---
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/17/"
---
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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 17

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/) · … · [16](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/16/) · **17** · [18](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/18/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [Prédiction des préférences et génération de revue personnalisée basées sur les aspects et attention](https://aclanthology.org/2025.jeptalnrecital-coria.14/) *— 2025 · Actes de la 20e Conférence en Recherche d'Information et Applications (CORIA)*
2. [PsyAdvisor: A Plug-and-Play Strategy Advice Planner with Proactive Questioning in Psychological Conversations](https://aclanthology.org/2025.acl-long.596/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [PsyDT: Using LLMs to Construct the Digital Twin of Psychological Counselor with Personalized Counseling Style for Psychological Counseling](https://aclanthology.org/2025.acl-long.55/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [Pula: Training Large Language Models for Setswana](https://aclanthology.org/2025.naacl-long.338/) *— 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)*
5. [Pun2Pun: Benchmarking LLMs on Textual-Visual Chinese-English Pun Translation via Pragmatics Model and Linguistic Reasoning](https://aclanthology.org/2025.acl-srw.23/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
6. [PuzzleGPT: Emulating Human Puzzle-Solving Ability for Time and Location Prediction](https://aclanthology.org/2025.findings-naacl.111/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
7. [QCoder Benchmark: Bridging Language Generation and Quantum Hardware through Simulator-Based Feedback](https://aclanthology.org/2025.inlg-main.43/) *— 2025 · Proceedings of the 18th International Natural Language Generation Conference*
8. [QFrCoLA: a Quebec-French Corpus of Linguistic Acceptability Judgments](https://aclanthology.org/2025.emnlp-main.6/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
9. [QG-SMS: Enhancing Test Item Analysis via Student Modeling and Simulation](https://aclanthology.org/2025.acl-long.1268/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
10. [QUARTZ : Approche abstractive non supervisée par question-réponse pour le résumé de dialogue orienté tâche](https://aclanthology.org/2025.jeptalnrecital-taln.39/) *— 2025 · Actes des 32ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN), volume 1 : articles scientifiques originaux*
11. [QUARTZ: QA-based Unsupervised Abstractive Refinement for Task-oriented Dialogue Summarization](https://aclanthology.org/2025.findings-emnlp.793/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
12. [QUENCH: Measuring the gap between Indic and Non-Indic Contextual General Reasoning in LLMs](https://aclanthology.org/2025.coling-main.303/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
13. [QUESPA Submission for the IWSLT 2025 Dialectal and Low-resource Speech Translation Task](https://aclanthology.org/2025.iwslt-1.25/) *— 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)*
14. [QiMeng-MuPa: Mutual-Supervised Learning for Sequential-to-Parallel Code Translation](https://arxiv.org/abs/2506.11153) *— 2025 · arXiv:2506.11153*
15. [QuASAR: A Question-Driven Structure-Aware Approach for Table-to-Text Generation](https://aclanthology.org/2025.acl-long.1300/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
16. [Quality Beyond A Glance: Revealing Large Quality Differences Between Web-Crawled Parallel Corpora](https://aclanthology.org/2025.coling-main.124/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
17. [Quality Estimation Reranking for Document-Level Translation](https://arxiv.org/abs/2510.08870) *— 2025 · arXiv:2510.08870*
18. [Quality Estimation and Post-Editing Using LLMs For Indic Languages: How Good Is It?](https://aclanthology.org/2025.mtsummit-1.30/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
19. [Quality Matters Measuring the Effect of Human-Annotated Translation Quality on English-Slovak Machine Translation](https://aclanthology.org/2025.globalnlp-1.9/) *— 2025 · Proceedings of the Workshop on Beyond English: Natural Language Processing for all Languages in an Era of Large Language Models*
20. [Quality-Informed Segment-Level Error Correction Using Natural Language Explanations from xTower and Large Language Models](https://aclanthology.org/2025.wmt-1.75/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
21. [Quality-aware Neural Machine Translation with Self-evaluation](https://aclanthology.org/2025.ccl-1.87/) *— 2025 · Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)*
22. [Quantifying the Influence of Evaluation Aspects on Long-Form Response Assessment](https://aclanthology.org/2025.coling-main.588/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
23. [RAC: Efficient LLM Factuality Correction with Retrieval Augmentation](https://aclanthology.org/2025.findings-emnlp.1370/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
24. [RADAR: Enhancing Radiology Report Generation with Supplementary Knowledge Injection](https://aclanthology.org/2025.acl-long.1279/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
25. [RAED: Retrieval-Augmented Entity Description Generation for Emerging Entity Linking and Disambiguation](https://aclanthology.org/2025.emnlp-main.1746/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
26. [RAG-Enhanced Neural Machine Translation of Ancient Egyptian Text: A Case Study of THOTH AI](https://aclanthology.org/2025.nlp4dh-1.4/) *— 2025 · Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities*
27. [RAG-Zeval: Enhancing RAG Responses Evaluator through End-to-End Reasoning and Ranking-Based Reinforcement Learning](https://aclanthology.org/2025.emnlp-main.1267/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
28. [RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework](https://aclanthology.org/2025.acl-long.418/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
29. [RAGferee: Building Contextual Reward Models for Retrieval-Augmented Generation](https://aclanthology.org/2025.emnlp-main.414/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
30. [RAP: A Metric for Balancing Repetition and Performance in Open-Source Large Language Models](https://aclanthology.org/2025.naacl-long.69/) *— 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)*
31. [RCI: A Score for Evaluating Global and Local Reasoning in Multimodal Benchmarks](https://aclanthology.org/2025.emnlp-industry.10/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track*
32. [RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution](https://aclanthology.org/2025.emnlp-main.252/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
33. [RETAIL: Towards Real-world Travel Planning for Large Language Models](https://aclanthology.org/2025.emnlp-main.752/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
34. [RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility](https://arxiv.org/abs/2509.23115) *— 2025 · arXiv:2509.23115*
35. [RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction](https://aclanthology.org/2025.emnlp-main.1105/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
36. [RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation](https://aclanthology.org/2025.findings-emnlp.166/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
37. [RONA: Pragmatically Diverse Image Captioning with Coherence Relations](https://aclanthology.org/2025.in2writing-1.8/) *— 2025 · Proceedings of the Fourth Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2025)*
38. [RUBY: An Effective Framework for Multi-Constraint Multi-Hop Question Generation](https://aclanthology.org/2025.acl-long.889/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
39. [RadEval: A framework for radiology text evaluation](https://aclanthology.org/2025.emnlp-demos.40/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
40. [RankLLM: A Multi-Criteria Decision-Making Method for LLM Performance Evaluation in Sentiment Analysis](https://aclanthology.org/2025.ccl-1.62/) *— 2025 · Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)*
41. [Ranking Over Scoring: Towards Reliable and Robust Automated Evaluation of LLM-Generated Medical Explanatory Arguments](https://aclanthology.org/2025.coling-main.634/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
42. [Rating Roulette: Self-Inconsistency in LLM-As-A-Judge Frameworks](https://aclanthology.org/2025.findings-emnlp.1361/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
43. [Rationalize and Align: Enhancing Writing Assistance with Rationale via Self-Training for Improved Alignment](https://aclanthology.org/2025.findings-acl.1383/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
44. [ReEvalMed: Rethinking Medical Report Evaluation by Aligning Metrics with Real-World Clinical Judgment](https://aclanthology.org/2025.emnlp-main.598/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
45. [ReGal: A First Look at PPO-based Legal AI for Judgment Prediction and Summarization in India](https://arxiv.org/abs/2512.18014) *— 2025 · arXiv:2512.18014*
46. [ReMedy: Learning Machine Translation Evaluation from Human Preferences with Reward Modeling](https://aclanthology.org/2025.emnlp-main.217/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
47. [Read it in Two Steps: Translating Extremely Low-Resource Languages with Code-Augmented Grammar Books](https://aclanthology.org/2025.acl-long.202/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
48. [Readability Measures and Automatic Text Simplification: In the Search of a Construct](https://arxiv.org/abs/2511.09536) *— 2025 · arXiv:2511.09536*
49. [Reasoning Knowledge Filter for Logical Table-to-Text Generation](https://aclanthology.org/2025.neusymbridge-1.3/) *— 2025 · Proceedings of Bridging Neurons and Symbols for Natural Language Processing and Knowledge Graphs Reasoning @ COLING 2025*
50. [Reasoning-Guided Claim Normalization for Noisy Multilingual Social Media Posts](https://arxiv.org/abs/2511.05078) *— 2025 · arXiv:2511.05078*
51. [Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data?](https://aclanthology.org/2025.emnlp-main.1643/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
52. [Refer to the Reference: Reference-focused Synthetic Automatic Post-Editing Data Generation](https://aclanthology.org/2025.coling-main.344/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
53. [References Matter: Investigating the Impact of Reference Set Variation on Summarization Evaluation](https://aclanthology.org/2025.inlg-main.18/) *— 2025 · Proceedings of the 18th International Natural Language Generation Conference*
54. [Refined Evaluation for End-to-End Grammatical Error Correction Using an Alignment-Based Approach](https://aclanthology.org/2025.coling-main.52/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
55. [Refining Attention for Explainable and Noise-Robust Fact-Checking with Transformers](https://aclanthology.org/2025.emnlp-main.1295/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
56. [ReflectDiffu: Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework](https://aclanthology.org/2025.acl-long.1235/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
57. [Reframe Your Life Story: Interactive Narrative Therapist and Innovative Moment Assessment with Large Language Models](https://aclanthology.org/2025.emnlp-main.1245/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
58. [Regional Tiny Stories: Using Small Models to Compare Language Learning and Tokenizer Performance](https://arxiv.org/abs/2504.07989) *— 2025 · arXiv:2504.07989*
59. [Regional-TinyStories: A Small Language Model Framework for Evaluating Language Learning, Tokenizers, and Datasets](https://aclanthology.org/2025.findings-ijcnlp.142/) *— 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*
60. [Registering Source Tokens to Target Language Spaces in Multilingual Neural Machine Translation](https://aclanthology.org/2025.acl-long.1052/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
61. [Reinforcement Learning with Supervised Alignment](https://aclanthology.org/2025.findings-emnlp.378/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
62. [Repousser les limites des benchmarks actuels pour une évaluation réaliste des LLMs en migration de code](https://aclanthology.org/2025.jeptalnrecital-taln.41/) *— 2025 · Actes des 32ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN), volume 1 : articles scientifiques originaux*
63. [ReproHum \#0031-01: Reproducing the Human Evaluation of Readability from “It is AI”s Turn to Ask Humans a Question](https://aclanthology.org/2025.gem-1.52/) *— 2025 · Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM\texttwosuperior)*
64. [ReproHum \#0033-05: Human Evaluation of Factuality from A Multidisciplinary Perspective](https://aclanthology.org/2025.gem-1.53/) *— 2025 · Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM\texttwosuperior)*
65. [ReproHum \#0067-01: A Reproduction of the Evaluation of Cross-Lingual Summarization](https://aclanthology.org/2025.gem-1.56/) *— 2025 · Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM\texttwosuperior)*
66. [ReproHum: \#0744-02: Investigating the Reproducibility of Semantic Preservation Human Evaluations](https://aclanthology.org/2025.gem-1.54/) *— 2025 · Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM\texttwosuperior)*
67. [Reranking-based Generation for Unbiased Perspective Summarization](https://aclanthology.org/2025.findings-acl.1268/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
68. [Rethinking Cross-Subject Data Splitting for Brain-to-Text Decoding](https://aclanthology.org/2025.emnlp-main.289/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
69. [Rethinking Long Context Generation from the Continual Learning Perspective](https://aclanthology.org/2025.coling-main.131/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
70. [Rethinking Multilingual Continual Pretraining: Data Mixing for Adapting LLMs Across Languages and Resources](https://arxiv.org/abs/2504.04152) *— 2025 · arXiv:2504.04152*
71. [Rethinking Sign Language Translation: The Impact of Signer Dependence on Model Evaluation](https://aclanthology.org/2025.findings-emnlp.997/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
72. [Rethinking Text-based Protein Understanding: Retrieval or LLM?](https://aclanthology.org/2025.emnlp-main.1211/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
73. [Rethinking-based Code Summarization with Chain of Comments](https://aclanthology.org/2025.coling-main.204/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
74. [Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models](https://aclanthology.org/2025.findings-acl.430/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
75. [Retrieval-Augmented Machine Translation with Unstructured Knowledge](https://aclanthology.org/2025.findings-emnlp.313/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
76. [Revisiting Compositional Generalization Capability of Large Language Models Considering Instruction Following Ability](https://aclanthology.org/2025.acl-long.1508/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
77. [Revisiting Intermediate-Layer Matching in Knowledge Distillation: Layer-Selection Strategy Doesn”t Matter (Much)](https://aclanthology.org/2025.findings-ijcnlp.105/) *— 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*
78. [RingFormer: Rethinking Recurrent Transformer with Adaptive Level Signals](https://aclanthology.org/2025.findings-emnlp.1182/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
79. [RoDEval: A Robust Word Sense Disambiguation Evaluation Framework for Large Language Models](https://aclanthology.org/2025.emnlp-main.864/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
80. [RoleMRC: A Fine-Grained Composite Benchmark for Role-Playing and Instruction-Following](https://aclanthology.org/2025.findings-acl.1082/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
81. [Roman Kyslyi; Yuliia Maksymiuk; Ihor Pysmennyi. Vuyko Mistral: Adapting LLMs for Low-Resource Dialectal Translation // UNLP 2025](https://aclanthology.org/2025.unlp-1.10/) *— 2025 · UNLP 2025*
82. [SAFT: Structure-Aware Fine-Tuning of LLMs for AMR-to-Text Generation](https://arxiv.org/abs/2507.13381) *— 2025 · arXiv:2507.13381*
83. [SEBRAG : Vers l”Utilisation des LLM pour une Tâche de Questions-Réponses Extractive](https://aclanthology.org/2025.jeptalnrecital-coria.18/) *— 2025 · Actes de la 20e Conférence en Recherche d'Information et Applications (CORIA)*
84. [SEEval: Advancing LLM Text Evaluation Efficiency and Accuracy through Self-Explanation Prompting](https://aclanthology.org/2025.findings-naacl.411/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
85. [SEPSIS: I Can Catch Your Lies – A New Paradigm for Deception Detection](https://aclanthology.org/2025.acl-srw.7/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
86. [SH at WMT25 General Machine Translation Task](https://aclanthology.org/2025.wmt-1.39/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
87. [SHARE: Shared Memory-Aware Open-Domain Long-Term Dialogue Dataset Constructed from Movie Script](https://aclanthology.org/2025.acl-long.704/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
88. [SHIFT: Selected Helpful Informative Frame for Video-guided Machine Translation](https://aclanthology.org/2025.emnlp-main.161/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
89. [SHuBERT: Self-Supervised Sign Language Representation Learning via Multi-Stream Cluster Prediction](https://aclanthology.org/2025.acl-long.1397/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
90. [SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials](https://aclanthology.org/2025.findings-naacl.35/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
91. [SLoW: Select Low-frequency Words! Automatic Dictionary Selection for Translation on Large Language Models](https://aclanthology.org/2025.emnlp-main.46/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
92. [SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation](https://arxiv.org/abs/2507.03415) *— 2025 · arXiv:2507.03415*
93. [SOTOPIA-\ensuremath\Omega: Dynamic Strategy Injection Learning and Social Instruction Following Evaluation for Social Agents](https://aclanthology.org/2025.acl-long.1203/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
94. [SPECS: Specificity-Enhanced CLIP-Score for Long Image Caption Evaluation](https://aclanthology.org/2025.emnlp-main.477/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
95. [SQLWOZ: A Realistic Task-Oriented Dialogue Dataset with SQL-Based Dialogue State Representation for Complex User Requirements](https://aclanthology.org/2025.emnlp-main.383/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
96. [SSA-COMET: Do LLMs Outperform Learned Metrics in Evaluating MT for Under-Resourced African Languages?](https://aclanthology.org/2025.emnlp-main.656/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
97. [SUA: Stealthy Multimodal Large Language Model Unlearning Attack](https://aclanthology.org/2025.emnlp-main.565/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
98. [SUWMIT at BioLaySumm2025: Instruction-based Summarization with Contrastive Decoding](https://aclanthology.org/2025.bionlp-share.29/) *— 2025 · Proceedings of the 24th Workshop on Biomedical Language Processing (Shared Tasks)*
99. [Sali4Vid: Saliency-Aware Video Reweighting and Adaptive Caption Retrieval for Dense Video Captioning](https://aclanthology.org/2025.emnlp-main.1308/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
100. [Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition](https://aclanthology.org/2025.acl-long.535/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*

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