🧑‍🔬 Who cites Xin Tian

271 citations of their works from 267 papers of our library (of the 149,439 whose bibliographies we read) · 58 with a page here, the most cited first · ← Xin Tian

1. RoBERTa: A Robustly Optimized BERT Pretraining ApproacharXiv:1907.11692Yinhan Liu, Myle Ott, Naman Goyal, et al.2019 · 9,837 citations
2. 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
3. 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 · 2,616 citations
4. DeBERTa: Decoding-enhanced BERT with Disentangled AttentionarXiv:2006.03654Pengcheng He, Xiaodong Liu, Jianfeng Gao, et al.2020 · 1,828 citations
5. 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
6. 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
7. 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
8. K-BERT: Enabling Language Representation with Knowledge GraphProceedings of the AAAI Conference on Artificial IntelligenceWeijie Liu, Peng Zhou, Zhe Zhao, et al.2019 · 1,019 citations
9. 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 · 995 citations
10. Revisiting Pre-Trained Models for Chinese Natural Language ProcessingarXiv:2004.13922Yiming Cui, Wanxiang Che, Ting Liu, et al.2020 · 790 citations
11. GLM-130B: An Open Bilingual Pre-trained ModelarXiv:2210.02414Aohan Zeng, Xiao Liu, Zhengxiao Du, et al.2022 · 786 citations
12. 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 · 692 citations
13. A Robustly Optimized BERT Pre-training Approach with Post-trainingChinese National Conference on Computational LinguisticsLiu Zhuang, Lin Wayne, Shi Ya, et al.2021 · 587 citations
14. 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
15. 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 · 383 citations
16. Synthetic QA Corpora Generation with Roundtrip ConsistencyAnnual Meeting of the Association for Computational Linguistics (ACL)Chris Alberti, Daniel Andor, Emily Pitler, et al.2019 · 361 citations
17. 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
18. ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and GenerationarXiv:2107.02137Yu Sun, Shuohuan Wang, Shikun Feng, et al.2021 · 332 citations
19. CLUE: A Chinese Language Understanding Evaluation BenchmarkarXiv:2004.05986Liang Xu, Hai Hu, Xuanwei Zhang, et al.2020 · 244 citations
20. 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
21. 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
22. 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
23. A Review on Language Models as Knowledge BasesarXiv:2204.06031Badr AlKhamissi, Millicent Li, Asli Celikyilmaz, et al.2022 · 150 citations
24. CPM: A Large-scale Generative Chinese Pre-trained Language ModelAI OpenZhengyan Zhang, Xu Han, Hao Zhou, et al.2020 · 150 citations
25. 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
26. 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
27. When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD DatasetarXiv:2104.08671Lucia Zheng, Neel Guha, Brandon R. Anderson, et al.2021 · 134 citations
28. 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
29. 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
30. True Few-Shot Learning with Prompts–-A Real-World PerspectiveTransactions of the Association for Computational Linguistics (TACL)Timo Schick, Hinrich Schütze2022 · 96 citations
31. 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
32. 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
33. FewCLUE: A Chinese Few-shot Learning Evaluation BenchmarkarXiv:2107.07498Liang Xu, Xiaojing Lu, Chenyang Yuan, et al.2021 · 54 citations
34. Parameter-Efficient Fine-Tuning Design SpacesarXiv:2301.01821Jiaao Chen, Aston Zhang, Xingjian Shi, et al.2023 · 47 citations
35. 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
36. SLING: Sino Linguistic Evaluation of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Yixiao Song, Kalpesh Krishna, Rajesh Bhatt, et al.2022 · 41 citations
37. ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document UnderstandingarXiv:2210.06155Qiming Peng, Yinxu Pan, Wenjin Wang, et al.2022 · 40 citations
38. Neural Sarcasm Detection using Conversation ContextWorkshop on Figurative Language ProcessingNikhil Jaiswal2020 · 32 citations
39. The Life Cycle of Knowledge in Big Language Models: A SurveyarXiv:2303.07616 · Machine Intelligence Research. vol. 21, no. 2, pp. 217-238, 2024Boxi Cao, Hongyu Lin, Xianpei Han, et al.2023 · 31 citations
40. Sub-Character Tokenization for Chinese Pretrained Language ModelsTransactions of the Association for Computational Linguistics (TACL)Chenglei Si, Zhengyan Zhang, Yingfa Chen, et al.2023 · 29 citations
41. DuReader_retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search EngineConference on Empirical Methods in Natural Language Processing (EMNLP)Yifu Qiu, Hongyu Li, Yingqi Qu, et al.2022 · 27 citations
42. 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
43. ERNIE-Doc: A Retrospective Long-Document Modeling TransformerarXiv:2012.15688Siyu Ding, Junyuan Shang, Shuohuan Wang, et al.2020 · 27 citations
44. TeleChat Technical ReportarXiv:2401.03804Zhongjiang He, Zihan Wang, Xinzhang Liu, et al.2024 · 24 citations
45. ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language UnderstandingarXiv:2010.12148Dongling Xiao, Yu-Kun Li, Han Zhang, et al.2020 · 22 citations
46. 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
47. 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
48. JABER and SABER: Junior and Senior Arabic BERtarXiv:2112.04329Abbas Ghaddar, Yimeng Wu, Ahmad Rashid, et al.2021 · 16 citations
49. 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
50. DuReader_robust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World ApplicationsarXiv:2004.11142Hongxuan Tang, Hongyu Li, Jing Liu, et al.2020 · 13 citations
51. CLEVA: Chinese Language Models EVAluation PlatformarXiv:2308.04813Yanyang Li, Jianqiao Zhao, Duo Zheng, et al.2023 · 11 citations
52. PanGu-π: Enhancing Language Model Architectures via Nonlinearity CompensationarXiv:2312.17276Yunhe Wang, Hanting Chen, Yehui Tang, et al.2023 · 10 citations
53. 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
54. PanGu-π Pro:Rethinking Optimization and Architecture for Tiny Language ModelsarXiv:2402.02791Yehui Tang, Kai Han, Fangcheng Liu, et al.2024 · 8 citations
55. Unveiling the Deficiencies of Pre-trained Text-and-Layout Models in Real-world Visually-rich Document Information ExtractionFindings of the Association for Computational LinguisticsChong Zhang, Yixi Zhao, Yulu Xie, et al.2026 · 1 citation
56. Aquila2 Technical ReportarXiv:2408.07410Bo-Wen Zhang, Liangdong Wang, Jijie Li, et al.2024 · 1 citation
57. Beyond Ranking: Fine-Grained Diagnostics and Self-Improvement for MLLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Mingze Xu, Zijing Zhao, Qiming Peng, et al.2026
58. Morphology-Aware Multi-Granularity Representation Learning for Agglutinative LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Zhonghao Zhang, Na Liu, Jiajia Ma, et al.2026

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