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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 1 of 3 · 1–100 · ← the paper

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  1. Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerColin Raffel, Noam Shazeer, Adam Roberts, et al.2019 · 7,433 citations
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  6. Convolutional Sequence to Sequence LearningJonas Gehring, Michael Auli, David Grangier, et al.2017 · 2,983 citations
  7. A Survey of Large Language ModelsWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,847 citations
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  10. Self-critical Sequence Training for Image CaptioningSteven J. Rennie, Etienne Marcheret, Youssef Mroueh, et al.2016 · 2,367 citations
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  12. Incorporating Copying Mechanism in Sequence-to-Sequence LearningJiatao Gu, Zhengdong Lu, Hang Li, et al.2016 · 1,895 citations
  13. Microsoft COCO Captions: Data Collection and Evaluation ServerXinlei Chen, Hao Fang, Tsung-Yi Lin, et al.2015 · 1,859 citations
  14. PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationJingqing Zhang, Yao Zhao, Mohammad Saleh, et al.2019 · 1,806 citations
  15. A Deep Reinforced Model for Abstractive SummarizationRomain Paulus, Caiming Xiong, Richard Socher2017 · 1,626 citations
  16. CLIPScore: A Reference-free Evaluation Metric for Image CaptioningJack Hessel, Ari Holtzman, Maxwell Forbes, et al.2021 · 1,498 citations
  17. GLM: General Language Model Pretraining with Autoregressive Blank InfillingZhengxiao Du, Yujie Qian, Xiao Liu, et al.2022 · 1,449 citations
  18. Unified Language Model Pre-training for Natural Language Understanding and GenerationLi Dong, Nan Yang, Wenhui Wang, et al.2019 · 1,389 citations
  19. VideoBERT: A Joint Model for Video and Language Representation LearningChen Sun, Austin Myers, Carl Vondrick, et al.2019 · 1,305 citations
  20. MS MARCO: A Human Generated MAchine Reading COmprehension DatasetPayal Bajaj, Daniel Campos, Nick Craswell, et al.2016 · 1,103 citations
  21. Abstractive Sentence Summarization with Attentive Recurrent Neural NetworksSumit Chopra, Michael Auli, Alexander M. Rush2016 · 1,085 citations
  22. ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence PairsWenpeng Yin, Hinrich Schütze, Bing Xiang, et al.2016 · 1,048 citations
  23. LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language ModelsYaowei Zheng, Richong Zhang, Junhao Zhang, et al.2024 · 1,035 citations
  24. The NarrativeQA Reading Comprehension ChallengeTomáš Kočiský, Jonathan Schwarz, Phil Blunsom, et al.2018 · 1,026 citations
  25. A Discourse-Aware Attention Model for Abstractive Summarization of Long DocumentsArman Cohan, Franck Dernoncourt, Doo Soon Kim, et al.2018 · 1,018 citations
  26. Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language ModelsYue Zhang, Yafu Li, Leyang Cui, et al.2023 · 962 citations
  27. Learning to Ask: Neural Question Generation for Reading ComprehensionXinya Du, Junru Shao, Claire Cardie2017 · 913 citations
  28. Automatic Evaluation of Topic CoherenceDavid Newman, Jey Han Lau, Karl Grieser, et al.2010 · 823 citations
  29. MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover DistanceWei Zhao, Maxime Peyrard, Fei Liu, et al.2019 · 822 citations
  30. Fast Abstractive Summarization with Reinforce-Selected Sentence RewritingYen-Chun Chen, Mohit Bansal2018 · 819 citations
  31. Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondJingfeng Yang, Hongye Jin, Ruixiang Tang, et al.2023 · 806 citations
  32. BARTScore: Evaluating Generated Text as Text GenerationWeizhe Yuan, Graham Neubig, Pengfei Liu2021 · 806 citations
  33. Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive StrategiesMax Grusky, Mor Naaman, Yoav Artzi2018 · 778 citations
  34. GLM-130B: An Open Bilingual Pre-trained ModelAohan Zeng, Xiao Liu, Zhengxiao Du, et al.2022 · 775 citations
  35. Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical ModelAlexander Fabbri, Irene Li, Tianwei She, et al.2019 · 738 citations
  36. CIDEr: Consensus-based Image Description EvaluationRamakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh2014 · 733 citations
  37. Style Transfer in Text: Exploration and EvaluationZhenxin Fu, Xiaoye Tan, Nanyun Peng, et al.2017 · 701 citations
  38. A Class of Submodular Functions for Document SummarizationHui Lin, Jeff Bilmes2011 · 683 citations
  39. ELI5: Long Form Question AnsweringAngela Fan, Yacine Jernite, Ethan Perez, et al.2019 · 682 citations
  40. KILT: a Benchmark for Knowledge Intensive Language TasksFabio Petroni, Aleksandra Piktus, Angela Fan, et al.2020 · 663 citations
  41. Exploring Content Models for Multi-Document SummarizationAria Haghighi, Lucy Vanderwende2009 · 630 citations
  42. Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant OpinionsKavita Ganesan, ChengXiang Zhai, Jiawei Han2010 · 608 citations
  43. Towards a Unified View of Parameter-Efficient Transfer LearningJunxian He, Chunting Zhou, Xuezhe Ma, et al.2021 · 604 citations
  44. Towards a Human-like Open-Domain ChatbotDaniel Adiwardana, Minh-Thang Luong, David R. So, et al.2020 · 573 citations
  45. Minimum Risk Training for Neural Machine TranslationShiqi Shen, Yong Cheng, Zhongjun He, et al.2015 · 572 citations
  46. Neural Text Summarization: A Critical EvaluationWojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, et al.2019 · 555 citations
  47. Reducing Transformer Depth on Demand with Structured DropoutAngela Fan, Edouard Grave, Armand Joulin2019 · 546 citations
  48. Cosmos QA: Machine Reading Comprehension with Contextual Commonsense ReasoningLifu Huang, Ronan Le Bras, Chandra Bhagavatula, et al.2019 · 536 citations
  49. The Natural Language Decathlon: Multitask Learning as Question AnsweringBryan McCann, Nitish Shirish Keskar, Caiming Xiong, et al.2018 · 523 citations
  50. LongBench: A Bilingual, Multitask Benchmark for Long Context UnderstandingYushi Bai, Xin Lv, Jiajie Zhang, et al.2023 · 505 citations
  51. How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response GenerationChia-Wei Liu, Ryan Lowe, Iulian Serban, et al.2016 · 500 citations
  52. Towards an Automatic Turing Test: Learning to Evaluate Dialogue ResponsesRyan Lowe, Michael Noseworthy, Iulian V. Serban, et al.2017 · 486 citations
  53. Hierarchical Transformers for Multi-Document SummarizationYang Liu, Mirella Lapata2019 · 462 citations
  54. The E2E Dataset: New Challenges For End-to-End GenerationJekaterina Novikova, Ondřej Dušek, Verena Rieser2017 · 461 citations
  55. OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning FrameworkPeng Wang, An Yang, Rui Men, et al.2022 · 452 citations
  56. ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-trainingWeizhen Qi, Yu Yan, Yeyun Gong, et al.2020 · 451 citations
  57. HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document SummarizationXingxing Zhang, Furu Wei, Ming Zhou2019 · 446 citations
  58. Neural Document Summarization by Jointly Learning to Score and Select SentencesQingyu Zhou, Nan Yang, Furu Wei, et al.2018 · 446 citations
  59. Controllable Abstractive SummarizationAngela Fan, David Grangier, Michael Auli2018 · 423 citations
  60. Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality MetricsArtidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov2021 · 417 citations
  61. Pay Less Attention with Lightweight and Dynamic ConvolutionsFelix Wu, Angela Fan, Alexei Baevski, et al.2019 · 416 citations
  62. Abstractive Document Summarization with a Graph-Based Attentional Neural ModelJiwei Tan, Xiaojun Wan, Jianguo Xiao2017 · 407 citations
  63. AgentBench: Evaluating LLMs as AgentsXiao Liu, Hao Yu, Hanchen Zhang, et al.2023 · 404 citations
  64. LongT5: Efficient Text-To-Text Transformer for Long SequencesMandy Guo, Joshua Ainslie, David Uthus, et al.2022 · 398 citations
  65. Towards Emotional Support Dialog SystemsSiyang Liu, Chujie Zheng, Orianna Demasi, et al.2021 · 391 citations
  66. Discourse-Aware Neural Extractive Text SummarizationJiacheng Xu, Zhe Gan, Yu Cheng, et al.2019 · 382 citations
  67. UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-TrainingHangbo Bao, Li Dong, Furu Wei, et al.2020 · 380 citations
  68. Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention NetworksYao Zhao, Xiaochuan Ni, Yuanyuan Ding, et al.2018 · 376 citations
  69. A Scalable Global Model for SummarizationDan Gillick, Benoit Favre2009 · 376 citations
  70. A Survey on Large Language Models for Code GenerationJuyong Jiang, Fan Wang, Jiasi Shen, et al.2024 · 366 citations
  71. Latent Hatred: A Benchmark for Understanding Implicit Hate SpeechMai ElSherief, Caleb Ziems, David Muchlinski, et al.2021 · 364 citations
  72. Augmented Language Models: a SurveyGrégoire Mialon, Roberto Dessì, Maria Lomeli, et al.2023 · 362 citations
  73. BRIO: Bringing Order to Abstractive SummarizationYixin Liu, Pengfei Liu, Dragomir Radev, et al.2022 · 357 citations
  74. Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated FeedbackBaolin Peng, Michel Galley, Pengcheng He, et al.2023 · 354 citations
  75. QuestEval: Summarization Asks for Fact-based EvaluationThomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, et al.2021 · 353 citations
  76. Towards Mitigating LLM Hallucination via Self ReflectionZiwei Ji, Tiezheng Yu, Yan Xu, et al.2023 · 352 citations
  77. ChatEval: Towards Better LLM-based Evaluators through Multi-Agent DebateChi-Min Chan, Weize Chen, Yusheng Su, et al.2023 · 351 citations
  78. SimCLS: A Simple Framework for Contrastive Learning of Abstractive SummarizationYixin Liu, Pengfei Liu2021 · 340 citations
  79. Toward Abstractive Summarization Using Semantic RepresentationsFei Liu, Jeffrey Flanigan, Sam Thomson, et al.2015 · 337 citations
  80. Large Language Models for Information Retrieval: A SurveyYutao Zhu; Huaying Yuan; Shuting Wang; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Haonan Chen; Zheng Liu; Zhicheng Dou;, Ji-Rong Wen2023 · 335 citations
  81. LLMLingua: Compressing Prompts for Accelerated Inference of Large Language ModelsHuiqiang Jiang, Qianhui Wu, Chin-Yew Lin, et al.2023 · 335 citations
  82. Efficient Attentions for Long Document SummarizationLuyang Huang, Shuyang Cao, Nikolaus Parulian, et al.2021 · 334 citations
  83. Are Emergent Abilities of Large Language Models a Mirage?Rylan Schaeffer, Brando Miranda, Sanmi Koyejo2023 · 323 citations
  84. Controlling Output Length in Neural Encoder-DecodersYuta Kikuchi, Graham Neubig, Ryohei Sasano, et al.2016 · 323 citations
  85. GSum: A General Framework for Guided Neural Abstractive SummarizationZi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, et al.2021 · 317 citations
  86. Explainable Automated Fact-Checking for Public Health ClaimsNeema Kotonya, Francesca Toni2020 · 314 citations
  87. Unsupervised Pretraining for Sequence to Sequence LearningPrajit Ramachandran, Peter Liu, Quoc Le2017 · 312 citations
  88. Generating Wikipedia by Summarizing Long SequencesPeter J. Liu, Mohammad Saleh, Etienne Pot, et al.2018 · 308 citations
  89. DialogSum: A Real-Life Scenario Dialogue Summarization DatasetYulong Chen, Yang Liu, Liang Chen, et al.2021 · 301 citations
  90. Abductive Commonsense ReasoningChandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, et al.2019 · 301 citations
  91. Multi-step Jailbreaking Privacy Attacks on ChatGPTHaoran Li, Dadi Guo, Wei Fan, et al.2023 · 298 citations
  92. Bridging the Gap between Training and Inference for Neural Machine TranslationWen Zhang, Yang Feng, Fandong Meng, et al.2019 · 298 citations
  93. Paraphrase Generation with Deep Reinforcement LearningZichao Li, Xin Jiang, Lifeng Shang, et al.2018 · 298 citations
  94. CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement LearningHung Le, Yue Wang, Akhilesh Deepak Gotmare, et al.2022 · 290 citations
  95. A Benchmark Dataset for Learning to Intervene in Online Hate SpeechJing Qian, Anna Bethke, Yinyin Liu, et al.2019 · 290 citations
  96. On-Policy Distillation of Language Models: Learning from Self-Generated MistakesRishabh Agarwal, Nino Vieillard, Yongchao Zhou, et al.2023 · 288 citations
  97. Why We Need New Evaluation Metrics for NLGJekaterina Novikova, Ondřej Dušek, Amanda Cercas Curry, et al.2017 · 287 citations
  98. USR: An Unsupervised and Reference Free Evaluation Metric for Dialog GenerationShikib Mehri, Maxine Eskenazi2020 · 283 citations
  99. Is ChatGPT a Good NLG Evaluator? A Preliminary StudyJiaan Wang, Yunlong Liang, Fandong Meng, et al.2023 · 281 citations
  100. AlignScore: Evaluating Factual Consistency with A Unified Alignment FunctionYuheng Zha, Yichi Yang, Ruichen Li, et al.2023 · 280 citations

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