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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.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](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** · [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. [Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering](https://aclanthology.org/2023.emnlp-industry.29/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track*
2. [Evaluating Evaluation Metrics: A Framework for Analyzing NLG Evaluation Metrics using Measurement Theory](https://aclanthology.org/2023.emnlp-main.676/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
3. [Evaluating Factual Consistency of Texts with Semantic Role Labeling](https://aclanthology.org/2023.starsem-1.9/) *— 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)*
4. [Evaluating Generative Models for Graph-to-Text Generation](https://aclanthology.org/2023.ranlp-1.133/) *— 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing*
5. [Evaluating Large Language Models for Document-grounded Response Generation in Information-Seeking Dialogues](https://aclanthology.org/2023.tllm-1.5/) *— 2023 · Proceedings of the 1st Workshop on Taming Large Language Models: Controllability in the era of Interactive Assistants*
6. [Evaluating Large Language Models' Understanding of Financial Terminology via Definition Modeling](https://aclanthology.org/2023.ijcnlp-srw.12/) *— 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: Student Research Workshop*
7. [Evaluating Open-Domain Dialogues in Latent Space with Next Sentence Prediction and Mutual Information](https://aclanthology.org/2023.acl-long.33/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
8. [Evaluating pragmatic abilities of image captioners on A3DS](https://aclanthology.org/2023.acl-short.110/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
9. [Evaluation of Question Generation Needs More References](https://aclanthology.org/2023.findings-acl.396/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
10. [Execution-Based Evaluation for Open-Domain Code Generation](https://aclanthology.org/2023.findings-emnlp.89/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
11. [Explicit Syntactic Guidance for Neural Text Generation](https://aclanthology.org/2023.acl-long.788/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
12. [Exploring Context-Aware Evaluation Metrics for Machine Translation](https://aclanthology.org/2023.findings-emnlp.1021/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
13. [Exploring and Verbalizing Academic Ideas by Concept Co-occurrence](https://aclanthology.org/2023.acl-long.727/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
14. [FACTIFY3M: A benchmark for multimodal fact verification with explainability through 5W Question-Answering](https://aclanthology.org/2023.emnlp-main.945/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
15. [FactSpotter: Evaluating the Factual Faithfulness of Graph-to-Text Generation](https://aclanthology.org/2023.findings-emnlp.672/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
16. [Faithful Low-Resource Data-to-Text Generation through Cycle Training](https://aclanthology.org/2023.acl-long.160/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
17. [Filtering Matters: Experiments in Filtering Training Sets for Machine Translation](https://aclanthology.org/2023.nodalida-1.58/) *— 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)*
18. [FinAraT5: A text to text model for financial Arabic text understanding and generation](https://aclanthology.org/2023.ldk-1.25/) *— 2023 · Proceedings of the 4th Conference on Language, Data and Knowledge*
19. [Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding](https://aclanthology.org/2023.findings-acl.262/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
20. [From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery](https://arxiv.org/abs/2309.05203) *— 2023 · arXiv:2309.05203*
21. [From Chaos to Clarity: Claim Normalization to Empower Fact-Checking](https://aclanthology.org/2023.findings-emnlp.439/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
22. [G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment](https://aclanthology.org/2023.emnlp-main.153/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
23. [GROOViST: A Metric for Grounding Objects in Visual Storytelling](https://aclanthology.org/2023.emnlp-main.202/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
24. [GUMSum: Multi-Genre Data and Evaluation for English Abstractive Summarization](https://aclanthology.org/2023.findings-acl.593/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
25. [Gender Biases in Automatic Evaluation Metrics for Image Captioning](https://aclanthology.org/2023.emnlp-main.520/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
26. [Generating Deep Questions with Commonsense Reasoning Ability from the Text by Disentangled Adversarial Inference](https://aclanthology.org/2023.findings-acl.30/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
27. [Hallucination Mitigation in Natural Language Generation from Large-Scale Open-Domain Knowledge Graphs](https://aclanthology.org/2023.emnlp-main.770/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
28. [Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the GeNTE Corpus](https://aclanthology.org/2023.emnlp-main.873/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
29. [Hierarchical Catalogue Generation for Literature Review: A Benchmark](https://aclanthology.org/2023.findings-emnlp.453/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
30. [How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization?](https://arxiv.org/abs/2306.01248) *— 2023 · arXiv:2306.01248*
31. [How do decoding algorithms distribute information in dialogue responses?](https://aclanthology.org/2023.findings-eacl.70/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
32. [INA: An Integrative Approach for Enhancing Negotiation Strategies with Reward-Based Dialogue Agent](https://aclanthology.org/2023.findings-emnlp.166/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
33. [INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback](https://aclanthology.org/2023.emnlp-main.365/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
34. [INVITE: a Testbed of Automatically Generated Invalid Questions to Evaluate Large Language Models for Hallucinations](https://aclanthology.org/2023.findings-emnlp.360/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
35. [Improving Graph-to-Text Generation Using Cycle Training](https://aclanthology.org/2023.ldk-1.24/) *— 2023 · Proceedings of the 4th Conference on Language, Data and Knowledge*
36. [Improving Metrics for Speech Translation](https://aclanthology.org/2023.swisstext-1.3/) *— 2023 · Proceedings of the 8th edition of the Swiss Text Analytics Conference*
37. [Improving Polish to English Neural Machine Translation with Transfer Learning: Effects of Data Volume and Language Similarity](https://aclanthology.org/2023.multi3generation-1.6/) *— 2023 · Proceedings of the 1st International Workshop on Multilingual, Multimodal and Multitask Language Generation*
38. [Improving Question Generation with Multi-level Content Planning](https://aclanthology.org/2023.findings-emnlp.57/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
39. [In-sample Curriculum Learning by Sequence Completion for Natural Language Generation](https://aclanthology.org/2023.acl-long.666/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
40. [Incorporating Distributions of Discourse Structure for Long Document Abstractive Summarization](https://aclanthology.org/2023.acl-long.306/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
41. [Incorporating Task-Specific Concept Knowledge into Script Learning](https://aclanthology.org/2023.eacl-main.220/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
42. [InfoMetIC: An Informative Metric for Reference-free Image Caption Evaluation](https://aclanthology.org/2023.acl-long.178/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
43. [Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models](https://arxiv.org/abs/2309.17050) *— 2023 · arXiv:2309.17050*
44. [Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters](https://aclanthology.org/2023.eacl-main.51/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
45. [Is ChatGPT a Good Multi-Party Conversation Solver?](https://aclanthology.org/2023.findings-emnlp.326/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
46. [KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection](https://aclanthology.org/2023.emnlp-main.867/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
47. [KG-BERTScore: Incorporating Knowledge Graph into BERTScore for Reference-Free Machine Translation Evaluation](https://arxiv.org/abs/2301.12699) *— 2023 · arXiv:2301.12699*
48. [KGVL-BART: Knowledge Graph Augmented Visual Language BART for Radiology Report Generation](https://aclanthology.org/2023.eacl-main.246/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
49. [KILM: Knowledge Injection into Encoder-Decoder Language Models](https://aclanthology.org/2023.acl-long.275/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
50. [LLMs – the Good, the Bad or the Indispensable?: A Use Case on Legal Statute Prediction and Legal Judgment Prediction on Indian Court Cases](https://aclanthology.org/2023.findings-emnlp.831/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
51. [LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding](https://arxiv.org/abs/2306.17107) *— 2023 · arXiv:2306.17107*
52. [Large Language Models are Diverse Role-Players for Summarization Evaluation](https://arxiv.org/abs/2303.15078) *— 2023 · arXiv:2303.15078*
53. [Large Language Models for Automated Open-domain Scientific Hypotheses Discovery](https://arxiv.org/abs/2309.02726) *— 2023 · arXiv:2309.02726*
54. [Learning Answer Generation using Supervision from Automatic Question Answering Evaluators](https://aclanthology.org/2023.acl-long.467/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
55. [Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables](https://aclanthology.org/2023.findings-ijcnlp.1/) *— 2023 · Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)*
56. [Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation](https://aclanthology.org/2023.eacl-main.75/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
57. [Lost in Translation, Found in Spans: Identifying Claims in Multilingual Social Media](https://aclanthology.org/2023.emnlp-main.236/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
58. [MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization](https://aclanthology.org/2023.ijcnlp-main.4/) *— 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
59. [MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation](https://aclanthology.org/2023.findings-acl.704/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
60. [Measuring the Effect of Influential Messages on Varying Personas](https://aclanthology.org/2023.acl-short.48/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
61. [MeetingBank: A Benchmark Dataset for Meeting Summarization](https://aclanthology.org/2023.acl-long.906/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
62. [Mind the Labels: Describing Relations in Knowledge Graphs With Pretrained Models](https://aclanthology.org/2023.eacl-main.176/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
63. [Modeling Empathic Similarity in Personal Narratives](https://aclanthology.org/2023.emnlp-main.383/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
64. [Models See Hallucinations: Evaluating the Factuality in Video Captioning](https://aclanthology.org/2023.emnlp-main.723/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
65. [Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference](https://aclanthology.org/2023.findings-acl.664/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
66. [Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models](https://arxiv.org/abs/2306.08018) *— 2023 · arXiv:2306.08018*
67. [MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter](https://aclanthology.org/2023.emnlp-main.966/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
68. [MolXPT: Wrapping Molecules with Text for Generative Pre-training](https://aclanthology.org/2023.acl-short.138/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
69. [Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation](https://aclanthology.org/2023.acl-long.635/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
70. [MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning](https://aclanthology.org/2023.acl-long.664/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
71. [Multidimensional Evaluation for Text Style Transfer Using ChatGPT](https://arxiv.org/abs/2304.13462) *— 2023 · arXiv:2304.13462*
72. [Nougat: Neural Optical Understanding for Academic Documents](https://arxiv.org/abs/2308.13418) *— 2023 · arXiv:2308.13418*
73. [ORGAN: Observation-Guided Radiology Report Generation via Tree Reasoning](https://aclanthology.org/2023.acl-long.451/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
74. [On Text Style Transfer via Style-Aware Masked Language Models](https://aclanthology.org/2023.inlg-main.25/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference*
75. [On the application of Large Language Models for language teaching and assessment technology](https://arxiv.org/abs/2307.08393) *— 2023 · arXiv:2307.08393*
76. [One Law, Many Languages: Benchmarking Multilingual Legal Reasoning for Judicial Support](https://arxiv.org/abs/2306.09237) *— 2023 · arXiv:2306.09237*
77. [Open-ended Long Text Generation via Masked Language Modeling](https://aclanthology.org/2023.acl-long.13/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
78. [PAL to Lend a Helping Hand: Towards Building an Emotion Adaptive Polite and Empathetic Counseling Conversational Agent](https://aclanthology.org/2023.acl-long.685/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
79. [PE effort and neural-based automatic MT metrics: do they correlate?](https://aclanthology.org/2023.eamt-1.31/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
80. [PR-MCS: Perturbation Robust Metric for MultiLingual Image Captioning](https://aclanthology.org/2023.findings-emnlp.819/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
81. [PeaCoK: Persona Commonsense Knowledge for Consistent and Engaging Narratives](https://aclanthology.org/2023.acl-long.362/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
82. [Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training](https://aclanthology.org/2023.eacl-main.156/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
83. [Poor Man''s Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference](https://aclanthology.org/2023.eacl-main.95/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
84. [Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation](https://aclanthology.org/2023.emnlp-main.263/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
85. [QTSumm: Query-Focused Summarization over Tabular Data](https://aclanthology.org/2023.emnlp-main.74/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
86. [RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue](https://aclanthology.org/2023.acl-long.719/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
87. [RECAP: Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generation](https://aclanthology.org/2023.acl-long.468/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
88. [RECAP: Towards Precise Radiology Report Generation via Dynamic Disease Progression Reasoning](https://aclanthology.org/2023.findings-emnlp.140/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
89. [RPTCS: A Reinforced Persona-aware Topic-guiding Conversational System](https://aclanthology.org/2023.eacl-main.253/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
90. [ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness](https://aclanthology.org/2023.emnlp-main.622/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
91. [Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense Norms](https://aclanthology.org/2023.emnlp-main.57/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
92. [Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific Rewards](https://aclanthology.org/2023.findings-emnlp.16/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
93. [Reference-Free Summarization Evaluation with Large Language Models](https://aclanthology.org/2023.eval4nlp-1.16/) *— 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems*
94. [Replace and Report: NLP Assisted Radiology Report Generation](https://aclanthology.org/2023.findings-acl.683/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
95. [Retrieval Augmented Generation with Rich Answer Encoding](https://aclanthology.org/2023.ijcnlp-main.65/) *— 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
96. [Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards](https://arxiv.org/abs/2306.04488) *— 2023 · arXiv:2306.04488*
97. [Scaling Back-Translation with Domain Text Generation for Sign Language Gloss Translation](https://aclanthology.org/2023.eacl-main.34/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
98. [Scoring Coreference Chains with Split-Antecedent Anaphors](https://md.mova.elamur.ai/free/en/docs/papers/paun-2023-scoring-coreference-chains-split-antecedent/) *— our card · 2023*
99. [Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation](https://aclanthology.org/2023.acl-long.793/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
100. [SemEval-2023 Task 5: Clickbait Spoiling](https://aclanthology.org/2023.semeval-1.312/) *— 2023 · Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)*

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