🧑‍🔬 Who cites Han Zhang

366 citations of their works from 347 papers of our library (of the 141,840 whose bibliographies we read) · 50 with a page here, the most cited first · ← Han 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 · 5,396 citations
2. PaLM: Scaling Language Modeling with PathwaysarXiv:2204.02311Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, et al.2022 · 4,680 citations
3. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,863 citations
4. SpanBERT: Improving Pre-training by Representing and Predicting SpansTransactions of the Association for Computational Linguistics (TACL)Mandar Joshi, Danqi Chen, Yinhan Liu, et al.2019 · 2,598 citations
5. DeBERTa: Decoding-enhanced BERT with Disentangled AttentionarXiv:2006.03654Pengcheng He, Xiaodong Liu, Jianfeng Gao, et al.2020 · 1,808 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 · 1,753 citations
7. Pre-Training with Whole Word Masking for Chinese BERTIEEE/ACM Transactions on Audio Speech and Language ProcessingYiming Cui, Wanxiang Che, Ting Liu, et al.2019 · 1,490 citations
8. A Comprehensive Overview of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,286 citations
9. K-BERT: Enabling Language Representation with Knowledge GraphProceedings of the AAAI Conference on Artificial IntelligenceWeijie Liu, Peng Zhou, Zhe Zhao, et al.2019 · 1,014 citations
10. ERNIE 2.0: A Continual Pre-training Framework for Language UnderstandingProceedings of the AAAI Conference on Artificial IntelligenceYu Sun, Shuohuan Wang, Yukun Li, et al.2019 · 984 citations
11. GPT-NeoX-20B: An Open-Source Autoregressive Language ModelBigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language ModelsSidney Black, Stella Biderman, Eric Hallahan, et al.2022 · 821 citations
12. Revisiting Pre-Trained Models for Chinese Natural Language ProcessingarXiv:2004.13922Yiming Cui, Wanxiang Che, Ting Liu, et al.2020 · 789 citations
13. GLM-130B: An Open Bilingual Pre-trained ModelarXiv:2210.02414Aohan Zeng, Xiao Liu, Zhengxiao Du, et al.2022 · 779 citations
14. TaBERT: Pretraining for Joint Understanding of Textual and Tabular DataAnnual Meeting of the Association for Computational Linguistics (ACL)Pengcheng Yin, Graham Neubig, Wen-tau Yih, et al.2020 · 690 citations
15. Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language ModelarXiv:2201.11990Shaden Smith, Mostofa Patwary, Brandon Norick, et al.2022 · 602 citations
16. A Robustly Optimized BERT Pre-training Approach with Post-trainingChinese National Conference on Computational LinguisticsLiu Zhuang, Lin Wayne, Shi Ya, et al.2021 · 585 citations
17. OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning FrameworkarXiv:2202.03052Peng Wang, An Yang, Rui Men, et al.2022 · 455 citations
18. The Falcon Series of Open Language ModelsarXiv:2311.16867Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 436 citations
19. FastBERT: a Self-distilling BERT with Adaptive Inference TimeAnnual Meeting of the Association for Computational Linguistics (ACL)Weijie Liu, Peng Zhou, Zhiruo Wang, et al.2020 · 378 citations
20. Synthetic QA Corpora Generation with Roundtrip ConsistencyAnnual Meeting of the Association for Computational Linguistics (ACL)Chris Alberti, Daniel Andor, Emily Pitler, et al.2019 · 355 citations
21. SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Tian, Can Gao, Xinyan Xiao, et al.2020 · 333 citations
22. ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and GenerationarXiv:2107.02137Yu Sun, Shuohuan Wang, Shikun Feng, et al.2021 · 328 citations
23. UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Li, Can Gao, Guocheng Niu, et al.2021 · 299 citations
24. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelarXiv:2402.07827Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 245 citations
25. CLUE: A Chinese Language Understanding Evaluation BenchmarkarXiv:2004.05986Liang Xu, Hai Hu, Xuanwei Zhang, et al.2020 · 243 citations
26. Teaching language models to support answers with verified quotesarXiv:2203.11147Jacob Menick, Maja Trebacz, Vladimir Mikulik, et al.2022 · 213 citations
27. Packed Levitated Marker for Entity and Relation ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Deming Ye, Yankai Lin, Peng Li, et al.2022 · 189 citations
28. 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
29. PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel ComputationarXiv:2104.12369Wei Zeng, Xiaozhe Ren, Teng Su, et al.2021 · 161 citations
30. CPM: A Large-scale Generative Chinese Pre-trained Language ModelAI OpenZhengyan Zhang, Xu Han, Hao Zhou, et al.2020 · 149 citations
31. RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-EncoderConference on Empirical Methods in Natural Language Processing (EMNLP)Shitao Xiao, Zheng Liu, Yingxia Shao, et al.2022 · 145 citations
32. ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yujia Qin, Yankai Lin, Ryuichi Takanobu, et al.2021 · 139 citations
33. Investigating Prior Knowledge for Challenging Chinese Machine Reading ComprehensionTransactions of the Association for Computational Linguistics (TACL)Kai Sun, Dian Yu, Dong Yu, et al.2019 · 133 citations
34. Fanar: An Arabic-Centric Multimodal Generative AI PlatformarXiv:2501.13944Fanar Team: Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, et al.2025 · 127 citations
35. Large Language Model Alignment: A SurveyarXiv:2309.15025Tianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 123 citations
36. Knowledge Enhanced Masked Language Model for Stance DetectionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kornraphop Kawintiranon, Lisa Singh2021 · 119 citations
37. BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual TransferConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Akari Asai, Sneha Kudugunta, Xinyan Yu, et al.2024 · 85 citations
38. POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance DetectionFindings of the Association for Computational LinguisticsYujian Liu, Xinliang Frederick Zhang, David Wegsman, et al.2022 · 70 citations
39. CValues: Measuring the Values of Chinese Large Language Models from Safety to ResponsibilityarXiv:2307.09705Guohai Xu, Jiayi Liu, Ming Yan, et al.2023 · 63 citations
40. Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in EnglishCommunications in computer and information scienceXiangyang Li, Yu Xia, Xiang Long, et al.2021 · 44 citations
41. Neural Sarcasm Detection using Conversation ContextWorkshop on Figurative Language ProcessingNikhil Jaiswal2020 · 32 citations
42. ConnPrompt: Connective-cloze Prompt Learning for Implicit Discourse Relation RecognitionInternational Conference on Computational Linguistics (COLING)Wei Xiang, Zhenglin Wang, Lu Dai, et al.2022 · 21 citations
43. TED-CDB: A Large-Scale Chinese Discourse Relation Dataset on TED TalksConference on Empirical Methods in Natural Language Processing (EMNLP)Wanqiu Long, Bonnie Webber, Deyi Xiong2020 · 21 citations
44. JABER and SABER: Junior and Senior Arabic BERtarXiv:2112.04329Abbas Ghaddar, Yimeng Wu, Ahmad Rashid, et al.2021 · 16 citations
45. X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm DetectionInternational Workshop on Semantic Evaluation (SemEval)Yaqian Han, Yekun Chai, Shuohuan Wang, et al.2022 · 15 citations
46. Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language UnderstandingarXiv:2205.10687Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.2022 · 9 citations
47. Deep Learning Based Code Generation Methods: Literature Review (基于深度学习的代码生成方法研究进展)Journal of SoftwareZezhou Yang (杨泽洲), Sirong Chen (陈思榕), Cuiyun Gao (高翠芸), et al.2023 · 1 citation
48. Survey on Key Technologies for Large Language Model Pre-training Systems (大语言模型预训练系统关键技术综述)Journal of SoftwareYanjie Gao (高彦杰), Yueguo Chen (陈跃国)2025
49. From Foundation Intelligence to General Intelligence: Status and Prospects of Large-Model-Based GenAI and AGI (从基础智能到通用智能: 基于大模型的GenAI和AGI之现状与展望)Acta Automatica Sinica (自动化学报)Qinghai Miao (缪青海), Xingxia Wang (王兴霞), Jing Yang (杨静), et al.2024
50. Questions After ChatGPT: Opportunities and Challenges of Very Large Pre-trained Models (问答ChatGPT之后: 超大预训练模型的机遇和挑战)Acta Automatica Sinica (自动化学报)Jingwei Lu (卢经纬), Chao Guo (郭超), Xingyuan Dai (戴星原), et al.2023

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