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Who cites «Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond»

933 papers of our library cite it (of the 149,439 whose bibliographies we read) · 142 with a page here, the most cited first · page 1 of 2 · 1–100 · ← back to «Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond»

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  1. Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerarXiv:1910.10683Colin Raffel, Noam Shazeer, Adam Roberts, et al.2019 · 11,325 citations
  2. Training language models to follow instructions with human feedbackarXiv:2203.02155Long Ouyang, Jeff Wu, Xu Jiang, et al.2022 · 10,224 citations
  3. fairseq: A Fast, Extensible Toolkit for Sequence ModelingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Myle Ott, Sergey Edunov, Alexei Baevski, et al.2019 · 3,984 citations
  4. Convolutional Sequence to Sequence LearningarXiv:1705.03122Jonas Gehring, Michael Auli, David Grangier, et al.2017 · 3,042 citations
  5. Direct Preference Optimization: Your Language Model is Secretly a Reward ModelarXiv:2305.18290Rafael Rafailov, Archit Sharma, Eric Mitchell, et al.2023 · 2,896 citations
  6. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
  7. The Curious Case of Neural Text DegenerationarXiv:1904.09751Ari Holtzman, Jan Buys, Li Du, et al.2019 · 2,660 citations
  8. OpenNMT: Open-Source Toolkit for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Guillaume Klein, Yoon Kim, Yuntian Deng, et al.2017 · 2,475 citations
  9. Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Shashi Narayan, Shay B. Cohen, Mirella Lapata2018 · 2,149 citations
  10. Text Summarization with Pretrained EncodersConference on Empirical Methods in Natural Language Processing (EMNLP)Yang Liu, Mirella Lapata2019 · 2,095 citations
  11. PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationarXiv:1912.08777Jingqing Zhang, Yao Zhao, Mohammad Saleh, et al.2019 · 1,828 citations
  12. A Deep Reinforced Model for Abstractive SummarizationarXiv:1705.04304Romain Paulus, Caiming Xiong, Richard Socher2017 · 1,657 citations
  13. SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of DocumentsProceedings of the AAAI Conference on Artificial IntelligenceRamesh Nallapati, Feifei Zhai, Bowen Zhou2016 · 1,575 citations
  14. CTRL: A Conditional Transformer Language Model for Controllable GenerationarXiv:1909.05858Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, et al.2019 · 1,291 citations
  15. Evaluating the Factual Consistency of Abstractive Text SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Wojciech Kryscinski, Bryan McCann, Caiming Xiong, et al.2020 · 1,120 citations
  16. Abstractive Sentence Summarization with Attentive Recurrent Neural NetworksConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Sumit Chopra, Michael Auli, Alexander M. Rush2016 · 1,094 citations
  17. LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yaowei Zheng, Richong Zhang, Junhao Zhang, et al.2024 · 1,048 citations
  18. GQA: Training Generalized Multi-Query Transformer Models from Multi-Head CheckpointsConference on Empirical Methods in Natural Language Processing (EMNLP)Joshua Ainslie, James Lee-Thorp, Michiel de Jong, et al.2023 · 1,026 citations
  19. A Discourse-Aware Attention Model for Abstractive Summarization of Long DocumentsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Arman Cohan, Franck Dernoncourt, Doo Soon Kim, et al.2018 · 1,026 citations
  20. Bottom-Up Abstractive SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Sebastian Gehrmann, Yuntian Deng, Alexander Rush2018 · 947 citations
  21. A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and InteractivityarXiv:2302.04023Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, et al.2023 · 882 citations
  22. Fast Abstractive Summarization with Reinforce-Selected Sentence RewritingAnnual Meeting of the Association for Computational Linguistics (ACL)Yen-Chun Chen, Mohit Bansal2018 · 826 citations
  23. Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondACM Transactions on Knowledge Discovery from DataJingfeng Yang, Hongye Jin, Ruixiang Tang, et al.2023 · 814 citations
  24. Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive StrategiesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Max Grusky, Mor Naaman, Yoav Artzi2018 · 789 citations
  25. Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Alexander Fabbri, Irene Li, Tianwei She, et al.2019 · 750 citations
  26. SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive SummarizationWorkshop on New Frontiers in SummarizationBogdan Gliwa, Iwona Mochol, Maciej Biesek, et al.2019 · 715 citations
  27. Massive Exploration of Neural Machine Translation ArchitecturesConference on Empirical Methods in Natural Language Processing (EMNLP)Denny Britz, Anna Goldie, Minh-Thang Luong, et al.2017 · 574 citations
  28. Extractive Summarization as Text MatchingAnnual Meeting of the Association for Computational Linguistics (ACL)Ming Zhong, Pengfei Liu, Yiran Chen, et al.2020 · 570 citations
  29. Neural Text Summarization: A Critical EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, et al.2019 · 559 citations
  30. The Natural Language Decathlon: Multitask Learning as Question AnsweringarXiv:1806.08730Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, et al.2018 · 545 citations
  31. Learned in Translation: Contextualized Word VectorsarXiv:1708.00107Bryan McCann, James Bradbury, Caiming Xiong, et al.2017 · 512 citations
  32. Large Language Models: A SurveyarXiv:2402.06196Shervin Minaee, Tomas Mikolov, Narjes Nikzad, et al.2024 · 471 citations
  33. ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-trainingFindings of the Association for Computational LinguisticsWeizhen Qi, Yu Yan, Yeyun Gong, et al.2020 · 453 citations
  34. HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Xingxing Zhang, Furu Wei, Ming Zhou2019 · 451 citations
  35. Neural Document Summarization by Jointly Learning to Score and Select SentencesAnnual Meeting of the Association for Computational Linguistics (ACL)Qingyu Zhou, Nan Yang, Furu Wei, et al.2018 · 450 citations
  36. Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama, et al.2019 · 445 citations
  37. Pay Less Attention with Lightweight and Dynamic ConvolutionsarXiv:1901.10430Felix Wu, Angela Fan, Alexei Baevski, et al.2019 · 437 citations
  38. Controllable Abstractive SummarizationWorkshop on Neural Machine Translation and GenerationAngela Fan, David Grangier, Michael Auli2018 · 427 citations
  39. Abstractive Document Summarization with a Graph-Based Attentional Neural ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Jiwei Tan, Xiaojun Wan, Jianguo Xiao2017 · 409 citations
  40. QMSum: A New Benchmark for Query-based Multi-domain Meeting SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ming Zhong, Da Yin, Tao Yu, et al.2021 · 404 citations
  41. LongT5: Efficient Text-To-Text Transformer for Long SequencesFindings of the Association for Computational LinguisticsMandy Guo, Joshua Ainslie, David Uthus, et al.2022 · 399 citations
  42. Heterogeneous Graph Neural Networks for Extractive Document SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Danqing Wang, Pengfei Liu, Yining Zheng, et al.2020 · 370 citations
  43. BRIO: Bringing Order to Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Liu, Pengfei Liu, Dragomir Radev, et al.2022 · 360 citations
  44. QuestEval: Summarization Asks for Fact-based EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, et al.2021 · 359 citations
  45. FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Esin Durmus, He He, Mona Diab2020 · 359 citations
  46. Graph-based Neural Multi-Document SummarizationConference on Computational Natural Language Learning (CoNLL)Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, et al.2017 · 351 citations
  47. SimCLS: A Simple Framework for Contrastive Learning of Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Liu, Pengfei Liu2021 · 341 citations
  48. Generating Wikipedia by Summarizing Long SequencesarXiv:1801.10198Peter J. Liu, Mohammad Saleh, Etienne Pot, et al.2018 · 334 citations
  49. Selective Encoding for Abstractive Sentence SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Qingyu Zhou, Nan Yang, Furu Wei, et al.2017 · 330 citations
  50. Unsupervised Pretraining for Sequence to Sequence LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Prajit Ramachandran, Peter Liu, Quoc Le2017 · 327 citations
  51. Controlling Output Length in Neural Encoder-DecodersConference on Empirical Methods in Natural Language Processing (EMNLP)Yuta Kikuchi, Graham Neubig, Ryohei Sasano, et al.2016 · 324 citations
  52. GSum: A General Framework for Guided Neural Abstractive SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, et al.2021 · 322 citations
  53. LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative FusionAnnual Meeting of the Association for Computational Linguistics (ACL)Dongfu Jiang, Xiang Ren, Bill Yuchen Lin2023 · 321 citations
  54. QAFactEval: Improved QA-Based Factual Consistency Evaluation for SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Alexander Fabbri, Chien-Sheng Wu, Wenhao Liu, et al.2022 · 292 citations
  55. Ranking Sentences for Extractive Summarization with Reinforcement LearningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Shashi Narayan, Shay B. Cohen, Mirella Lapata2018 · 290 citations
  56. WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive SummarizationFindings of the Association for Computational LinguisticsFaisal Ladhak, Esin Durmus, Claire Cardie, et al.2020 · 275 citations
  57. Retrieve, Rerank and Rewrite: Soft Template Based Neural SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Ziqiang Cao, Wenjie Li, Sujian Li, et al.2018 · 270 citations
  58. Selective Attention for Context-aware Neural Machine TranslationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Sameen Maruf, André F. T. Martins, Gholamreza Haffari2019 · 263 citations
  59. Language as a Latent Variable: Discrete Generative Models for Sentence CompressionConference on Empirical Methods in Natural Language Processing (EMNLP)Yishu Miao, Phil Blunsom2016 · 262 citations
  60. On Extractive and Abstractive Neural Document Summarization with Transformer Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Jonathan Pilault, Raymond Li, Sandeep Subramanian, et al.2020 · 261 citations
  61. Re-evaluating Evaluation in Text SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, et al.2020 · 259 citations
  62. Multi-Reward Reinforced Summarization with Saliency and EntailmentConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ramakanth Pasunuru, Mohit Bansal2018 · 255 citations
  63. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelarXiv:2402.07827Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 253 citations
  64. Sentence Centrality Revisited for Unsupervised SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Zheng, Mirella Lapata2019 · 251 citations
  65. MSMO: Multimodal Summarization with Multimodal OutputConference on Empirical Methods in Natural Language Processing (EMNLP)Junnan Zhu, Haoran Li, Tianshang Liu, et al.2018 · 245 citations
  66. Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology ReportsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuhao Zhang, Derek Merck, Emily Tsai, et al.2020 · 241 citations
  67. BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Eva Sharma, Chen Li, Lu Wang2019 · 236 citations
  68. Open-Domain Question Answering Goes Conversational via Question RewritingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Raviteja Anantha, Svitlana Vakulenko, Zhucheng Tu, et al.2021 · 228 citations
  69. Searching for Effective Neural Extractive Summarization: What Works and What's NextAnnual Meeting of the Association for Computational Linguistics (ACL)Ming Zhong, Pengfei Liu, Danqing Wang, et al.2019 · 225 citations
  70. Annotating and Modeling Fine-grained Factuality in SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Tanya Goyal, Greg Durrett2021 · 216 citations
  71. Answers Unite! Unsupervised Metrics for Reinforced Summarization ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, et al.2019 · 214 citations
  72. Extractive Summarization of Long Documents by Combining Global and Local ContextConference on Empirical Methods in Natural Language Processing (EMNLP)Wen Xiao, Giuseppe Carenini2019 · 214 citations
  73. Sentence Mover's Similarity: Automatic Evaluation for Multi-Sentence TextsAnnual Meeting of the Association for Computational Linguistics (ACL)Elizabeth Clark, Asli Celikyilmaz, Noah A. Smith2019 · 209 citations
  74. Entity-level Factual Consistency of Abstractive Text SummarizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Feng Nan, Ramesh Nallapati, Zhiguo Wang, et al.2021 · 207 citations
  75. Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Jiaao Chen, Diyi Yang2020 · 204 citations
  76. TL;DR: Mining Reddit to Learn Automatic SummarizationWorkshop on New Frontiers in SummarizationMichael Völske, Martin Potthast, Shahbaz Syed, et al.2017 · 204 citations
  77. Neural Open Information ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Lei Cui, Furu Wei, Ming Zhou2018 · 188 citations
  78. Unsupervised Opinion Summarization as Copycat-Review GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Arthur Bražinskas, Mirella Lapata, Ivan Titov2020 · 173 citations
  79. Abstract Meaning Representation for Multi-Document SummarizationInternational Conference on Computational Linguistics (COLING)Kexin Liao, Logan Lebanoff, Fei Liu2018 · 167 citations
  80. MiniCheck: Efficient Fact-Checking of LLMs on Grounding DocumentsConference on Empirical Methods in Natural Language Processing (EMNLP)Liyan Tang, Philippe Laban, Greg Durrett2024 · 166 citations
  81. Controllable Text Simplification with Explicit ParaphrasingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Mounica Maddela, Fernando Alva-Manchego, Wei Xu2021 · 164 citations
  82. Multi-Fact Correction in Abstractive Text SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Yue Dong, Shuohang Wang, Zhe Gan, et al.2020 · 163 citations
  83. ChatGPT as a Factual Inconsistency Evaluator for Text SummarizationarXiv:2303.15621Zheheng Luo, Qianqian Xie, Sophia Ananiadou2023 · 161 citations
  84. Question Answering as an Automatic Evaluation Metric for News Article SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Matan Eyal, Tal Baumel, Michael Elhadad2019 · 159 citations
  85. Scoring Sentence Singletons and Pairs for Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, et al.2019 · 159 citations
  86. Locally Typical SamplingTransactions of the Association for Computational Linguistics (TACL)Clara Meister, Tiago Pimentel, Gian Wiher, et al.2023 · 157 citations
  87. LayerSkip: Enabling Early Exit Inference and Self-Speculative DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, et al.2024 · 156 citations
  88. Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a SummaryTransactions of the Association for Computational Linguistics (TACL)Daniel Deutsch, Tania Bedrax-Weiss, Dan Roth2021 · 152 citations
  89. Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer LearningFindings of the Association for Computational LinguisticsZhaojiang Lin, Andrea Madotto, Pascale Fung2020 · 152 citations
  90. Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and SelectionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Sihao Chen, Fan Zhang, Kazoo Sone, et al.2021 · 151 citations
  91. Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative DecodingFindings of the Association for Computational LinguisticsHeming Xia, Zhe Yang, Qingxiu Dong, et al.2024 · 146 citations
  92. Understanding the Effects of RLHF on LLM Generalisation and DiversityarXiv:2310.06452Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, et al.2023 · 143 citations
  93. What Have We Achieved on Text Summarization?Conference on Empirical Methods in Natural Language Processing (EMNLP)Dandan Huang, Leyang Cui, Sen Yang, et al.2020 · 143 citations
  94. EAGLE-2: Faster Inference of Language Models with Dynamic Draft TreesConference on Empirical Methods in Natural Language Processing (EMNLP)Yuhui Li, Fangyun Wei, Chao Zhang, et al.2024 · 133 citations
  95. GO FIGURE: A Meta Evaluation of Factuality in SummarizationFindings of the Association for Computational LinguisticsSaadia Gabriel, Asli Celikyilmaz, Rahul Jha, et al.2021 · 130 citations
  96. Improved Natural Language Generation via Loss TruncationAnnual Meeting of the Association for Computational Linguistics (ACL)Daniel Kang, Tatsunori B. Hashimoto2020 · 130 citations
  97. Improving Factual Consistency of Abstractive Summarization via Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Feng Nan, Cicero Nogueira dos Santos, Henghui Zhu, et al.2021 · 129 citations
  98. DocNLI: A Large-scale Dataset for Document-level Natural Language InferenceFindings of the Association for Computational LinguisticsWenpeng Yin, Dragomir Radev, Caiming Xiong2021 · 121 citations
  99. Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human EvaluationarXiv:2212.07981Yixin Liu, Alexander R. Fabbri, Pengfei Liu, et al.2022 · 117 citations
  100. A Statistical Analysis of Summarization Evaluation Metrics Using Resampling MethodsTransactions of the Association for Computational Linguistics (TACL)Daniel Deutsch, Rotem Dror, Dan Roth2021 · 117 citations

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