---
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/7/"
---
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# Who cites «METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments» · page 7

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/) · … · [6](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/6/) · **7** · [8](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/8/) · … · [21](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/21/)

1. [Demonstration Selection Strategies for Numerical Time Series Data-to-Text](https://aclanthology.org/2024.findings-emnlp.435/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
2. [Detecting Errors through Ensembling Prompts (DEEP): An End-to-End LLM Framework for Detecting Factual Errors](https://aclanthology.org/2024.emnlp-main.728/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
3. [DiffuCOMET: Contextual Commonsense Knowledge Diffusion](https://aclanthology.org/2024.acl-long.264/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [Diffusion Glancing Transformer for Parallel Sequence-to-Sequence Learning](https://aclanthology.org/2024.naacl-long.271/) *— 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. [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)*
6. [Direct Metric Optimization for Image Captioning through Reward-Weighted Augmented Data Utilization](https://aclanthology.org/2024.acl-long.453/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
7. [Distantly Supervised Contrastive Learning for Low-Resource Scripting Language Summarization](https://aclanthology.org/2024.lrec-main.448/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
8. [Divide and Conquer Radiology Report Generation via Observation Level Fine-grained Pretraining and Prompt Tuning](https://aclanthology.org/2024.emnlp-main.433/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
9. [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*
10. [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)*
11. [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)*
12. [Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification](https://arxiv.org/abs/2412.00876) *— 2024 · arXiv:2412.00876*
13. [ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling](https://arxiv.org/abs/2412.14373) *— 2024 · arXiv:2412.14373*
14. [ECoK: Emotional Commonsense Knowledge Graph for Mining Emotional Gold](https://aclanthology.org/2024.findings-acl.480/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
15. [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*
16. [EHDChat: A Knowledge-Grounded, Empathy-Enhanced Language Model for Healthcare Interactions](https://aclanthology.org/2024.sicon-1.10/) *— 2024 · Proceedings of the Second Workshop on Social Influence in Conversations (SICon 2024)*
17. [EPFL-MAKE at “Discharge Me!”: An LLM System for Automatically Generating Discharge Summaries of Clinical Electronic Health Record](https://aclanthology.org/2024.bionlp-1.61/) *— 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing*
18. [EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction](https://arxiv.org/abs/2407.00924) *— 2024 · arXiv:2407.00924*
19. [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)*
20. [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*
21. [Empowering AAC Users: A Systematic Integration of Personal Narratives with Conversational AI](https://aclanthology.org/2024.customnlp4u-1.2/) *— 2024 · Proceedings of the 1st Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual (CustomNLP4U)*
22. [Enhanced BioT5+ for Molecule-Text Translation: A Three-Stage Approach with Data Distillation, Diverse Training, and Voting Ensemble](https://aclanthology.org/2024.langmol-1.6/) *— 2024 · Proceedings of the 1st Workshop on Language + Molecules (L+M 2024)*
23. [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*
24. [Enhancing Situation Awareness through Model-Based Explanation Generation](https://aclanthology.org/2024.practicald2t-1.2/) *— 2024 · Proceedings of the 2nd Workshop on Practical LLM-assisted Data-to-Text Generation*
25. [Enhancing adversarial robustness in Natural Language Inference using explanations](https://aclanthology.org/2024.blackboxnlp-1.7/) *— 2024 · Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP*
26. [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*
27. [Evaluation of Machine Translation Based on Semantic Dependencies and Keywords](https://arxiv.org/abs/2404.14443) *— 2024 · arXiv:2404.14443*
28. [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)*
29. [Exploring Defeasibility in Causal Reasoning](https://aclanthology.org/2024.findings-acl.384/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
30. [Exploring Union and Intersection of Visual Regions for Generating Questions, Answers, and Distractors](https://aclanthology.org/2024.emnlp-main.88/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
31. [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)*
32. [Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation](https://aclanthology.org/2024.findings-acl.236/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
33. [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)*
34. [FZI-WIM at AVeriTeC Shared Task: Real-World Fact-Checking with Question Answering](https://aclanthology.org/2024.fever-1.8/) *— 2024 · Proceedings of the Seventh Fact Extraction and VERification Workshop (FEVER)*
35. [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)*
36. [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*
37. [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*
38. [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)*
39. [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*
40. [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)*
41. [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)*
42. [From promise to practice: realizing high-performance decentralized training](https://arxiv.org/abs/2410.11998) *— 2024 · arXiv:2410.11998*
43. [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*
44. [GProofT: A Multi-dimension Multi-round Fact Checking Framework Based on Claim Fact Extraction](https://aclanthology.org/2024.fever-1.14/) *— 2024 · Proceedings of the Seventh Fact Extraction and VERification Workshop (FEVER)*
45. [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*
46. [Generating Faithful and Salient Text from Multimodal Data](https://aclanthology.org/2024.inlg-main.50/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
47. [Generating Signed Language Instructions in Large-Scale Dialogue Systems](https://aclanthology.org/2024.naacl-industry.13/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 6: Industry Track)*
48. [Generating Vehicular Icon Descriptions and Indications Using Large Vision-Language Models](https://aclanthology.org/2024.emnlp-industry.83/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track*
49. [Generation and Evaluation of English Grammar Multiple-Choice Cloze Exercises](https://md.research.elamur.ai/free/en/papers/donati-2024-generation-evaluation-english-grammar-multiple/) *— our card · 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)*
50. [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*
51. [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*
52. [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*
53. [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)*
54. [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*
55. [HELPD: Mitigating Hallucination of LVLMs by Hierarchical Feedback Learning with Vision-enhanced Penalty Decoding](https://aclanthology.org/2024.emnlp-main.105/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
56. [HOTVCOM: Generating Buzzworthy Comments for Videos](https://aclanthology.org/2024.findings-acl.130/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
57. [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*
58. [Hallucination of Multimodal Large Language Models: A Survey](https://arxiv.org/abs/2404.18930) *— 2024 · arXiv:2404.18930*
59. [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)*
60. [HierarchyNet: Learning to Summarize Source Code with Heterogeneous Representations](https://aclanthology.org/2024.findings-eacl.156/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
61. [Hope `The Paragraph Guy” explains the rest : Introducing MeSum, the Meme Summarizer](https://aclanthology.org/2024.findings-emnlp.389/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
62. [How to Engage your Readers? Generating Guiding Questions to Promote Active Reading](https://aclanthology.org/2024.acl-long.632/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
63. [Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction](https://aclanthology.org/2024.emnlp-industry.11/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track*
64. [ICC : Quantifying Image Caption Concreteness for Multimodal Dataset Curation](https://aclanthology.org/2024.findings-acl.657/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
65. [ICON: Improving Inter-Report Consistency in Radiology Report Generation via Lesion-aware Mixup Augmentation](https://aclanthology.org/2024.findings-emnlp.528/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
66. [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*
67. [IT-Tuning : Parameter Efficient Information Token Tuning for Language Model](https://aclanthology.org/2024.repl4nlp-1.6/) *— 2024 · Proceedings of the 9th Workshop on Representation Learning for NLP (RepL4NLP-2024)*
68. [IgnitionInnovators at “Discharge Me!”: Chain-of-Thought Instruction Finetuning Large Language Models for Discharge Summaries](https://aclanthology.org/2024.bionlp-1.65/) *— 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing*
69. [Improving Authorship Privacy: Adaptive Obfuscation with the Dynamic Selection of Techniques](https://aclanthology.org/2024.privatenlp-1.14/) *— 2024 · Proceedings of the Fifth Workshop on Privacy in Natural Language Processing*
70. [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*
71. [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)*
72. [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*
73. [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*
74. [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)*
75. [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)*
76. [Ixa-Med at Discharge Me! Retrieval-Assisted Generation for Streamlining Discharge Documentation](https://aclanthology.org/2024.bionlp-1.57/) *— 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing*
77. [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)*
78. [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)*
79. [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*
80. [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*
81. [Knowledge-Centric Templatic Views of Documents](https://aclanthology.org/2024.findings-emnlp.906/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
82. [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*
83. [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*
84. [LEGAL-UQA: A Low-Resource Urdu-English Dataset for Legal Question Answering](https://arxiv.org/abs/2410.13013) *— 2024 · arXiv:2410.13013*
85. [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)*
86. [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*
87. [LOCR: Location-Guided Transformer for Optical Character Recognition](https://aclanthology.org/2024.findings-emnlp.314/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
88. [LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation?](https://aclanthology.org/2024.naacl-long.373/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
89. [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)*
90. [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)*
91. [Large Language Models are Inconsistent and Biased Evaluators](https://arxiv.org/abs/2405.01724) *— 2024 · arXiv:2405.01724*
92. [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*
93. [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)*
94. [Leveraging Context-Aware Prompting for Commit Message Generation](https://aclanthology.org/2024.emnlp-main.749/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
95. [Leveraging LLM Reasoning Enhances Personalized Recommender Systems](https://aclanthology.org/2024.findings-acl.780/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
96. [Leveraging Large Language Models for Building Interpretable Rule-Based Data-to-Text Systems](https://aclanthology.org/2024.inlg-main.48/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
97. [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*
98. [Local and Global Contexts for Conversation](https://aclanthology.org/2024.findings-eacl.95/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
99. [LongForm: Effective Instruction Tuning with Reverse Instructions](https://aclanthology.org/2024.findings-emnlp.414/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
100. [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)*

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