🧑‍🔬 Who cites Jingqing Zhang

868 citations of their works from 868 papers of our library (of the 149,439 whose bibliographies we read) · 74 with a page here, the most cited first · ← Jingqing Zhang

1. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language ProcessingACM Computing SurveysPengfei Liu, Weizhe Yuan, Jinlan Fu, et al.2021 · 5,423 citations
2. PaLM: Scaling Language Modeling with PathwaysarXiv:2204.02311Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, et al.2022 · 4,753 citations
3. Longformer: The Long-Document TransformerarXiv:2004.05150Iz Beltagy, Matthew E. Peters, Arman Cohan2020 · 3,880 citations
4. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsACM Transactions on Information SystemsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,231 citations
5. TruthfulQA: Measuring How Models Mimic Human FalsehoodsAnnual Meeting of the Association for Computational Linguistics (ACL)Stephanie Lin, Jacob Hilton, Owain Evans2022 · 2,088 citations
6. Pre-trained Models for Natural Language Processing: A SurveyarXiv:2003.08271 · SCIENCE CHINA Technological Sciences,2020, 63, 1872-1897Xipeng Qiu, Tianxiang Sun, Yige Xu, et al.2020 · 1,759 citations
7. 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
8. Big Bird: Transformers for Longer SequencesConference on Neural Information Processing Systems (NeurIPS)Manzil Zaheer, Guru Guruganesh, Avinava Dubey, et al.2020 · 1,023 citations
9. BARTScore: Evaluating Generated Text as Text GenerationarXiv:2106.11520Weizhe Yuan, Graham Neubig, Pengfei Liu2021 · 815 citations
10. 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
11. Document Ranking with a Pretrained Sequence-to-Sequence ModelFindings of the Association for Computational LinguisticsRodrigo Nogueira, Zhiying Jiang, Ronak Pradeep, et al.2020 · 543 citations
12. OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning FrameworkarXiv:2202.03052Peng Wang, An Yang, Rui Men, et al.2022 · 467 citations
13. 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
14. 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
15. 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
16. 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
17. SimCLS: A Simple Framework for Contrastive Learning of Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Liu, Pengfei Liu2021 · 341 citations
18. Efficient Attentions for Long Document SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Luyang Huang, Shuyang Cao, Nikolaus Parulian, et al.2021 · 336 citations
19. 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
20. From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shangbin Feng, Chan Young Park, Yuhan Liu, et al.2023 · 311 citations
21. 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
22. 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
23. TLDR: Extreme Summarization of Scientific DocumentsFindings of the Association for Computational LinguisticsIsabel Cachola, Kyle Lo, Arman Cohan, et al.2020 · 262 citations
24. 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
25. 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
26. Factual Error Correction for Abstractive Summarization ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Meng Cao, Yue Dong, Jiapeng Wu, et al.2020 · 219 citations
27. 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
28. 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
29. PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Wen Xiao, Iz Beltagy, Giuseppe Carenini, et al.2022 · 205 citations
30. CTRLsum: Towards Generic Controllable Text SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Junxian He, Wojciech Kryscinski, Bryan McCann, et al.2022 · 201 citations
31. OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text DocumentsConference on Neural Information Processing Systems (NeurIPS)Hugo Laurençon, Lucile Saulnier, Leo Tronchon, et al.2023 · 197 citations
32. 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
33. 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
34. Few-Shot Text Generation with Natural Language InstructionsConference on Empirical Methods in Natural Language Processing (EMNLP)Timo Schick, Hinrich Schütze2021 · 167 citations
35. ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language GenerationInternational Joint Conference on Artificial IntelligenceDongling Xiao, Han Zhang, Yukun Li, et al.2020 · 163 citations
36. 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
37. ChatGPT as a Factual Inconsistency Evaluator for Text SummarizationarXiv:2303.15621Zheheng Luo, Qianqian Xie, Sophia Ananiadou2023 · 161 citations
38. AnnoLLM: Making Large Language Models to Be Better Crowdsourced AnnotatorsarXiv:2303.16854Xingwei He, Zhenghao Lin, Yeyun Gong, et al.2023 · 152 citations
39. Many-Shot In-Context LearningConference on Neural Information Processing Systems (NeurIPS)Rishabh Agarwal, Avi Singh, Lei M. Zhang, et al.2024 · 142 citations
40. Structure-Aware Abstractive Conversation Summarization via Discourse and Action GraphsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jiaao Chen, Diyi Yang2021 · 135 citations
41. 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
42. Large Language Models are Not Yet Human-Level Evaluators for Abstractive SummarizationFindings of the Association for Computational LinguisticsChenhui Shen, Liying Cheng, Xuan-Phi Nguyen, et al.2023 · 119 citations
43. Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation ExtractorsFindings of the Association for Computational LinguisticsKai Zhang, Bernal Jimenez Gutierrez, Yu Su2023 · 118 citations
44. Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human EvaluationarXiv:2212.07981Yixin Liu, Alexander R. Fabbri, Pengfei Liu, et al.2022 · 117 citations
45. FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)David Wan, Mohit Bansal2022 · 101 citations
46. True Few-Shot Learning with Prompts–-A Real-World PerspectiveTransactions of the Association for Computational Linguistics (TACL)Timo Schick, Hinrich Schütze2022 · 96 citations
47. f-Divergence Minimization for Sequence-Level Knowledge DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Yuqiao Wen, Zichao Li, Wenyu Du, et al.2023 · 92 citations
48. Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable SurveyConference of the European Chapter of the Association for Computational Linguistics (EACL)Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, et al.2023 · 90 citations
49. CoLT5: Faster Long-Range Transformers with Conditional ComputationConference on Empirical Methods in Natural Language Processing (EMNLP)Joshua Ainslie, Tao Lei, Michiel de Jong, et al.2023 · 84 citations
50. ORCA: A Challenging Benchmark for Arabic Language UnderstandingFindings of the Association for Computational LinguisticsAbdelRahim Elmadany, ElMoatez Billah Nagoudi, Muhammad Abdul-Mageed2023 · 83 citations
51. Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language GenerationFindings of the Association for Computational LinguisticsKushal Arora, Layla El Asri, Hareesh Bahuleyan, et al.2022 · 81 citations
52. Lift Yourself Up: Retrieval-augmented Text Generation with Self MemoryConference on Neural Information Processing Systems (NeurIPS)Xin Cheng, Di Luo, Xiuying Chen, et al.2023 · 76 citations
53. Domain Adaptation with Pre-trained Transformers for Query-Focused Abstractive Text SummarizationComputational LinguisticsMd Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang2022 · 76 citations
54. Factually Consistent Summarization via Reinforcement Learning with Textual Entailment FeedbackAnnual Meeting of the Association for Computational Linguistics (ACL)Paul Roit, Johan Ferret, Lior Shani, et al.2023 · 70 citations
55. Knowledge Distillation in Automated Annotation: Supervised Text Classification with LLM-Generated Training LabelsarXiv:2406.17633Nicholas Pangakis, Samuel Wolken2024 · 42 citations
56. Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language ModelsarXiv:2305.09955Shangbin Feng, Weijia Shi, Yuyang Bai, et al.2023 · 35 citations
57. Controllable Summarization with Constrained Markov Decision ProcessTransactions of the Association for Computational Linguistics (TACL)Hou Pong Chan, Lu Wang, Irwin King2021 · 34 citations
58. One Law, Many Languages: Benchmarking Multilingual Legal Reasoning for Judicial SupportarXiv:2306.09237Ronja Stern, Vishvaksenan Rasiah, Veton Matoshi, et al.2023 · 29 citations
59. Empathetic BERT2BERT Conversational Model: Learning Arabic Language Generation with Little DataArabic Natural Language Processing Workshop (WANLP)Tarek Naous, Wissam Antoun, Reem Mahmoud, et al.2021 · 20 citations
60. LexSumm and LexT5: Benchmarking and Modeling Legal Summarization Tasks in EnglishNatural Legal Language Processing WorkshopSantosh T.Y.S.S, Cornelius Weiss, Matthias Grabmair2024 · 16 citations
61. MDCure: A Scalable Pipeline for Multi-Document Instruction-FollowingAnnual Meeting of the Association for Computational Linguistics (ACL)Gabrielle Kaili-May Liu, Bowen Shi, Avi Caciularu, et al.2025 · 11 citations
62. Factual Dialogue Summarization via Learning from Large Language ModelsInternational Conference on Computational Linguistics (COLING)Rongxin Zhu, Jey Han Lau, Jianzhong Qi2025 · 10 citations
63. LANS: Large-scale Arabic News Summarization CorpusArabic Natural Language Processing Conference (ArabicNLP)Abdulaziz Alhamadani, Xuchao Zhang, Jianfeng He, et al.2023 · 7 citations
64. Generating Classical Arabic Poetry using Pre-trained ModelsArabic Natural Language Processing Workshop (WANLP)Maryam ElOraby, Mohamed Abdelgaber, Nehal Elkaref, et al.2022 · 6 citations
65. BitBypass: A New Direction in Jailbreaking Aligned Large Language Models with Bitstream CamouflageFindings of the Association for Computational LinguisticsKalyan Nakka, Nitesh Saxena2026 · 1 citation
66. Fine-Grained Detection of Context-Grounded Hallucinations Using LLMsFindings of the Association for Computational LinguisticsYehonatan Peisakhovsky, Zorik Gekhman, Yosi Mass, et al.2026 · 1 citation
67. Topic-Based Watermarks for Large Language ModelsFindings of the Association for Computational LinguisticsAlexander Nemecek, Yuzhou Jiang, Erman Ayday2026 · 1 citation
68. Beyond Overlap Metrics: Rewarding Reasoning and Preferences for Faithful Multi-Role Dialogue SummarizationFindings of the Association for Computational LinguisticsXiaoyong Mei, Tingting Zuo, Da Chen, et al.2026
69. Comparing Approaches to Automatic Summarization in Less-Resourced LanguagesLanguage Resources and Evaluation Conference (LREC)Chester Palen-Michel, Constantine Lignos2026
70. EpiGator: An Event-based Surveillance System for Infectious Disease OutbreaksLanguage Resources and Evaluation Conference (LREC)Yiheng Wu, Jue Hou, Trangcasanchai Sathianpong, et al.2026
71. Evaluation of Multilingual Text Simplification for the Mental Health Domain: Exploring Small Language ModelsBioNLPOlga Pelloni, Sandra Just, Lars Bongo2026
72. From Query to Counsel: Structured Reasoning with a Multi-Agent Framework and Dataset for Legal ConsultationAnnual Meeting of the Association for Computational Linguistics (ACL)Mingfei Lu, Yi Zhang, Mengjia Wu, et al.2026
73. SWAN: Semantic Watermarking with Abstract Meaning RepresentationAnnual Meeting of the Association for Computational Linguistics (ACL)Ziping Ye, Gourab Dey, Christos Christodoulopoulos, et al.2026
74. Survey on Document-level Neural Machine Translation (文档级神经机器翻译综述)Journal of SoftwareXinglin Lv (吕星林), Junhui Li (李军辉), Shimin Tao (陶仕敏), et al.2024

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