🧑‍🔬 Who cites Jiaxiang Liu

173 citations of their works from 163 papers of our library (of the 149,439 whose bibliographies we read) · 35 with a page here, the most cited first · ← Jiaxiang Liu

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. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
3. Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyACM Computing SurveysBonan Min, Hayley Ross, Elior Sulem, et al.2021 · 1,556 citations
4. Unifying Large Language Models and Knowledge Graphs: A RoadmapIEEE Transactions on Knowledge and Data EngineeringShirui Pan, Linhao Luo, Yufei Wang, et al.2023 · 1,551 citations
5. A Comprehensive Overview of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,287 citations
6. 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 · 831 citations
7. GLM-130B: An Open Bilingual Pre-trained ModelarXiv:2210.02414Aohan Zeng, Xiao Liu, Zhengxiao Du, et al.2022 · 786 citations
8. Ethical and social risks of harm from Language ModelsarXiv:2112.04359Laura Weidinger, John Mellor, Maribeth Rauh, et al.2021 · 456 citations
9. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
10. xLSTM: Extended Long Short-Term MemoryConference on Neural Information Processing Systems (NeurIPS)Maximilian Beck, Korbinian Pöppel, Markus Spanring, et al.2024 · 296 citations
11. Predictability and Surprise in Large Generative ModelsACM Conference on Fairness, Accountability, and Transparency (FAccT)Deep Ganguli, Danny Hernandez, Liane Lovitt, et al.2022 · 268 citations
12. A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and ValidationArtificial Intelligence ReviewXiaowei Huang, Wenjie Ruan, Wei Huang, et al.2023 · 199 citations
13. MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yilin Wen, Zifeng Wang, Jimeng Sun2024 · 158 citations
14. Humans or LLMs as the Judge? A Study on Judgement BiasConference on Empirical Methods in Natural Language Processing (EMNLP)Guiming Hardy Chen, Shunian Chen, Ziche Liu, et al.2024 · 133 citations
15. Efficient Large Language Models: A SurveyarXiv:2312.03863Zhongwei Wan, Xin Wang, Che Liu, et al.2023 · 110 citations
16. Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Wenxuan Wang, Wenxiang Jiao, Jingyuan Huang, et al.2024 · 96 citations
17. Humans or LLMs as the Judge? A Study on Judgement BiasesarXiv:2402.10669Guiming Hardy Chen, Shunian Chen, Ziche Liu, et al.2024 · 78 citations
18. Multilingual Large Language Model: A Survey of Resources, Taxonomy and FrontiersarXiv:2404.04925Libo Qin, Qiguang Chen, Yuhang Zhou, et al.2024 · 75 citations
19. CValues: Measuring the Values of Chinese Large Language Models from Safety to ResponsibilityarXiv:2307.09705Guohai Xu, Jiayi Liu, Ming Yan, et al.2023 · 64 citations
20. ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and GenerationarXiv:2112.12731Shuohuan Wang, Yu Sun, Yang Xiang, et al.2021 · 63 citations
21. Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language ModelsarXiv:2308.11764Mohamed Elaraby, Mengyin Lu, Jacob Dunn, et al.2023 · 43 citations
22. DeepSeek: Paradigm Shifts and Technical Evolution in Large AI ModelsarXiv:2507.09955Luolin Xiong, Haofen Wang, Xi Chen, et al.2025 · 41 citations
23. PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous ComputingarXiv:2303.10845Xiaozhe Ren, Pingyi Zhou, Xinfan Meng, et al.2023 · 40 citations
24. M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language ModelsarXiv:2305.10263Chuang Liu, Renren Jin, Yuqi Ren, et al.2023 · 34 citations
25. Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language ProcessingConference on Empirical Methods in Natural Language Processing (EMNLP)Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.2022 · 27 citations
26. AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language ProcessingFindings of the Association for Computational LinguisticsAsaad Alghamdi, Xinyu Duan, Wei Jiang, et al.2023 · 21 citations
27. JABER and SABER: Junior and Senior Arabic BERtarXiv:2112.04329Abbas Ghaddar, Yimeng Wu, Ahmad Rashid, et al.2021 · 16 citations
28. Beyond Dialogue: A Profile-Dialogue Alignment Framework Towards General Role-Playing Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Yeyong Yu, Runsheng Yu, Haojie Wei, et al.2025 · 10 citations
29. 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
30. Baichuan Alignment Technical ReportarXiv:2410.14940Mingan Lin, Fan Yang, Yanjun Shen, et al.2024 · 5 citations
31. CARE-CR: Context-Aware Routing and Expert Fusion for Multi-Preference Cognitive RestructuringFindings of the Association for Computational LinguisticsHongzhi Qi, Liangcheng Wang, Yijing YU, et al.2026
32. DuIVRS-2: An LLM-based Interactive Voice Response System for Large-scale POI Attribute AcquisitionAnnual Meeting of the Association for Computational Linguistics (ACL)Le Zhang, Shengming Zhang, Rui Zha, et al.2026
33. 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
34. 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
35. Survey on Commonsense Question Answering (常识问答研究综述)Journal of SoftwareYifan Fan (范怡帆), Bowei Zou (邹博伟), Qingting Xu (徐庆婷), et al.2023

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