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# Who cites «METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments» · page 3

2025 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banerjee-2005-meteor-automatic-metric-mt-evaluation/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banerjee-2005-meteor-automatic-metric-mt-evaluation-2/) · **3** · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banerjee-2005-meteor-automatic-metric-mt-evaluation-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banerjee-2005-meteor-automatic-metric-mt-evaluation-5/) · [6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banerjee-2005-meteor-automatic-metric-mt-evaluation-6/) · [7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banerjee-2005-meteor-automatic-metric-mt-evaluation-7/) · [8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banerjee-2005-meteor-automatic-metric-mt-evaluation-8/) · [9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banerjee-2005-meteor-automatic-metric-mt-evaluation-9/) · [10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banerjee-2005-meteor-automatic-metric-mt-evaluation-10/) · [11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banerjee-2005-meteor-automatic-metric-mt-evaluation-11/) · [12](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banerjee-2005-meteor-automatic-metric-mt-evaluation-12/) · [13](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banerjee-2005-meteor-automatic-metric-mt-evaluation-13/) · [14](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banerjee-2005-meteor-automatic-metric-mt-evaluation-14/) · [15](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banerjee-2005-meteor-automatic-metric-mt-evaluation-15/) · [16](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banerjee-2005-meteor-automatic-metric-mt-evaluation-16/) · [17](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banerjee-2005-meteor-automatic-metric-mt-evaluation-17/) · [18](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banerjee-2005-meteor-automatic-metric-mt-evaluation-18/) · [19](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banerjee-2005-meteor-automatic-metric-mt-evaluation-19/) · [20](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banerjee-2005-meteor-automatic-metric-mt-evaluation-20/) · [21](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banerjee-2005-meteor-automatic-metric-mt-evaluation-21/)

1. [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*
2. [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*
3. [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*
4. [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*
5. [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*
6. [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*
7. [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*
8. [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*
9. [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)*
10. [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*
11. [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*
12. [Steering Large Language Models with Register Analysis for Arbitrary Style Transfer](https://arxiv.org/abs/2505.00679) *— 2025 · arXiv:2505.00679*
13. [StreamMind: Unlocking Full Frame Rate Streaming Video Dialogue through Event-Gated Cognition](https://arxiv.org/abs/2503.06220) *— 2025 · arXiv:2503.06220*
14. [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*
15. [Summarisation of German Judgments in conjunction with a Class-based Evaluation](https://arxiv.org/abs/2505.05947) *— 2025 · arXiv:2505.05947*
16. [Survey of Abstract Meaning Representation: Then, Now, Future](https://md.mova.elamur.ai/free/en/docs/papers/mansouri-2025-survey-abstract-meaning-representation-then/) *— our card · 2025 · arXiv:2505.03229*
17. [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)*
18. [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*
19. [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*
20. [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*
21. [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*
22. [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*
23. [TermGPT: Multi-Level Contrastive Fine-Tuning for Terminology Adaptation in Legal and Financial Domain](https://arxiv.org/abs/2511.09854) *— 2025 · arXiv:2511.09854*
24. [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*
25. [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)*
26. [The Arabic AI Fingerprint: Stylometric Analysis and Detection of Large Language Models Text](https://arxiv.org/abs/2505.23276) *— 2025 · arXiv:2505.23276*
27. [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*
28. [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*
29. [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*
30. [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)*
31. [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*
32. [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)*
33. [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*
34. [Towards Zero-Shot Multimodal Machine Translation](https://aclanthology.org/2025.findings-naacl.45/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
35. [Towards the Machine Translation of Scientific Neologisms](https://aclanthology.org/2025.coling-main.63/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
36. [Trainable Reference-Based Evaluation Metric for Identifying Quality of English-Gujarati Machine Translation System](https://arxiv.org/abs/2510.05113) *— 2025 · arXiv:2510.05113*
37. [TransBench: Benchmarking Machine Translation for Industrial-Scale Applications](https://arxiv.org/abs/2505.14244) *— 2025 · arXiv:2505.14244*
38. [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*
39. [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*
40. [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)*
41. [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)*
42. [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*
43. [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)*
44. [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*
45. [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)*
46. [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)*
47. [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)*
48. [A Comprehensive Survey of Contamination Detection Methods in Large Language Models](https://arxiv.org/abs/2404.00699) *— 2024 · arXiv:2404.00699*
49. [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*
50. [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)*
51. [A Survey on Large Language Models for Code Generation](https://arxiv.org/abs/2406.00515) *— 2024 · arXiv:2406.00515*
52. [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)*
53. [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*
54. [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)*
55. [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*
56. [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)*
57. [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)*
58. [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)*
59. [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)*
60. [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)*
61. [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*
62. [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)*
63. [Applicability of Large Language Models and Generative Models for Legal Case Judgement Summarization](https://arxiv.org/abs/2407.12848) *— 2024 · arXiv:2407.12848*
64. [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*
65. [Are Small Language Models Ready to Compete with Large Language Models for Practical Applications?](https://arxiv.org/abs/2406.11402) *— 2024 · arXiv:2406.11402*
66. [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*
67. [Assessing the Cross-linguistic Utility of Abstract Meaning Representation](https://md.mova.elamur.ai/free/en/docs/papers/wein-2024-assessing-cross-linguistic-utility-abstract/) *— our card · 2024 · Computational Linguistics*
68. [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*
69. [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*
70. [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*
71. [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)*
72. [Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4](https://arxiv.org/abs/2401.13810) *— 2024 · arXiv:2401.13810*
73. [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*
74. [Automatically Generated Definitions and their utility for Modeling Word Meaning](https://aclanthology.org/2024.emnlp-main.776/) *— 2024 · EMNLP 2024 (Miami)*
75. [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*
76. [Barriers to Effective Evaluation of Simultaneous Interpretation](https://aclanthology.org/2024.findings-eacl.15/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
77. [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*
78. [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)*
79. [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)*
80. [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*
81. [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)*
82. [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*
83. [CATER: Leveraging LLM to Pioneer a Multidimensional, Reference-Independent Paradigm in Translation Quality Evaluation](https://arxiv.org/abs/2412.11261) *— 2024 · arXiv:2412.11261*
84. [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)*
85. [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)*
86. [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)*
87. [Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders](https://md.mova.elamur.ai/free/en/docs/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)*
88. [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*
89. [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*
90. [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)*
91. [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)*
92. [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*
93. [Continual Learning of Large Language Models: A Comprehensive Survey](https://arxiv.org/abs/2404.16789) *— 2024 · arXiv:2404.16789*
94. [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*
95. [Cross-lingual paraphrase identification](https://arxiv.org/abs/2406.15066) *— 2024 · arXiv:2406.15066*
96. [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*
97. [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)*
98. [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*
99. [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)*
100. [DORY: Deliberative Prompt Recovery for LLM](https://aclanthology.org/2024.findings-acl.631/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*

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