---
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/6/"
---
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# Who cites «METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments» · page 6

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/) · … · [5](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/5/) · **6** · [7](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/7/) · … · [21](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/21/)

1. [VELA: An LLM-Hybrid-as-a-Judge Approach for Evaluating Long Image Captions](https://aclanthology.org/2025.emnlp-main.438/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
2. [VTechAGP: An Academic-to-General-Audience Text Paraphrase Dataset and Benchmark Models](https://aclanthology.org/2025.naacl-long.311/) *— 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)*
3. [VividMed: Vision Language Model with Versatile Visual Grounding for Medicine](https://aclanthology.org/2025.naacl-long.89/) *— 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)*
4. [WIKIGENBENCH:Exploring Full-length Wikipedia Generation under Real-World Scenario](https://aclanthology.org/2025.coling-main.349/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
5. [We Argue to Agree: Towards Personality-Driven Argumentation-Based Negotiation Dialogue Systems for Tourism](https://aclanthology.org/2025.findings-emnlp.1390/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
6. [What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentations](https://aclanthology.org/2025.acl-long.310/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
7. [What Makes for Good Image Captions?](https://aclanthology.org/2025.findings-emnlp.75/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
8. [What Matters in Evaluating Book-Length Stories? A Systematic Study of Long Story Evaluation](https://aclanthology.org/2025.acl-long.799/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
9. [What We Learned from Continually Training Minerva: A Case Study on Italian](https://aclanthology.org/2025.clicit-1.72/) *— 2025 · Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)*
10. [When Harry Meets Superman: The Role of The Interlocutor in Persona-Based Dialogue Generation](https://aclanthology.org/2025.acl-long.879/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
11. [Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore](https://aclanthology.org/2025.coling-main.684/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
12. [WisPerMed @ PerAnsSumm 2025: Strong Reasoning Through Structured Prompting and Careful Answer Selection Enhances Perspective Extraction and Summarization of Healthcare Forum Threads](https://aclanthology.org/2025.cl4health-1.32/) *— 2025 · Proceedings of the Second Workshop on Patient-Oriented Language Processing (CL4Health)*
13. [Writing Like the Best: Exemplar-Based Expository Text Generation](https://aclanthology.org/2025.acl-long.1250/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
14. [X-FLoRA: Cross-modal Federated Learning with Modality-expert LoRA for Medical VQA](https://aclanthology.org/2025.emnlp-main.422/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
15. [YESciEval: Robust LLM-as-a-Judge for Scientific Question Answering](https://aclanthology.org/2025.acl-long.675/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
16. [YaleNLP @ PerAnsSumm 2025: Multi-Perspective Integration via Mixture-of-Agents for Enhanced Healthcare QA Summarization](https://aclanthology.org/2025.cl4health-1.38/) *— 2025 · Proceedings of the Second Workshop on Patient-Oriented Language Processing (CL4Health)*
17. [Zero-shot OCR Accuracy of Low-Resourced Languages: A Comparative Analysis on Sinhala and Tamil](https://aclanthology.org/2025.ranlp-1.56/) *— 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era*
18. [heiDS at ArchEHR-QA 2025: From Fixed-k to Query-dependent-k for Retrieval Augmented Generation](https://aclanthology.org/2025.bionlp-share.6/) *— 2025 · Proceedings of the 24th Workshop on Biomedical Language Processing (Shared Tasks)*
19. [iMOVE : Instance-Motion-Aware Video Understanding](https://aclanthology.org/2025.findings-acl.1228/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
20. [Évaluation de la Robustesse des LLM : Proposition d”un Cadre Méthodologique et Développement d”un Benchmark](https://aclanthology.org/2025.jeptalnrecital-evalllm.13/) *— 2025 · Actes de l'atelier Évaluation des modèles génératifs (LLM) et challenge 2025 (EvalLLM)*
21. [$LONG^2RAG$: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point Recall](https://aclanthology.org/2024.findings-emnlp.279/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
22. [***YesBut***: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models](https://aclanthology.org/2024.emnlp-main.937/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
23. [A Comparative Analysis of Conversational Large Language Models in Knowledge-Based Text Generation](https://aclanthology.org/2024.eacl-short.31/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)*
24. [A Comparative Multidimensional Analysis of Empathetic Systems](https://aclanthology.org/2024.eacl-long.11/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
25. [A Comprehensive Survey of Contamination Detection Methods in Large Language Models](https://arxiv.org/abs/2404.00699) *— 2024 · arXiv:2404.00699*
26. [A Critical Look at Meta-evaluating Summarisation Evaluation Metrics](https://aclanthology.org/2024.findings-emnlp.869/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
27. [A Multi-Aspect Framework for Counter Narrative Evaluation using Large Language Models](https://aclanthology.org/2024.naacl-short.14/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)*
28. [A Survey on Large Language Models for Code Generation](https://arxiv.org/abs/2406.00515) *— 2024 · arXiv:2406.00515*
29. [AI vs. Human: Effectiveness of LLMs in Simplifying Italian Administrative Documents](https://aclanthology.org/2024.clicit-1.91/) *— 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)*
30. [AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension](https://aclanthology.org/2024.acl-long.109/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
31. [APPLS: Evaluating Evaluation Metrics for Plain Language Summarization](https://aclanthology.org/2024.emnlp-main.519/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
32. [AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation](https://aclanthology.org/2024.acl-long.55/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
33. [AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph](https://aclanthology.org/2024.findings-naacl.252/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
34. [AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction](https://arxiv.org/abs/2411.12593) *— 2024 · arXiv:2411.12593*
35. [Adopting Ensemble Learning for Cross-lingual Classification of Crisis-related Text On Social Media](https://aclanthology.org/2024.loresmt-1.16/) *— 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)*
36. [Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations](https://aclanthology.org/2024.acl-long.358/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
37. [Advancing Parameter Efficiency in Fine-tuning via Representation Editing](https://aclanthology.org/2024.acl-long.726/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
38. [AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages](https://aclanthology.org/2024.naacl-long.334/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
39. [AlignCap: Aligning Speech Emotion Captioning to Human Preferences](https://aclanthology.org/2024.emnlp-main.224/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
40. [Aligning Neural Machine Translation Models: Human Feedback in Training and Inference](https://aclanthology.org/2024.eamt-1.22/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
41. [An Evaluation of English to Spanish Medical Translation by Large Language Models](https://aclanthology.org/2024.amta-presentations.15/) *— 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 2: Presentations)*
42. [An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics](https://aclanthology.org/2024.findings-eacl.14/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
43. [An Information-Theoretic Approach to Analyze NLP Classification Tasks](https://aclanthology.org/2024.acl-long.32/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
44. [An Open-Source Data Contamination Report for Large Language Models](https://aclanthology.org/2024.findings-emnlp.30/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
45. [Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding](https://aclanthology.org/2024.acl-long.87/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
46. [Applicability of Large Language Models and Generative Models for Legal Case Judgement Summarization](https://arxiv.org/abs/2407.12848) *— 2024 · arXiv:2407.12848*
47. [Are Generative Language Models Multicultural? A Study on Hausa Culture and Emotions using ChatGPT](https://aclanthology.org/2024.c3nlp-1.8/) *— 2024 · Proceedings of the 2nd Workshop on Cross-Cultural Considerations in NLP*
48. [Are Small Language Models Ready to Compete with Large Language Models for Practical Applications?](https://arxiv.org/abs/2406.11402) *— 2024 · arXiv:2406.11402*
49. [Aspect-based Summaries from Online Product Reviews: A Comparative Study using various LLMs](https://aclanthology.org/2024.icon-1.65/) *— 2024 · Proceedings of the 21st International Conference on Natural Language Processing (ICON)*
50. [Assessing Image-Captioning Models: A Novel Framework Integrating Statistical Analysis and Metric Patterns](https://aclanthology.org/2024.ecnlp-1.9/) *— 2024 · Proceedings of the Seventh Workshop on e-Commerce and NLP @ LREC-COLING 2024*
51. [Assessing Large Language Models in Translating Coptic and Ancient Greek Ostraca](https://aclanthology.org/2024.nlp4dh-1.44/) *— 2024 · Proceedings of the 4th International Conference on Natural Language Processing for Digital Humanities*
52. [Assessing the Cross-linguistic Utility of Abstract Meaning Representation](https://md.research.elamur.ai/free/en/papers/wein-2024-assessing-cross-linguistic-utility-abstract/) *— our card · 2024 · Computational Linguistics*
53. [Assessing the Role of Imagery in Multimodal Machine Translation](https://aclanthology.org/2024.wmt-1.130/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
54. [Attributed Question Answering for Preconditions in the Dutch Law](https://aclanthology.org/2024.nllp-1.12/) *— 2024 · Proceedings of the Natural Legal Language Processing Workshop 2024*
55. [Authorship Obfuscation in Multilingual Machine-Generated Text Detection](https://aclanthology.org/2024.findings-emnlp.369/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
56. [AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning](https://aclanthology.org/2024.naacl-long.282/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
57. [Automated Multi-Language to English Machine Translation Using Generative Pre-Trained Transformers](https://arxiv.org/abs/2404.14680) *— 2024 · arXiv:2404.14680*
58. [Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4](https://arxiv.org/abs/2401.13810) *— 2024 · arXiv:2401.13810*
59. [Automatic Metrics in Natural Language Generation: A survey of Current Evaluation Practices](https://aclanthology.org/2024.inlg-main.44/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
60. [Automatically Generated Definitions and their utility for Modeling Word Meaning](https://aclanthology.org/2024.emnlp-main.776/) *— 2024 · EMNLP 2024 (Miami)*
61. [BanglaTLit: A Benchmark Dataset for Back-Transliteration of Romanized Bangla](https://aclanthology.org/2024.findings-emnlp.859/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
62. [Barriers to Effective Evaluation of Simultaneous Interpretation](https://aclanthology.org/2024.findings-eacl.15/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
63. [Be Helpful but Don't Talk too Much - Enhancing Helpfulness in Conversations through Relevance in Multi-Turn Emotional Support](https://aclanthology.org/2024.emnlp-main.118/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
64. [Benchmarking Low-Resource Machine Translation Systems](https://aclanthology.org/2024.loresmt-1.18/) *— 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)*
65. [Benchmarking the Simplification of Dutch Municipal Text](https://aclanthology.org/2024.lrec-main.199/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
66. [Beyond Reference: Evaluating High Quality Translations Better than Human References](https://aclanthology.org/2024.emnlp-main.294/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
67. [Bi-Directional Multi-Granularity Generation Framework for Knowledge Graph-to-Text with Large Language Model](https://aclanthology.org/2024.acl-short.14/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
68. [BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning](https://aclanthology.org/2024.findings-acl.71/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
69. [BoK: Introducing Bag-of-Keywords Loss for Interpretable Dialogue Response Generation](https://aclanthology.org/2024.sigdial-1.48/) *— 2024 · Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
70. [Bootstrapping Pre-trained Word Embedding Models for Sign Language Gloss Translation](https://aclanthology.org/2024.eamt-1.13/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
71. [CATER: Leveraging LLM to Pioneer a Multidimensional, Reference-Independent Paradigm in Translation Quality Evaluation](https://arxiv.org/abs/2412.11261) *— 2024 · arXiv:2412.11261*
72. [CBT-LLM: A Chinese Large Language Model for Cognitive Behavioral Therapy-based Mental Health Question Answering](https://aclanthology.org/2024.lrec-main.261/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
73. [CHIE: Generative MRC Evaluation for in-context QA with Correctness, Helpfulness, Irrelevancy, and Extraneousness Aspects](https://aclanthology.org/2024.genbench-1.10/) *— 2024 · Proceedings of the 2nd GenBench Workshop on Generalisation (Benchmarking) in NLP*
74. [Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation](https://aclanthology.org/2024.acl-long.813/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
75. [Can We Learn Question, Answer, and Distractors All from an Image? A New Task for Multiple-choice Visual Question Answering](https://aclanthology.org/2024.lrec-main.254/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
76. [Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders](https://md.research.elamur.ai/free/en/papers/zhang-2024-can-your-model-tell-negation/) *— our card · 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
77. [Can visual language models resolve textual ambiguity with visual cues? Let visual puns tell you!](https://aclanthology.org/2024.emnlp-main.144/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
78. [CapEEN: Image Captioning with Early Exits and Knowledge Distillation](https://aclanthology.org/2024.findings-emnlp.376/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
79. [Causal and Temporal Inference in Visual Question Generation by Utilizing Pre-trained Models](https://aclanthology.org/2024.alvr-1.12/) *— 2024 · Proceedings of the 3rd Workshop on Advances in Language and Vision Research (ALVR)*
80. [Challenging Large Language Models with New Tasks: A Study on their Adaptability and Robustness](https://aclanthology.org/2024.findings-acl.485/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
81. [ChartCheck: Explainable Fact-Checking over Real-World Chart Images](https://aclanthology.org/2024.findings-acl.828/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
82. [CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation](https://aclanthology.org/2024.acl-long.301/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
83. [Combining Multiple Metrics for Evaluating Retrieval-Augmented Conversations](https://aclanthology.org/2024.hcinlp-1.4/) *— 2024 · Proceedings of the Third Workshop on Bridging Human–Computer Interaction and Natural Language Processing*
84. [CommVQA: Situating Visual Question Answering in Communicative Contexts](https://aclanthology.org/2024.emnlp-main.741/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
85. [Comparative Quality Assessment of Human and Machine Translation with Best-Worst Scaling](https://aclanthology.org/2024.eamt-1.42/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
86. [Computational Meme Understanding: A Survey](https://aclanthology.org/2024.emnlp-main.1184/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
87. [Context-aware Difference Distilling for Multi-change Captioning](https://aclanthology.org/2024.acl-long.430/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
88. [Context-aware Visual Storytelling with Visual Prefix Tuning and Contrastive Learning](https://aclanthology.org/2024.inlg-main.32/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
89. [Contextualized Graph Representations for Generating Counter-Narratives against Hate Speech](https://aclanthology.org/2024.findings-emnlp.450/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
90. [Continual Learning of Large Language Models: A Comprehensive Survey](https://arxiv.org/abs/2404.16789) *— 2024 · arXiv:2404.16789*
91. [Convergences and Divergences between Automatic Assessment and Human Evaluation: Insights from Comparing ChatGPT-Generated Translation and Neural Machine Translation](https://arxiv.org/abs/2401.05176) *— 2024 · arXiv:2401.05176*
92. [Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages](https://aclanthology.org/2024.emnlp-main.186/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
93. [Cross-lingual paraphrase identification](https://arxiv.org/abs/2406.15066) *— 2024 · arXiv:2406.15066*
94. [CrowdCounter: A benchmark type-specific multi-target counterspeech dataset](https://aclanthology.org/2024.conll-1.37/) *— 2024 · Proceedings of the 28th Conference on Computational Natural Language Learning*
95. [DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding](https://aclanthology.org/2024.lrec-main.395/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
96. [DCU-NLG-Small at the GEM”24 Data-to-Text Task: Rule-based generation and post-processing with T5-Base](https://aclanthology.org/2024.inlg-genchal.9/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference: Generation Challenges*
97. [DIALIGHT: Lightweight Multilingual Development and Evaluation of Task-Oriented Dialogue Systems with Large Language Models](https://aclanthology.org/2024.naacl-demo.4/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: System Demonstrations)*
98. [DORY: Deliberative Prompt Recovery for LLM](https://aclanthology.org/2024.findings-acl.631/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
99. [Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models](https://aclanthology.org/2024.emnlp-main.229/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
100. [Defining and Detecting Vulnerability in Human Evaluation Guidelines: A Preliminary Study Towards Reliable NLG Evaluation](https://aclanthology.org/2024.naacl-long.441/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*

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