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# Who cites «METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments» · page 4

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](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banerjee-2005-meteor-automatic-metric-mt-evaluation-3/) · **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. [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)*
2. [Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation](https://aclanthology.org/2024.eacl-long.86/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [Divide-Conquer-Reasoning for Consistency Evaluation and Automatic Improvement of Large Language Models](https://aclanthology.org/2024.emnlp-industry.25/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track*
4. [DoG-Instruct: Towards Premium Instruction-Tuning Data via Text-Grounded Instruction Wrapping](https://aclanthology.org/2024.naacl-long.230/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
5. [Dunamu-ml's Submissions on AVERITEC Shared Task](https://aclanthology.org/2024.fever-1.7/) *— 2024 · Proceedings of the Seventh Fact Extraction and VERification Workshop (FEVER)*
6. [Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification](https://arxiv.org/abs/2412.00876) *— 2024 · arXiv:2412.00876*
7. [ECoh: Turn-level Coherence Evaluation for Multilingual Dialogues](https://aclanthology.org/2024.sigdial-1.44/) *— 2024 · Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
8. [EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction](https://arxiv.org/abs/2407.00924) *— 2024 · arXiv:2407.00924*
9. [Effective Distillation of Table-based Reasoning Ability from LLMs](https://aclanthology.org/2024.lrec-main.492/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
10. [Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons](https://aclanthology.org/2024.emnlp-main.389/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
11. [Enhancing Cross Text-Molecule Learning by Self-Augmentation](https://aclanthology.org/2024.findings-acl.569/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
12. [Evaluating WMT 2024 Metrics Shared Task Submissions on AfriMTE (the African Challenge Set)](https://aclanthology.org/2024.wmt-1.36/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
13. [Evaluation of Machine Translation Based on Semantic Dependencies and Keywords](https://arxiv.org/abs/2404.14443) *— 2024 · arXiv:2404.14443*
14. [Explainable Multi-hop Question Generation: An End-to-End Approach without Intermediate Question Labeling](https://aclanthology.org/2024.lrec-main.599/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
15. [Exploring Defeasibility in Causal Reasoning](https://aclanthology.org/2024.findings-acl.384/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
16. [Exploring the Correlation between Human and Machine Evaluation of Simultaneous Speech Translation](https://aclanthology.org/2024.eamt-1.28/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
17. [FLEUR: An Explainable Reference-Free Evaluation Metric for Image Captioning Using a Large Multimodal Model](https://aclanthology.org/2024.acl-long.205/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
18. [Fair Abstractive Summarization of Diverse Perspectives](https://aclanthology.org/2024.naacl-long.187/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
19. [FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models](https://aclanthology.org/2024.findings-emnlp.290/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
20. [Findings of WMT 2024 Shared Task on Low-Resource Indic Languages Translation](https://aclanthology.org/2024.wmt-1.54/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
21. [FineSurE: Fine-grained Summarization Evaluation using LLMs](https://aclanthology.org/2024.acl-long.51/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
22. [FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models](https://aclanthology.org/2024.emnlp-demo.1/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
23. [From Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation](https://arxiv.org/abs/2403.14118) *— 2024 · arXiv:2403.14118 · 2024 International Joint Conference on Neural Networks (IJCNN)*
24. [From Sights to Insights: Towards Summarization of Multimodal Clinical Documents](https://aclanthology.org/2024.acl-long.708/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
25. [GEE! Grammar Error Explanation with Large Language Models](https://aclanthology.org/2024.findings-naacl.49/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
26. [Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding](https://aclanthology.org/2024.findings-acl.503/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
27. [Generation and Evaluation of English Grammar Multiple-Choice Cloze Exercises](https://md.mova.elamur.ai/free/en/docs/papers/donati-2024-generation-evaluation-english-grammar-multiple/) *— our card · 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)*
28. [German Text Simplification: Finetuning Large Language Models with Semi-Synthetic Data](https://aclanthology.org/2024.ltedi-1.7/) *— 2024 · Proceedings of the Fourth Workshop on Language Technology for Equality, Diversity, Inclusion*
29. [Google Translate Error Analysis for Mental Healthcare Information: Evaluating Accuracy, Comprehensibility, and Implications for Multilingual Healthcare Communication](https://arxiv.org/abs/2402.04023) *— 2024 · arXiv:2402.04023*
30. [Guided Profile Generation Improves Personalization with Large Language Models](https://aclanthology.org/2024.findings-emnlp.231/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
31. [GuyLingo: The Republic of Guyana Creole Corpora](https://aclanthology.org/2024.naacl-short.70/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)*
32. [H-LegalKI: A Hierarchical Legal Knowledge Integration Framework for Legal Community Question Answering](https://aclanthology.org/2024.findings-emnlp.856/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
33. [HOTVCOM: Generating Buzzworthy Comments for Videos](https://aclanthology.org/2024.findings-acl.130/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
34. [Hallucination Detection in LLM-enriched Product Listings](https://aclanthology.org/2024.ecnlp-1.4/) *— 2024 · Proceedings of the Seventh Workshop on e-Commerce and NLP @ LREC-COLING 2024*
35. [Hallucination of Multimodal Large Language Models: A Survey](https://arxiv.org/abs/2404.18930) *— 2024 · arXiv:2404.18930*
36. [HerO at AVeriTeC: The Herd of Open Large Language Models for Verifying Real-World Claims](https://aclanthology.org/2024.fever-1.15/) *— 2024 · Proceedings of the Seventh Fact Extraction and VERification Workshop (FEVER)*
37. [IFCap: Image-like Retrieval and Frequency-based Entity Filtering for Zero-shot Captioning](https://aclanthology.org/2024.emnlp-main.1153/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
38. [IndiFoodVQA: Advancing Visual Question Answering and Reasoning with a Knowledge-Infused Synthetic Data Generation Pipeline](https://aclanthology.org/2024.findings-eacl.78/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
39. [Intent-conditioned and Non-toxic Counterspeech Generation using Multi-Task Instruction Tuning with RLAIF](https://aclanthology.org/2024.naacl-long.374/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
40. [Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment](https://aclanthology.org/2024.emnlp-main.427/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
41. [Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis](https://aclanthology.org/2024.wmt-1.127/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
42. [Is Reference Necessary in the Evaluation of NLG Systems? When and Where?](https://aclanthology.org/2024.naacl-long.474/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
43. [Is Summary Useful or Not? An Extrinsic Human Evaluation of Text Summaries on Downstream Tasks](https://aclanthology.org/2024.lrec-main.821/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
44. [JAMDEC: Unsupervised Authorship Obfuscation using Constrained Decoding over Small Language Models](https://aclanthology.org/2024.naacl-long.87/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
45. [KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models](https://aclanthology.org/2024.acl-long.325/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
46. [Kalahi: A handcrafted, grassroots cultural LLM evaluation suite for Filipino](https://aclanthology.org/2024.paclic-1.49/) *— 2024 · Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation*
47. [KnowTuning: Knowledge-aware Fine-tuning for Large Language Models](https://aclanthology.org/2024.emnlp-main.805/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
48. [Knowledge-Centric Templatic Views of Documents](https://aclanthology.org/2024.findings-emnlp.906/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
49. [Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering](https://aclanthology.org/2024.findings-acl.52/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
50. [LAMBDA: Large Language Model-Based Data Augmentation for Multi-Modal Machine Translation](https://aclanthology.org/2024.findings-emnlp.893/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
51. [LEGAL-UQA: A Low-Resource Urdu-English Dataset for Legal Question Answering](https://arxiv.org/abs/2410.13013) *— 2024 · arXiv:2410.13013*
52. [LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models](https://aclanthology.org/2024.eacl-long.8/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
53. [LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History](https://aclanthology.org/2024.emnlp-main.811/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
54. [LaMP: When Large Language Models Meet Personalization](https://aclanthology.org/2024.acl-long.399/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
55. [Language Models as Inductive Reasoners](https://aclanthology.org/2024.eacl-long.13/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
56. [Large Language Models are Inconsistent and Biased Evaluators](https://arxiv.org/abs/2405.01724) *— 2024 · arXiv:2405.01724*
57. [Legal Judgment Reimagined: PredEx and the Rise of Intelligent AI Interpretation in Indian Courts](https://aclanthology.org/2024.findings-acl.255/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
58. [Let''s Go Real Talk: Spoken Dialogue Model for Face-to-Face Conversation](https://aclanthology.org/2024.acl-long.860/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
59. [Leveraging LLM Reasoning Enhances Personalized Recommender Systems](https://aclanthology.org/2024.findings-acl.780/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
60. [Leveraging Plug-and-Play Models for Rhetorical Structure Control in Text Generation](https://aclanthology.org/2024.inlg-main.40/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
61. [LongForm: Effective Instruction Tuning with Reverse Instructions](https://aclanthology.org/2024.findings-emnlp.414/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
62. [LooGLE: Can Long-Context Language Models Understand Long Contexts?](https://aclanthology.org/2024.acl-long.859/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
63. [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*
64. [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*
65. [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*
66. [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*
67. [MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding](https://arxiv.org/abs/2404.05726) *— 2024 · arXiv:2404.05726*
68. [MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark](https://arxiv.org/abs/2402.04788) *— 2024 · arXiv:2402.04788*
69. [MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding](https://arxiv.org/abs/2407.04903) *— 2024 · arXiv:2407.04903*
70. [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*
71. [MUG: Interactive Multimodal Grounding on User Interfaces](https://aclanthology.org/2024.findings-eacl.17/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
72. [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)*
73. [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*
74. [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*
75. [MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences](https://arxiv.org/abs/2410.02381) *— 2024 · arXiv:2410.02381*
76. [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)*
77. [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*
78. [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*
79. [Multi-Review Fusion-in-Context](https://aclanthology.org/2024.findings-naacl.189/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
80. [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*
81. [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*
82. [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)*
83. [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*
84. [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*
85. [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*
86. [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)*
87. [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*
88. [OctoPack: Instruction Tuning Code Large Language Models](https://arxiv.org/abs/2308.07124) *— 2024 · arXiv:2308.07124*
89. [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*
90. [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)*
91. [On the Efficacy of Eviction Policy for Key-Value Constrained Generative Language Model Inference](https://arxiv.org/abs/2402.06262) *— 2024 · arXiv:2402.06262*
92. [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)*
93. [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*
94. [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*
95. [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*
96. [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*
97. [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*
98. [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*
99. [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*
100. [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)*

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