---
title: "Who cites METEOR: An Automatic Metric for MT Evaluation…"
description: "The papers of the Elamur Research library that cite «METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments», found…"
canonical: "https://research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/5/"
---
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# Who cites «METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments» · page 5

2025 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/banerjee-2005-meteor-automatic-metric-mt-evaluation/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/) · … · [4](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/4/) · **5** · [6](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/6/) · … · [21](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/21/)

1. [PreSumm: Predicting Summarization Performance Without Summarizing](https://aclanthology.org/2025.findings-acl.940/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
2. [Predicting Implicit Arguments in Procedural Video Instructions](https://aclanthology.org/2025.acl-long.1467/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [Protein Large Language Models: A Comprehensive Survey](https://aclanthology.org/2025.findings-emnlp.1255/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
4. [Protein2Text: Resampling Mechanism to Translate Protein Sequences into Human-Interpretable Text](https://aclanthology.org/2025.naacl-industry.68/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: Industry Track)*
5. [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)*
6. [Pushing the (Generative) Envelope: Measuring the Effect of Prompt Technique and Temperature on the Generation of Model-based Systems Engineering Artifacts](https://aclanthology.org/2025.ranlp-1.137/) *— 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era*
7. [QEVA: A Reference-Free Evaluation Metric for Narrative Video Summarization with Multimodal Question Answering](https://aclanthology.org/2025.findings-emnlp.1340/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
8. [Question Answering in Climate Adaptation for Agriculture: Model Development and Evaluation with Expert Feedback](https://aclanthology.org/2025.findings-acl.368/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
9. [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*
10. [REMOR: Automated Peer Review Generation with LLM Reasoning and Multi-Objective Reinforcement Learning](https://arxiv.org/abs/2505.11718) *— 2025 · arXiv:2505.11718*
11. [RTGen: Real-Time Generative Detection Transformer](https://arxiv.org/abs/2502.20622) *— 2025 · arXiv:2502.20622*
12. [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)*
13. [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*
14. [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*
15. [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*
16. [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*
17. [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*
18. [Reasoning-Guided Claim Normalization for Noisy Multilingual Social Media Posts](https://arxiv.org/abs/2511.05078) *— 2025 · arXiv:2511.05078*
19. [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*
20. [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*
21. [Regional Tiny Stories: Using Small Models to Compare Language Learning and Tokenizer Performance](https://arxiv.org/abs/2504.07989) *— 2025 · arXiv:2504.07989*
22. [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*
23. [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)*
24. [Reranking-based Generation for Unbiased Perspective Summarization](https://aclanthology.org/2025.findings-acl.1268/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
25. [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*
26. [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*
27. [SAKI-RAG: Mitigating Context Fragmentation in Long-Document RAG via Sentence-level Attention Knowledge Integration](https://aclanthology.org/2025.emnlp-main.63/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
28. [SANCTUARY: An Efficient Evidence-based Automated Fact Checking System](https://aclanthology.org/2025.fever-1.19/) *— 2025 · Proceedings of the Eighth Fact Extraction and VERification Workshop (FEVER)*
29. [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*
30. [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)*
31. [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*
32. [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*
33. [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)*
34. [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*
35. [Sci-LoRA: Mixture of Scientific LoRAs for Cross-Domain Lay Paraphrasing](https://aclanthology.org/2025.findings-acl.953/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
36. [Scientific Reasoning: Assessment of Multimodal Generative LLMs](https://arxiv.org/abs/2503.01064) *— 2025 · arXiv:2503.01064*
37. [Segment-Based Attention Masking for GPTs](https://aclanthology.org/2025.acl-long.947/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
38. [SemQA: Evaluating Evidence with Question Embeddings and Answer Entailment for Fact Verification](https://aclanthology.org/2025.fever-1.14/) *— 2025 · Proceedings of the Eighth Fact Extraction and VERification Workshop (FEVER)*
39. [Semantic-Eval : A Semantic Comprehension Evaluation Framework for Large Language Models Generation without Training](https://aclanthology.org/2025.acl-long.477/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
40. [Semantics-aware prompting for translating NOtices To AirMen](https://aclanthology.org/2025.findings-acl.1253/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
41. [SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition](https://aclanthology.org/2025.emnlp-main.19/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
42. [Sentimatic: Sentiment-guided Automatic Generation of Preference Datasets for Customer Support Dialogue System](https://aclanthology.org/2025.naacl-srw.12/) *— 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)*
43. [Sequence Structure Aware Retriever for Procedural Document Retrieval: A New Dataset and Baseline](https://aclanthology.org/2025.findings-emnlp.223/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
44. [Simple and Effective Baselines for Code Summarisation Evaluation](https://aclanthology.org/2025.alta-main.9/) *— 2025 · Proceedings of the 23rd Annual Workshop of the Australasian Language Technology Association*
45. [Speaking Beyond Language: A Large-Scale Multimodal Dataset for Learning Nonverbal Cues from Video-Grounded Dialogues](https://aclanthology.org/2025.acl-long.112/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
46. [Specialised or Generic? Tokenization Choices for Radiology Language Models](https://arxiv.org/abs/2508.09952) *— 2025 · arXiv:2508.09952*
47. [Specification-Aware Machine Translation and Evaluation for Purpose Alignment](https://aclanthology.org/2025.wmt-1.7/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
48. [Stance-aware Definition Generation for Argumentative Texts](https://aclanthology.org/2025.argmining-1.16/) *— 2025 · Proceedings of the 12th Argument mining Workshop*
49. [Steering Large Language Models with Register Analysis for Arbitrary Style Transfer](https://arxiv.org/abs/2505.00679) *— 2025 · arXiv:2505.00679*
50. [StockGenChaR: A Study on the Evaluation of Large Vision-Language Models on Stock Chart Captioning](https://aclanthology.org/2025.finnlp-2.4/) *— 2025 · Proceedings of The 10th Workshop on Financial Technology and Natural Language Processing*
51. [StoryLLaVA: Enhancing Visual Storytelling with Multi-Modal Large Language Models](https://aclanthology.org/2025.coling-main.266/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
52. [StreamMind: Unlocking Full Frame Rate Streaming Video Dialogue through Event-Gated Cognition](https://arxiv.org/abs/2503.06220) *— 2025 · arXiv:2503.06220*
53. [Structural Reasoning Improves Molecular Understanding of LLM](https://aclanthology.org/2025.acl-long.1023/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
54. [Structured Definitions and Segmentations for Legal Reasoning in LLMs: A Study on Indian Legal Data](https://arxiv.org/abs/2511.20669) *— 2025 · arXiv:2511.20669*
55. [Structured Discourse Representation for Factual Consistency Verification](https://aclanthology.org/2025.findings-acl.46/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
56. [Summarisation of German Judgments in conjunction with a Class-based Evaluation](https://arxiv.org/abs/2505.05947) *— 2025 · arXiv:2505.05947*
57. [Summarizing Speech: A Comprehensive Survey](https://aclanthology.org/2025.emnlp-main.1388/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
58. [Survey of Abstract Meaning Representation: Then, Now, Future](https://md.research.elamur.ai/free/en/papers/mansouri-2025-survey-abstract-meaning-representation-then/) *— our card · 2025 · arXiv:2505.03229*
59. [Sustainable Italian LLM Evaluation: Community Perspectives and Methodological Guidelines](https://aclanthology.org/2025.clicit-1.71/) *— 2025 · Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)*
60. [SwiLTra-Bench: The Swiss Legal Translation Benchmark](https://aclanthology.org/2025.acl-long.725/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
61. [SynCED-EnDe 2025: A Synthetic and Curated English - German Dataset for Critical Error Detection in Machine Translation](https://arxiv.org/abs/2510.05144) *— 2025 · arXiv:2510.05144*
62. [SyntheT2C: Generating Synthetic Data for Fine-Tuning Large Language Models on the Text2Cypher Task](https://aclanthology.org/2025.coling-main.46/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
63. [TPCap: Unlocking Zero-Shot Image Captioning with Trigger-Augmented and Multi-Modal Purification Modules](https://arxiv.org/abs/2502.11024) *— 2025 · arXiv:2502.11024*
64. [TSVer: A Benchmark for Fact Verification Against Time-Series Evidence](https://aclanthology.org/2025.emnlp-main.1519/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
65. [TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos](https://aclanthology.org/2025.acl-long.91/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
66. [TabComp: A Dataset for Visual Table Reading Comprehension](https://aclanthology.org/2025.findings-naacl.320/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
67. [TabXEval: Why this is a Bad Table? An eXhaustive Rubric for Table Evaluation](https://aclanthology.org/2025.findings-acl.1176/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
68. [Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data](https://aclanthology.org/2025.trl-1.10/) *— 2025 · Proceedings of the 4th Table Representation Learning Workshop*
69. [Task-Specific Information Decomposition for End-to-End Dense Video Captioning](https://aclanthology.org/2025.acl-long.807/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
70. [Tau-Eval: A Unified Evaluation Framework for Useful and Private Text Anonymization](https://aclanthology.org/2025.emnlp-demos.16/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
71. [TeluguST-46: A Benchmark Corpus and Comprehensive Evaluation for Telugu-English Speech Translation](https://aclanthology.org/2025.findings-ijcnlp.77/) *— 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*
72. [TermGPT: Multi-Level Contrastive Fine-Tuning for Terminology Adaptation in Legal and Financial Domain](https://arxiv.org/abs/2511.09854) *— 2025 · arXiv:2511.09854*
73. [Testing Low-Resource Language Support in LLMs Using Language Proficiency Exams: the Case of Luxembourgish](https://arxiv.org/abs/2504.01667) *— 2025 · arXiv:2504.01667*
74. [ThaiOCRBench: A Task-Diverse Benchmark for Vision-Language Understanding in Thai](https://aclanthology.org/2025.ijcnlp-long.89/) *— 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*
75. [The 2024 GEM Shared Task on Multilingual Data-to-Text Generation: English and Spanish Qualitative Evaluation Results](https://aclanthology.org/2025.inlg-genchal.1/) *— 2025 · Proceedings of the 18th International Natural Language Generation Conference: Generation Challenges*
76. [The 2nd Automated Verification of Textual Claims (AVeriTeC) Shared Task: Open-weights, Reproducible and Efficient Systems](https://aclanthology.org/2025.fever-1.15/) *— 2025 · Proceedings of the Eighth Fact Extraction and VERification Workshop (FEVER)*
77. [The Arabic AI Fingerprint: Stylometric Analysis and Detection of Large Language Models Text](https://arxiv.org/abs/2505.23276) *— 2025 · arXiv:2505.23276*
78. [The Comparative Trap: Pairwise Comparisons Amplifies Biased Preferences of LLM Evaluators](https://aclanthology.org/2025.blackboxnlp-1.5/) *— 2025 · Proceedings of the 8th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP*
79. [The Devil is in the Details: Assessing the Effects of Machine-Translation on LLM Performance in Domain-Specific Texts](https://aclanthology.org/2025.mtsummit-1.24/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
80. [The Illusion of a Perfect Metric: Why Evaluating AI ́S Words Is Harder than It Looks](https://aclanthology.org/2025.ranlp-1.95/) *— 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era*
81. [The Pursuit of Empathy: Evaluating Small Language Models for PTSD Dialogue Support](https://aclanthology.org/2025.emnlp-main.1573/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
82. [The Stochastic Parrot on LLM”s Shoulder: A Summative Assessment of Physical Concept Understanding](https://aclanthology.org/2025.naacl-long.569/) *— 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)*
83. [Thesis Proposal: A NeuroSymbolic Approach to Control Task-Oriented Dialog Systems](https://aclanthology.org/2025.ijcnlp-srw.15/) *— 2025 · The 14th International Joint Conference on Natural Language Processing and The 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
84. [Time Travel: A Comprehensive Benchmark to Evaluate LMMs on Historical and Cultural Artifacts](https://aclanthology.org/2025.findings-acl.1211/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
85. [Towards Automatic Evaluation for Image Transcreation](https://aclanthology.org/2025.naacl-long.359/) *— 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)*
86. [Towards Conditioning Clinical Text Generation for User Control](https://aclanthology.org/2025.findings-acl.549/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
87. [Towards Explainable Temporal Reasoning in Large Language Models: A Structure-Aware Generative Framework](https://aclanthology.org/2025.findings-acl.378/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
88. [Towards Inclusive Arabic LLMs: A Culturally Aligned Benchmark in Arabic Large Language Model Evaluation](https://aclanthology.org/2025.loreslm-1.29/) *— 2025 · Proceedings of the First Workshop on Language Models for Low-Resource Languages*
89. [Towards Multi-Document Question Answering in Scientific Literature: Pipeline, Dataset, and Evaluation](https://aclanthology.org/2025.findings-emnlp.576/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
90. [Towards Zero-Shot Multimodal Machine Translation](https://aclanthology.org/2025.findings-naacl.45/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
91. [Towards the Machine Translation of Scientific Neologisms](https://aclanthology.org/2025.coling-main.63/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
92. [Train It and Forget It: Merge Lists are Unnecessary for BPE Inference in Language Models](https://aclanthology.org/2025.emnlp-main.1775/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
93. [Trainable Reference-Based Evaluation Metric for Identifying Quality of English-Gujarati Machine Translation System](https://arxiv.org/abs/2510.05113) *— 2025 · arXiv:2510.05113*
94. [TransBench: Benchmarking Machine Translation for Industrial-Scale Applications](https://arxiv.org/abs/2505.14244) *— 2025 · arXiv:2505.14244*
95. [Translate With Care: Addressing Gender Bias, Neutrality, and Reasoning in Large Language Model Translations](https://aclanthology.org/2025.findings-acl.26/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
96. [Tree-of-Quote Prompting Improves Factuality and Attribution in Multi-Hop and Medical Reasoning](https://aclanthology.org/2025.emnlp-main.285/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
97. [TreeRAG: Unleashing the Power of Hierarchical Storage for Enhanced Knowledge Retrieval in Long Documents](https://aclanthology.org/2025.findings-acl.20/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
98. [Une Approche Linguistique pour l'Évaluation des Caractéristiques du Langage Parlé dans les Modèles Conversationnels](https://aclanthology.org/2025.jeptalnrecital-evalllm.21/) *— 2025 · Actes de l'atelier Évaluation des modèles génératifs (LLM) et challenge 2025 (EvalLLM)*
99. [VC4VG: Optimizing Video Captions for Text-to-Video Generation](https://aclanthology.org/2025.emnlp-main.59/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
100. [VCD: A Dataset for Visual Commonsense Discovery in Images](https://aclanthology.org/2025.findings-acl.290/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*

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