---
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/8/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/8/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [METEOR: An Automatic Metric for MT Evaluation…](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/) / cited by

# Who cites «METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments» · page 8

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/) · … · [7](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/7/) · **8** · [9](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/9/) · … · [21](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/21/)

1. [Lost in Translation: Chemical Language Models and the Misunderstanding of Molecule Structures](https://aclanthology.org/2024.findings-emnlp.760/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
2. [Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation](https://aclanthology.org/2024.findings-acl.211/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
3. [M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering](https://aclanthology.org/2024.findings-acl.238/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
4. [M5 – A Diverse Benchmark to Assess the Performance of Large Multimodal Models Across Multilingual and Multicultural Vision-Language Tasks](https://aclanthology.org/2024.findings-emnlp.250/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
5. [MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding](https://arxiv.org/abs/2404.05726) *— 2024 · arXiv:2404.05726*
6. [MAPLE: Micro Analysis of Pairwise Language Evolution for Few-Shot Claim Verification](https://aclanthology.org/2024.findings-eacl.79/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
7. [MLBMIKABR at “Discharge Me!”: Concept Based Clinical Text Description Generation](https://aclanthology.org/2024.bionlp-1.66/) *— 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing*
8. [MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark](https://arxiv.org/abs/2402.04788) *— 2024 · arXiv:2402.04788*
9. [MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding](https://arxiv.org/abs/2407.04903) *— 2024 · arXiv:2407.04903*
10. [MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning](https://aclanthology.org/2024.findings-acl.69/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
11. [MUG: Interactive Multimodal Grounding on User Interfaces](https://aclanthology.org/2024.findings-eacl.17/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
12. [MapGuide: A Simple yet Effective Method to Reconstruct Continuous Language from Brain Activities](https://aclanthology.org/2024.naacl-long.211/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
13. [Masking Latent Gender Knowledge for Debiasing Image Captioning](https://aclanthology.org/2024.trustnlp-1.19/) *— 2024 · Proceedings of the 4th Workshop on Trustworthy Natural Language Processing (TrustNLP 2024)*
14. [MatchTime: Towards Automatic Soccer Game Commentary Generation](https://aclanthology.org/2024.emnlp-main.99/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
15. [MedCycle: Unpaired Medical Report Generation via Cycle-Consistency](https://aclanthology.org/2024.findings-naacl.125/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
16. [MedExQA: Medical Question Answering Benchmark with Multiple Explanations](https://aclanthology.org/2024.bionlp-1.14/) *— 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing*
17. [MedLogic-AQA: Enhancing Medicare Question Answering with Abstractive Models Focusing on Logical Structures](https://aclanthology.org/2024.findings-emnlp.981/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
18. [MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences](https://arxiv.org/abs/2410.02381) *— 2024 · arXiv:2410.02381*
19. [MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors](https://arxiv.org/abs/2405.01413) *— 2024 · arXiv:2405.01413*
20. [Missci: Reconstructing Fallacies in Misrepresented Science](https://aclanthology.org/2024.acl-long.240/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
21. [Mitigating Hallucinations in Large Vision-Language Models (LVLMs) via Language-Contrastive Decoding (LCD)](https://aclanthology.org/2024.findings-acl.359/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
22. [MrRank: Improving Question Answering Retrieval System through Multi-Result Ranking Model](https://aclanthology.org/2024.findings-acl.282/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
23. [Muffin: Mitigating Unhelpfulness in Emotional Support Conversations with Multifaceted AI Feedback](https://aclanthology.org/2024.findings-acl.31/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
24. [Multi-Objective Forward Reasoning and Multi-Reward Backward Refinement for Product Review Summarization](https://aclanthology.org/2024.lrec-main.1043/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
25. [Multi-Review Fusion-in-Context](https://aclanthology.org/2024.findings-naacl.189/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
26. [Multimodal Chain-of-Thought Prompting for Metaphor Generation](https://aclanthology.org/2024.clicit-1.62/) *— 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)*
27. [Multimodal Procedural Planning via Dual Text-Image Prompting](https://aclanthology.org/2024.findings-emnlp.641/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
28. [MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response](https://aclanthology.org/2024.findings-naacl.231/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
29. [Navigating the Metrics Maze: Reconciling Score Magnitudes and Accuracies](https://aclanthology.org/2024.acl-long.110/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
30. [No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages](https://aclanthology.org/2024.emnlp-main.1165/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
31. [No perspective, no perception!! Perspective-aware Healthcare Answer Summarization](https://aclanthology.org/2024.findings-acl.942/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
32. [Not (yet) the whole story: Evaluating Visual Storytelling Requires More than Measuring Coherence, Grounding, and Repetition](https://aclanthology.org/2024.findings-emnlp.679/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
33. [Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References](https://aclanthology.org/2024.naacl-long.367/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
34. [NyayaAnumana & INLegalLlama: The Largest Indian Legal Judgment Prediction Dataset and Specialized Language Model for Enhanced Decision Analysis](https://arxiv.org/abs/2412.08385) *— 2024 · arXiv:2412.08385*
35. [OLIVE: Object Level In-Context Visual Embeddings](https://aclanthology.org/2024.acl-long.282/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
36. [OctoPack: Instruction Tuning Code Large Language Models](https://arxiv.org/abs/2308.07124) *— 2024 · arXiv:2308.07124*
37. [On Creating an English-Thai Code-switched Machine Translation in Medical Domain](https://aclanthology.org/2024.findings-emnlp.351/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
38. [On The Persona-based Summarization of Domain-Specific Documents](https://aclanthology.org/2024.findings-acl.849/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
39. [On Zero-Shot Counterspeech Generation by LLMs](https://aclanthology.org/2024.lrec-main.1090/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
40. [On the Efficacy of Eviction Policy for Key-Value Constrained Generative Language Model Inference](https://arxiv.org/abs/2402.06262) *— 2024 · arXiv:2402.06262*
41. [On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models](https://aclanthology.org/2024.acl-short.12/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
42. [Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning](https://aclanthology.org/2024.emnlp-main.565/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
43. [Outcome-Constrained Large Language Models for Countering Hate Speech](https://aclanthology.org/2024.emnlp-main.260/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
44. [PCQPR: Proactive Conversational Question Planning with Reflection](https://aclanthology.org/2024.emnlp-main.631/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
45. [ParaPLUIE - une mesure automatique d'évaluation de la qualité sémantique des systèmes de paraphrases](https://aclanthology.org/2024.jeptalnrecital-taln.40/) *— 2024 · Actes de la 31ème Conférence sur le Traitement Automatique des Langues Naturelles, volume 1 : articles longs et prises de position*
46. [Perceptions of Educators on MTQA Curriculum and Instruction](https://aclanthology.org/2024.eamt-1.41/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
47. [Personalized Video Comment Generation](https://aclanthology.org/2024.findings-emnlp.979/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
48. [PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs](https://aclanthology.org/2024.findings-acl.400/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
49. [Pipeline Neural Data-to-text with Large Language Models](https://aclanthology.org/2024.inlg-main.27/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
50. [PizzaCommonSense: A Dataset for Commonsense Reasoning about Intermediate Steps in Cooking Recipes](https://aclanthology.org/2024.findings-emnlp.728/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
51. [PositionID: LLMs can Control Lengths, Copy and Paste with Explicit Positional Awareness](https://aclanthology.org/2024.findings-emnlp.983/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
52. [Pretraining and Updates of Domain-Specific LLM: A Case Study in the Japanese Business Domain](https://aclanthology.org/2024.paclic-1.30/) *— 2024 · Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation*
53. [ProConSuL: Project Context for Code Summarization with LLMs](https://aclanthology.org/2024.emnlp-industry.65/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track*
54. [Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation](https://aclanthology.org/2024.findings-acl.672/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
55. [Promoting Data and Model Privacy in Federated Learning through Quantized LoRA](https://aclanthology.org/2024.findings-emnlp.615/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
56. [Prompting Vision-Language Models For Aspect-Controlled Generation of Referring Expressions](https://aclanthology.org/2024.findings-naacl.178/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
57. [ProtT3: Protein-to-Text Generation for Text-based Protein Understanding](https://aclanthology.org/2024.acl-long.324/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
58. [ProxyQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models](https://aclanthology.org/2024.acl-long.368/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
59. [QGEval: Benchmarking Multi-dimensional Evaluation for Question Generation](https://aclanthology.org/2024.emnlp-main.658/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
60. [Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model](https://aclanthology.org/2024.acl-long.836/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
61. [R-BASS : Relevance-aided Block-wise Adaptation for Speech Summarization](https://aclanthology.org/2024.findings-naacl.54/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
62. [README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP](https://aclanthology.org/2024.findings-emnlp.737/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
63. [RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization](https://aclanthology.org/2024.naacl-long.121/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
64. [RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models](https://aclanthology.org/2024.emnlp-main.62/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
65. [RaTEScore: A Metric for Radiology Report Generation](https://aclanthology.org/2024.emnlp-main.836/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
66. [Ranking Large Language Models without Ground Truth](https://aclanthology.org/2024.findings-acl.143/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
67. [Rapidly Piloting Real-time Linguistic Assistance for Simultaneous Interpreters with Untrained Bilingual Surrogates](https://aclanthology.org/2024.lrec-main.1185/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
68. [ReactXT: Understanding Molecular “Reaction-ship” via Reaction-Contextualized Molecule-Text Pretraining](https://aclanthology.org/2024.findings-acl.318/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
69. [Reference-Based Metrics Are Biased Against Blind and Low-Vision Users' Image Description Preferences](https://aclanthology.org/2024.nlp4pi-1.26/) *— 2024 · Proceedings of the Third Workshop on NLP for Positive Impact*
70. [Reference-based Metrics Disprove Themselves in Question Generation](https://aclanthology.org/2024.findings-emnlp.798/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
71. [RepEval: Effective Text Evaluation with LLM Representation](https://aclanthology.org/2024.emnlp-main.398/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
72. [Rethinking Efficient Multilingual Text Summarization Meta-Evaluation](https://aclanthology.org/2024.findings-acl.930/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
73. [Retrieving Semantics for Fact-Checking: A Comparative Approach using CQ (Claim to Question) & AQ (Answer to Question)](https://aclanthology.org/2024.fever-1.3/) *— 2024 · Proceedings of the Seventh Fact Extraction and VERification Workshop (FEVER)*
74. [Revisiting Automated Evaluation for Long-form Table Question Answering](https://aclanthology.org/2024.emnlp-main.815/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
75. [SCO-VIST: Social Interaction Commonsense Knowledge-based Visual Storytelling](https://aclanthology.org/2024.eacl-long.96/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
76. [SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation](https://aclanthology.org/2024.findings-acl.911/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
77. [SMILE: Multimodal Dataset for Understanding Laughter in Video with Language Models](https://aclanthology.org/2024.findings-naacl.73/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
78. [SMILE: Single-turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health Support](https://aclanthology.org/2024.findings-emnlp.34/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
79. [SPRING Lab IITM's Submission to Low Resource Indic Language Translation Shared Task](https://aclanthology.org/2024.wmt-1.68/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
80. [STICKERCONV: Generating Multimodal Empathetic Responses from Scratch](https://aclanthology.org/2024.acl-long.417/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
81. [Sawaal: A Framework for Automatic Question Generation in Urdu](https://aclanthology.org/2024.icnlsp-1.16/) *— 2024 · Proceedings of the 7th International Conference on Natural Language and Speech Processing (ICNLSP 2024)*
82. [SciPara: A New Dataset for Investigating Paragraph Discourse Structure in Scientific Papers](https://aclanthology.org/2024.codi-1.2/) *— 2024 · Proceedings of the 5th Workshop on Computational Approaches to Discourse (CODI 2024)*
83. [See It All: Contextualized Late Aggregation for 3D Dense Captioning](https://aclanthology.org/2024.findings-acl.202/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
84. [Self-Improving Customer Review Response Generation Based on LLMs](https://aclanthology.org/2024.ecnlp-1.5/) *— 2024 · Proceedings of the Seventh Workshop on e-Commerce and NLP @ LREC-COLING 2024*
85. [Shimo Lab at “Discharge Me!”: Discharge Summarization by Prompt-Driven Concatenation of Electronic Health Record Sections](https://aclanthology.org/2024.bionlp-1.56/) *— 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing*
86. [SmurfCat at SemEval-2024 Task 6: Leveraging Synthetic Data for Hallucination Detection](https://aclanthology.org/2024.semeval-1.125/) *— 2024 · Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)*
87. [Soda-Eval: Open-Domain Dialogue Evaluation in the age of LLMs](https://aclanthology.org/2024.findings-emnlp.684/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
88. [Soft Measures for Extracting Causal Collective Intelligence](https://aclanthology.org/2024.nlp4science-1.9/) *— 2024 · Proceedings of the 1st Workshop on NLP for Science (NLP4Science)*
89. [Story Morals: Surfacing value-driven narrative schemas using large language models](https://aclanthology.org/2024.emnlp-main.723/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
90. [Study of the State of the Art Galician Machine Translation: English-Galician and Spanish-Galician models](https://aclanthology.org/2024.propor-1.42/) *— 2024 · Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 1*
91. [Subspace Representations for Soft Set Operations and Sentence Similarities](https://aclanthology.org/2024.naacl-long.192/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
92. [Summary of the Visually Grounded Story Generation Challenge](https://aclanthology.org/2024.inlg-genchal.3/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference: Generation Challenges*
93. [TOAD: Task-Oriented Automatic Dialogs with Diverse Response Styles](https://aclanthology.org/2024.findings-acl.494/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
94. [TRIP NEGOTIATOR: A Travel Persona-aware Reinforced Dialogue Generation Model for Personalized Integrative Negotiation in Tourism](https://aclanthology.org/2024.findings-emnlp.967/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
95. [TROPE: TRaining-Free Object-Part Enhancement for Seamlessly Improving Fine-Grained Zero-Shot Image Captioning](https://aclanthology.org/2024.findings-emnlp.207/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
96. [TURNA: A Turkish Encoder-Decoder Language Model for Enhanced Understanding and Generation](https://aclanthology.org/2024.findings-acl.600/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
97. [TaPERA: Enhancing Faithfulness and Interpretability in Long-Form Table QA by Content Planning and Execution-based Reasoning](https://aclanthology.org/2024.acl-long.692/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
98. [TeamSaarLST at the GEM”24 Data-to-text Task: Revisiting symbolic retrieval in the LLM-age](https://aclanthology.org/2024.inlg-genchal.10/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference: Generation Challenges*
99. [The 2024 GEM Shared Task on Multilingual Data-to-Text Generation and Summarization: Overview and Preliminary Results](https://aclanthology.org/2024.inlg-genchal.2/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference: Generation Challenges*
100. [The Automated Verification of Textual Claims (AVeriTeC) Shared Task](https://aclanthology.org/2024.fever-1.1/) *— 2024 · Proceedings of the Seventh Fact Extraction and VERification Workshop (FEVER)*

Pages: [1](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/) · … · [7](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/7/) · **8** · [9](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/9/) · … · [21](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/21/)