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Who cites «ROUGE: A Package for Automatic Evaluation of Summaries»

5,641 papers of our library cite it (of the 140,884 whose bibliographies we read) · 300 with a page here, the most cited first · page 2 of 3 · 101–200 · ← the paper

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  1. Learning Neural Templates for Text GenerationSam Wiseman, Stuart Shieber, Alexander Rush2018 · 279 citations
  2. TRUE: Re-evaluating Factual Consistency EvaluationOr Honovich, Roee Aharoni, Jonathan Herzig, et al.2022 · 276 citations
  3. WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive SummarizationFaisal Ladhak, Esin Durmus, Claire Cardie, et al.2020 · 272 citations
  4. Prometheus: Inducing Fine-grained Evaluation Capability in Language ModelsSeungone Kim, Jamin Shin, Yejin Cho, et al.2023 · 267 citations
  5. Handling Divergent Reference Texts when Evaluating Table-to-Text GenerationBhuwan Dhingra, Manaal Faruqui, Ankur Parikh, et al.2019 · 266 citations
  6. TLDR: Extreme Summarization of Scientific DocumentsIsabel Cachola, Kyle Lo, Arman Cohan, et al.2020 · 260 citations
  7. CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive SummarizationShuyang Cao, Lu Wang2021 · 257 citations
  8. Re-evaluating Evaluation in Text SummarizationManik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, et al.2020 · 256 citations
  9. Automatically Assessing Machine Summary Content Without a Gold StandardAnnie Louis, Ani Nenkova2013 · 254 citations
  10. Multi-Reward Reinforced Summarization with Saliency and EntailmentRamakanth Pasunuru, Mohit Bansal2018 · 252 citations
  11. ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and ExplanationVijit Malik, Rishabh Sanjay, Shubham Kumar Nigam, et al.2021 · 251 citations
  12. SPICE: Semantic Propositional Image Caption EvaluationPeter Anderson, Basura Fernando, Mark Johnson, et al.2016 · 244 citations
  13. MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence FrontiersKrishna Pillutla, Swabha Swayamdipta, Rowan Zellers, et al.2021 · 243 citations
  14. Trusting Your Evidence: Hallucinate Less with Context-aware DecodingWeijia Shi, Xiaochuang Han, Mike Lewis, et al.2024 · 240 citations
  15. Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology ReportsYuhao Zhang, Derek Merck, Emily Tsai, et al.2020 · 240 citations
  16. LaMP: When Large Language Models Meet PersonalizationAlireza Salemi, Sheshera Mysore, Michael Bendersky, et al.2024 · 239 citations
  17. ASQA: Factoid Questions Meet Long-Form AnswersIvan Stelmakh, Yi Luan, Bhuwan Dhingra, et al.2022 · 239 citations
  18. Reframing Instructional Prompts to GPTk's LanguageSwaroop Mishra, Daniel Khashabi, Chitta Baral, et al.2022 · 236 citations
  19. COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge GraphsJena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, et al.2020 · 235 citations
  20. Politeness Transfer: A Tag and Generate ApproachAman Madaan, Amrith Setlur, Tanmay Parekh, et al.2020 · 234 citations
  21. A Discrete Hard EM Approach for Weakly Supervised Question AnsweringSewon Min, Danqi Chen, Hannaneh Hajishirzi, et al.2019 · 233 citations
  22. Classical Structured Prediction Losses for Sequence to Sequence LearningSergey Edunov, Myle Ott, Michael Auli, et al.2018 · 232 citations
  23. Step-by-Step: Separating Planning from Realization in Neural Data-to-Text GenerationAmit Moryossef, Yoav Goldberg, Ido Dagan2019 · 230 citations
  24. Detecting Hallucinated Content in Conditional Neural Sequence GenerationChunting Zhou, Graham Neubig, Jiatao Gu, et al.2021 · 229 citations
  25. Hurdles to Progress in Long-form Question AnsweringKalpesh Krishna, Aurko Roy, Mohit Iyyer2021 · 227 citations
  26. Open-Domain Question Answering Goes Conversational via Question RewritingRaviteja Anantha, Svitlana Vakulenko, Zhucheng Tu, et al.2021 · 227 citations
  27. TrustLLM: Trustworthiness in Large Language ModelsYue Huang, Lichao Sun, Haoran Wang, et al.2024 · 226 citations
  28. Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought PromptingHaoyang Huang, Tianyi Tang, Dongdong Zhang, et al.2023 · 223 citations
  29. Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language ModelsSeungone Kim, Juyoung Suk, Shayne Longpre, et al.2024 · 220 citations
  30. Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' AlignmentYang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li2023 · 219 citations
  31. Factual Error Correction for Abstractive Summarization ModelsMeng Cao, Yue Dong, Jiapeng Wu, et al.2020 · 217 citations
  32. Data-Driven Sentence Simplification: Survey and BenchmarkFernando Alva-Manchego, Carolina Scarton, Lucia Specia2020 · 213 citations
  33. Fine-Grained Human Feedback Gives Better Rewards for Language Model TrainingZeqiu Wu, Yushi Hu, Weijia Shi, et al.2023 · 212 citations
  34. Answers Unite! Unsupervised Metrics for Reinforced Summarization ModelsThomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, et al.2019 · 210 citations
  35. Compressing Context to Enhance Inference Efficiency of Large Language ModelsYucheng Li, Bo Dong, Frank Guerin, et al.2023 · 208 citations
  36. LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language ModelsYen-Ting Lin, Yun-Nung Chen2023 · 206 citations
  37. PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document SummarizationWen Xiao, Iz Beltagy, Giuseppe Carenini, et al.2022 · 204 citations
  38. Towards a Unified Multi-Dimensional Evaluator for Text GenerationMing Zhong, Yang Liu, Da Yin, et al.2022 · 204 citations
  39. AraT5: Text-to-Text Transformers for Arabic Language GenerationEl Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed2022 · 201 citations
  40. Aligning Large Language Models with Human: A SurveyYufei Wang, Wanjun Zhong, Liangyou Li, et al.2023 · 199 citations
  41. CTRLsum: Towards Generic Controllable Text SummarizationJunxian He, Wojciech Kryscinski, Bryan McCann, et al.2022 · 199 citations
  42. A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 198 citations
  43. Q²: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question AnsweringOr Honovich, Leshem Choshen, Roee Aharoni, et al.2021 · 195 citations
  44. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsHaitao Li, Qian Dong, Junjie Chen, et al.2024 · 188 citations
  45. RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language ModelsZekun Moore Wang, Zhongyuan Peng, Haoran Que, et al.2023 · 186 citations
  46. We Need to Consider Disagreement in EvaluationValerio Basile, Michael Fell, Tommaso Fornaciari, et al.2021 · 185 citations
  47. compare-mt: A Tool for Holistic Comparison of Language Generation SystemsGraham Neubig, Zi-Yi Dou, Junjie Hu, et al.2019 · 185 citations
  48. LawBench: Benchmarking Legal Knowledge of Large Language ModelsZhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al.2023 · 184 citations
  49. Re2G: Retrieve, Rerank, GenerateMichael Glass, Gaetano Rossiello, Md Faisal Mahbub Chowdhury, et al.2022 · 183 citations
  50. Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge GraphsHouyu Zhang, Zhenghao Liu, Chenyan Xiong, et al.2020 · 181 citations
  51. MediaSum: A Large-scale Media Interview Dataset for Dialogue SummarizationChenguang Zhu, Yang Liu, Jie Mei, et al.2021 · 176 citations
  52. AudioCaps: Generating Captions for Audios in The WildChris Dongjoo Kim, Byeongchang Kim, Hyunmin Lee, et al.2019 · 176 citations
  53. BillSum: A Corpus for Automatic Summarization of US LegislationAnastassia Kornilova, Vladimir Eidelman2019 · 173 citations
  54. Controllable Paraphrase Generation with a Syntactic ExemplarMingda Chen, Qingming Tang, Sam Wiseman, et al.2019 · 173 citations
  55. A-MEM: Agentic Memory for LLM AgentsWujiang Xu, Zujie Liang, Kai Mei, et al.2025 · 171 citations
  56. AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-TuningQingru Zhang, Minshuo Chen, Alexander Bukharin, et al.2023 · 170 citations
  57. Learning to Compress Prompts with Gist TokensJesse Mu, Xiang Lisa Li, Noah Goodman2023 · 170 citations
  58. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityCunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 169 citations
  59. Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive SummarizationMeng Cao, Yue Dong, Jackie Cheung2022 · 167 citations
  60. Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy OptimizationRajkumar Ramamurthy, Prithviraj Ammanabrolu, Kiante Brantley, et al.2022 · 166 citations
  61. Abstract Meaning Representation for Multi-Document SummarizationKexin Liao, Logan Lebanoff, Fei Liu2018 · 166 citations
  62. Semantic Noise Matters for Neural Natural Language GenerationOndřej Dušek, David M. Howcroft, Verena Rieser2019 · 164 citations
  63. DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world ApplicationsWei He, Kai Liu, Jing Liu, et al.2017 · 163 citations
  64. Long-form factuality in large language modelsJerry Wei, Chengrun Yang, Xinying Song, et al.2024 · 162 citations
  65. SCROLLS: Standardized CompaRison Over Long Language SequencesUri Shaham, Elad Segal, Maor Ivgi, et al.2022 · 162 citations
  66. Explanations for CommonsenseQA: New Dataset and ModelsShourya Aggarwal, Divyanshu Mandowara, Vishwajeet Agrawal, et al.2021 · 162 citations
  67. ChatGPT as a Factual Inconsistency Evaluator for Text SummarizationZheheng Luo, Qianqian Xie, Sophia Ananiadou2023 · 160 citations
  68. Orca 2: Teaching Small Language Models How to ReasonArindam Mitra, Luciano Del Corro, Shweti Mahajan, et al.2023 · 160 citations
  69. LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt CompressionZhuoshi Pan, Qianhui Wu, Huiqiang Jiang, et al.2024 · 159 citations
  70. L-Eval: Instituting Standardized Evaluation for Long Context Language ModelsChenxin An, Shansan Gong, Ming Zhong, et al.2023 · 159 citations
  71. FacTool: Factuality Detection in Generative AI — A Tool Augmented Framework for Multi-Task and Multi-Domain ScenariosI-Chun Chern, Steffi Chern, Shiqi Chen, et al.2023 · 158 citations
  72. ROSCOE: A Suite of Metrics for Scoring Step-by-Step ReasoningOlga Golovneva, Moya Chen, Spencer Poff, et al.2022 · 149 citations
  73. Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative DecodingJun Zhang, Jue Wang, Huan Li, et al.2024 · 146 citations
  74. MiniLLM: On-Policy Distillation of Large Language ModelsYuxian Gu, Li Dong, Furu Wei, et al.2023 · 143 citations
  75. Long-term Recurrent Convolutional Networks for Visual Recognition and DescriptionJeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, et al.2014 · 142 citations
  76. JudgeLM: Fine-tuned Large Language Models are Scalable JudgesLianghui Zhu, Xinggang Wang, Xinlong Wang2023 · 141 citations
  77. Paragraph-level Simplification of Medical TextsAshwin Devaraj, Iain Marshall, Byron Wallace, et al.2021 · 139 citations
  78. Investigating Data Contamination in Modern Benchmarks for Large Language ModelsChunyuan Deng, Yilun Zhao, Xiangru Tang, et al.2024 · 137 citations
  79. NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead HeuristicsXiming Lu, Sean Welleck, Peter West, et al.2022 · 136 citations
  80. SummScreen: A Dataset for Abstractive Screenplay SummarizationMingda Chen, Zewei Chu, Sam Wiseman, et al.2022 · 136 citations
  81. SLiC-HF: Sequence Likelihood Calibration with Human FeedbackYao Zhao, Rishabh Joshi, Tianqi Liu, et al.2023 · 135 citations
  82. Many-Shot In-Context LearningRishabh Agarwal, Avi Singh, Lei M. Zhang, et al.2024 · 134 citations
  83. Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse ModelsPat Verga, Sebastian Hofstatter, Sophia Althammer, et al.2024 · 134 citations
  84. Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and ApproachesShane Storks, Qiaozi Gao, Joyce Y. Chai2019 · 134 citations
  85. TOFU: A Task of Fictitious Unlearning for LLMsPratyush Maini, Zhili Feng, Avi Schwarzschild, et al.2024 · 133 citations
  86. Syntax-Guided Controlled Generation of ParaphrasesAshutosh Kumar, Kabir Ahuja, Raghuram Vadapalli, et al.2020 · 131 citations
  87. Learning Compact Metrics for MTAmy Pu, Hyung Won Chung, Ankur Parikh, et al.2021 · 130 citations
  88. Retrieval meets Long Context Large Language ModelsPeng Xu, Wei Ping, Xianchao Wu, et al.2023 · 129 citations
  89. ZeroSCROLLS: A Zero-Shot Benchmark for Long Text UnderstandingUri Shaham, Maor Ivgi, Avia Efrat, et al.2023 · 128 citations
  90. Time Travel in LLMs: Tracing Data Contamination in Large Language ModelsShahriar Golchin, Mihai Surdeanu2023 · 127 citations
  91. Assisting in Writing Wikipedia-like Articles From Scratch with Large Language ModelsYijia Shao, Yucheng Jiang, Theodore Kanell, et al.2024 · 126 citations
  92. Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error DetectorsLiyan Tang, Tanya Goyal, Alex Fabbri, et al.2023 · 126 citations
  93. Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language ModelsLei Li, Yuqi Wang, Runxin Xu, et al.2024 · 123 citations
  94. Generative Judge for Evaluating AlignmentJunlong Li, Shichao Sun, Weizhe Yuan, et al.2023 · 121 citations
  95. Negative Preference Optimization: From Catastrophic Collapse to Effective UnlearningRuiqi Zhang, Licong Lin, Yu Bai, et al.2024 · 119 citations
  96. Encode, Tag, Realize: High-Precision Text EditingEric Malmi, Sebastian Krause, Sascha Rothe, et al.2019 · 118 citations
  97. Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human EvaluationYixin Liu, Alexander R. Fabbri, Pengfei Liu, et al.2022 · 116 citations
  98. From Persona to Personalization: A Survey on Role-Playing Language AgentsJiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 114 citations
  99. MLSUM: The Multilingual Summarization CorpusThomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, et al.2020 · 114 citations
  100. Break the Sequential Dependency of LLM Inference Using Lookahead DecodingYichao Fu, Peter Bailis, Ion Stoica, et al.2024 · 112 citations

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