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Who cites «Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization»

978 papers of our library cite it (of the 149,439 whose bibliographies we read) · 184 with a page here, the most cited first · page 1 of 2 · 1–100 · ← back to «Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization»

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  1. BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL)Mike Lewis, Yinhan Liu, Naman Goyal, et al.2020 · 12,856 citations
  2. PaLM: Scaling Language Modeling with PathwaysarXiv:2204.02311Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, et al.2022 · 4,753 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. Gemini: A Family of Highly Capable Multimodal ModelsarXiv:2312.11805Gemini Team, Rohan Anil, Sebastian Borgeaud, et al.2023 · 3,050 citations
  5. Text Summarization with Pretrained EncodersConference on Empirical Methods in Natural Language Processing (EMNLP)Yang Liu, Mirella Lapata2019 · 2,095 citations
  6. G-Eval: NLG Evaluation using Gpt-4 with Better Human AlignmentConference on Empirical Methods in Natural Language Processing (EMNLP)Yang Liu, Dan Iter, Yichong Xu, et al.2023 · 2,000 citations
  7. Finetuned Language Models Are Zero-Shot LearnersarXiv:2109.01652Jason Wei, Maarten Bosma, Vincent Y. Zhao, et al.2021 · 1,954 citations
  8. On Faithfulness and Factuality in Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Joshua Maynez, Shashi Narayan, Bernd Bohnet, et al.2020 · 1,857 citations
  9. PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationarXiv:1912.08777Jingqing Zhang, Yao Zhao, Mohammad Saleh, et al.2019 · 1,828 citations
  10. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsarXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5BvosjAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,756 citations
  11. Retrieval-Augmented Generation for Large Language Models: A SurveyarXiv:2312.10997Yunfan Gao, Yun Xiong, Xinyu Gao, et al.2023 · 1,663 citations
  12. Multitask Prompted Training Enables Zero-Shot Task GeneralizationarXiv:2110.08207Victor Sanh, Albert Webson, Colin Raffel, et al.2021 · 1,612 citations
  13. GLM: General Language Model Pretraining with Autoregressive Blank InfillingAnnual Meeting of the Association for Computational Linguistics (ACL)Zhengxiao Du, Yujie Qian, Xiao Liu, et al.2022 · 1,455 citations
  14. 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
  15. 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
  16. Big Bird: Transformers for Longer SequencesConference on Neural Information Processing Systems (NeurIPS)Manzil Zaheer, Guru Guruganesh, Avinava Dubey, et al.2020 · 1,023 citations
  17. PaLM 2 Technical ReportarXiv:2305.10403Rohan Anil, Andrew M. Dai, Orhan Firat, et al.2023 · 1,000 citations
  18. BARTScore: Evaluating Generated Text as Text GenerationarXiv:2106.11520Weizhe Yuan, Graham Neubig, Pengfei Liu2021 · 815 citations
  19. 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
  20. 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
  21. Towards a Unified View of Parameter-Efficient Transfer LearningarXiv:2110.04366Junxian He, Chunting Zhou, Xuezhe Ma, et al.2021 · 619 citations
  22. Extractive Summarization as Text MatchingAnnual Meeting of the Association for Computational Linguistics (ACL)Ming Zhong, Pengfei Liu, Yiran Chen, et al.2020 · 570 citations
  23. Leveraging Pre-trained Checkpoints for Sequence Generation TasksTransactions of the Association for Computational Linguistics (TACL)Sascha Rothe, Shashi Narayan, Aliaksei Severyn2019 · 564 citations
  24. 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
  25. DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability CurvaturearXiv:2301.11305Eric Mitchell, Yoonho Lee, Alexander Khazatsky, et al.2023 · 481 citations
  26. C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation ModelsarXiv:2305.08322Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu, et al.2023 · 428 citations
  27. Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality MetricsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov2021 · 420 citations
  28. FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPUarXiv:2303.06865Ying Sheng, Lianmin Zheng, Binhang Yuan, et al.2023 · 402 citations
  29. UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-TrainingarXiv:2002.12804Hangbo Bao, Li Dong, Furu Wei, et al.2020 · 395 citations
  30. The GEM Benchmark: Natural Language Generation, its Evaluation and MetricsWorkshop on Generation, Evaluation and Metrics (GEM)Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal, et al.2021 · 369 citations
  31. 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
  32. 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
  33. 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
  34. UL2: Unifying Language Learning ParadigmsarXiv:2205.05131Yi Tay, Mostafa Dehghani, Vinh Q. Tran, et al.2022 · 347 citations
  35. SimCLS: A Simple Framework for Contrastive Learning of Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Liu, Pengfei Liu2021 · 341 citations
  36. 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
  37. Muppet: Massive Multi-task Representations with Pre-FinetuningConference on Empirical Methods in Natural Language Processing (EMNLP)Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, et al.2021 · 307 citations
  38. Can AI-Generated Text be Reliably Detected?arXiv:2303.11156Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, et al.2023 · 306 citations
  39. SPoT: Better Frozen Model Adaptation through Soft Prompt TransferAnnual Meeting of the Association for Computational Linguistics (ACL)Tu Vu, Brian Lester, Noah Constant, et al.2022 · 306 citations
  40. DialogSum: A Real-Life Scenario Dialogue Summarization DatasetFindings of the Association for Computational LinguisticsYulong Chen, Yang Liu, Liang Chen, et al.2021 · 301 citations
  41. Want To Reduce Labeling Cost? GPT-3 Can HelpFindings of the Association for Computational LinguisticsShuohang Wang, Yang Liu, Yichong Xu, et al.2021 · 300 citations
  42. On-Policy Distillation of Language Models: Learning from Self-Generated MistakesarXiv:2306.13649Rishabh Agarwal, Nino Vieillard, Yongchao Zhou, et al.2023 · 299 citations
  43. 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
  44. TRUE: Re-evaluating Factual Consistency EvaluationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Or Honovich, Roee Aharoni, Jonathan Herzig, et al.2022 · 279 citations
  45. A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future DirectionsComputational LinguisticsJunchao Wu, Shu Yang, Runzhe Zhan, et al.2025 · 277 citations
  46. 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
  47. TLDR: Extreme Summarization of Scientific DocumentsFindings of the Association for Computational LinguisticsIsabel Cachola, Kyle Lo, Arman Cohan, et al.2020 · 262 citations
  48. CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Shuyang Cao, Lu Wang2021 · 260 citations
  49. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelarXiv:2402.07827Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 253 citations
  50. Sentence Centrality Revisited for Unsupervised SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Zheng, Mirella Lapata2019 · 251 citations
  51. Trusting Your Evidence: Hallucinate Less with Context-aware DecodingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Weijia Shi, Xiaochuang Han, Mike Lewis, et al.2024 · 249 citations
  52. 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
  53. Detecting Hallucinated Content in Conditional Neural Sequence GenerationFindings of the Association for Computational LinguisticsChunting Zhou, Graham Neubig, Jiatao Gu, et al.2021 · 232 citations
  54. The elephant in the interpretability room: Why use attention as explanation when we have saliency methods?BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLPJasmijn Bastings, Katja Filippova2020 · 219 citations
  55. 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
  56. CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLPConference on Empirical Methods in Natural Language Processing (EMNLP)Qinyuan Ye, Bill Yuchen Lin, Xiang Ren2021 · 210 citations
  57. Towards a Unified Multi-Dimensional Evaluator for Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Ming Zhong, Yang Liu, Da Yin, et al.2022 · 208 citations
  58. 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
  59. A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsFindings of the Association for Computational LinguisticsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 200 citations
  60. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsarXiv:2412.05579Haitao Li, Qian Dong, Junjie Chen, et al.2024 · 195 citations
  61. One Embedder, Any Task: Instruction-Finetuned Text EmbeddingsarXiv:2212.09741Hongjin Su, Weijia Shi, Jungo Kasai, et al.2022 · 193 citations
  62. Compressing Large-Scale Transformer-Based Models: A Case Study on BERTTransactions of the Association for Computational Linguistics (TACL)Prakhar Ganesh, Yao Chen, Xin Lou, et al.2021 · 190 citations
  63. Enhancing Factual Consistency of Abstractive SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chenguang Zhu, William Hinthorn, Ruochen Xu, et al.2021 · 190 citations
  64. Planning with Learned Entity Prompts for Abstractive SummarizationTransactions of the Association for Computational Linguistics (TACL)Shashi Narayan, Yao Zhao, Joshua Maynez, et al.2021 · 180 citations
  65. AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-TuningarXiv:2303.10512Qingru Zhang, Minshuo Chen, Alexander Bukharin, et al.2023 · 173 citations
  66. Generative Representational Instruction TuningarXiv:2402.09906Niklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 172 citations
  67. DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated TextFindings of the Association for Computational LinguisticsJinyan Su, Terry Zhuo, Di Wang, et al.2023 · 172 citations
  68. Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Meng Cao, Yue Dong, Jackie Cheung2022 · 167 citations
  69. Few-Shot Text Generation with Natural Language InstructionsConference on Empirical Methods in Natural Language Processing (EMNLP)Timo Schick, Hinrich Schütze2021 · 167 citations
  70. 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
  71. Can We Automate Scientific Reviewing?Journal of Artificial Intelligence ResearchWeizhe Yuan, Pengfei Liu, Graham Neubig2021 · 165 citations
  72. 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
  73. 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
  74. Reducing Quantity Hallucinations in Abstractive SummarizationFindings of the Association for Computational LinguisticsZheng Zhao, Shay B. Cohen, Bonnie Webber2020 · 157 citations
  75. 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
  76. 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
  77. Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability CurvaturearXiv:2310.05130Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, et al.2023 · 148 citations
  78. Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific ArticlesConference on Empirical Methods in Natural Language Processing (EMNLP)Yao Lu, Yue Dong, Laurent Charlin2020 · 148 citations
  79. Many-Shot In-Context LearningConference on Neural Information Processing Systems (NeurIPS)Rishabh Agarwal, Avi Singh, Lei M. Zhang, et al.2024 · 142 citations
  80. Exploring the Limits of ChatGPT for Query or Aspect-based Text SummarizationarXiv:2302.08081Xianjun Yang, Yan Li, Xinlu Zhang, et al.2023 · 141 citations
  81. IndicBART: A Pre-trained Model for Indic Natural Language GenerationFindings of the Association for Computational LinguisticsRaj Dabre, Himani Shrotriya, Anoop Kunchukuttan, et al.2022 · 141 citations
  82. Paragraph-level Simplification of Medical TextsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ashwin Devaraj, Iain Marshall, Byron Wallace, et al.2021 · 140 citations
  83. SummScreen: A Dataset for Abstractive Screenplay SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Mingda Chen, Zewei Chu, Sam Wiseman, et al.2022 · 136 citations
  84. Task-aware Retrieval with InstructionsFindings of the Association for Computational LinguisticsAkari Asai, Timo Schick, Patrick Lewis, et al.2023 · 132 citations
  85. 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
  86. MAGE: Machine-generated Text Detection in the WildAnnual Meeting of the Association for Computational Linguistics (ACL)Yafu Li, Qintong Li, Leyang Cui, et al.2024 · 129 citations
  87. 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
  88. Time Travel in LLMs: Tracing Data Contamination in Large Language ModelsarXiv:2308.08493Shahriar Golchin, Mihai Surdeanu2023 · 128 citations
  89. Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error DetectorsAnnual Meeting of the Association for Computational Linguistics (ACL)Liyan Tang, Tanya Goyal, Alex Fabbri, et al.2023 · 126 citations
  90. H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language ModelsarXiv:2306.14048Zhenyu Zhang, Ying Sheng, Tianyi Zhou, et al.2023 · 124 citations
  91. Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human EvaluationarXiv:2212.07981Yixin Liu, Alexander R. Fabbri, Pengfei Liu, et al.2022 · 117 citations
  92. MLSUM: The Multilingual Summarization CorpusConference on Empirical Methods in Natural Language Processing (EMNLP)Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, et al.2020 · 115 citations
  93. Break the Sequential Dependency of LLM Inference Using Lookahead DecodingarXiv:2402.02057Yichao Fu, Peter Bailis, Ion Stoica, et al.2024 · 114 citations
  94. LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form SummarizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Kalpesh Krishna, Erin Bransom, Bailey Kuehl, et al.2023 · 114 citations
  95. ExT5: Towards Extreme Multi-Task Scaling for Transfer LearningarXiv:2111.10952Vamsi Aribandi, Yi Tay, Tal Schuster, et al.2021 · 114 citations
  96. DistiLLM: Towards Streamlined Distillation for Large Language ModelsarXiv:2402.03898Jongwoo Ko, Sungnyun Kim, Tianyi Chen, et al.2024 · 112 citations
  97. Don't Make Your LLM an Evaluation Benchmark CheaterarXiv:2311.01964Kun Zhou, Yutao Zhu, Zhipeng Chen, et al.2023 · 112 citations
  98. Unlimiformer: Long-Range Transformers with Unlimited Length InputConference on Neural Information Processing Systems (NeurIPS)Amanda Bertsch, Uri Alon, Graham Neubig, et al.2023 · 111 citations
  99. Multi-Step Reasoning with Large Language Models, a SurveyACM Computing SurveysAske Plaat, Annie Wong, Suzan Verberne, et al.2024 · 106 citations
  100. TrueTeacher: Learning Factual Consistency Evaluation with Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zorik Gekhman, Jonathan Herzig, Roee Aharoni, et al.2023 · 106 citations

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