*
82. [Evaluating the Effectiveness of Direct Preference Optimization for Personalizing German Automatic Text Simplifications for Persons with Intellectual Disabilities](https://arxiv.org/abs/2507.01479) *— 2025 · arXiv:2507.01479*
83. [Evaluating the Evaluation of Diversity in Commonsense Generation](https://aclanthology.org/2025.acl-long.1181/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
84. [Evaluating the Feasibility of Using ChatGPT for Cross-cultural Survey Translation](https://aclanthology.org/2025.konvens-1.16/) *— 2025 · Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Long and Short Papers*
85. [Evaluating the LLM and NMT Models in Translating Low-Resourced Languages](https://aclanthology.org/2025.r2lm-1.13/) *— 2025 · Proceedings of the First Workshop on Comparative Performance Evaluation: From Rules to Language Models*
86. [Evaluating the Long-Term Memory of Large Language Models](https://aclanthology.org/2025.findings-acl.1014/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
87. [Evaluation Framework for Layered Meaning Representation](https://aclanthology.org/2025.dmr-1.5/) *— 2025 · Proceedings of the Sixth International Workshop on Designing Meaning Representations*
88. [Evaluation Under Imperfect Benchmarks and Ratings: A Case Study in Text Simplification](https://arxiv.org/abs/2504.09394) *— 2025 · arXiv:2504.09394*
89. [Evaluation of Italian and English Small Language Models for Domain-based QA in Low-Resource Scenario](https://aclanthology.org/2025.clicit-1.101/) *— 2025 · Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)*
90. [Evaluation of LLM for English to Hindi Legal Domain Machine Translation Systems](https://aclanthology.org/2025.wmt-1.57/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
91. [ExPerT: Effective and Explainable Evaluation of Personalized Long-Form Text Generation](https://aclanthology.org/2025.findings-acl.900/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
92. [ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation](https://aclanthology.org/2025.emnlp-main.362/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
93. [Explanations explained. Influence of Free-text Explanations on LLMs and the Role of Implicit Knowledge](https://aclanthology.org/2025.starsem-1.17/) *— 2025 · Proceedings of the 14th Joint Conference on Lexical and Computational Semantics (*SEM 2025)*
94. [Exploiting Task Reversibility of DRS Parsing and Generation: Challenges and Insights from a Multi-lingual Perspective](https://md.research.elamur.ai/free/en/papers/amin-2025-exploiting-task-reversibility-drs-parsing/) *— our card · 2025 · Proceedings of the First Workshop on Language Models for Low-Resource Languages*
95. [Exploring Context Strategies in LLMs for Discourse-Aware Machine Translation](https://aclanthology.org/2025.findings-emnlp.1324/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
96. [Exploring Fine-Grained Human Motion Video Captioning](https://aclanthology.org/2025.coling-main.351/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
97. [Exploring In-Image Machine Translation with Real-World Background](https://aclanthology.org/2025.findings-acl.6/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
98. [Exploring Persona Sentiment Sensitivity in Personalized Dialogue Generation](https://aclanthology.org/2025.acl-long.900/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
99. [Exploring the Generalizability of Factual Hallucination Mitigation via Enhancing Precise Knowledge Utilization](https://aclanthology.org/2025.findings-emnlp.211/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
100. [Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysis](https://aclanthology.org/2025.acl-long.504/) *— 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/) · … · [10](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/10/) · **11** · [12](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/12/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)