🧑‍🔬 Who cites Yudong Li

185 citations of their works from 185 papers of our library (of the 149,439 whose bibliographies we read) · 52 with a page here, the most cited first · ← Yudong Li

1. 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
2. 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
3. C-Pack: Packed Resources For General Chinese EmbeddingsInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Shitao Xiao, Zheng Liu, Peitian Zhang, et al.2023 · 922 citations
4. GLM-130B: An Open Bilingual Pre-trained ModelarXiv:2210.02414Aohan Zeng, Xiao Liu, Zhengxiao Du, et al.2022 · 786 citations
5. IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian LanguagesFindings of the Association for Computational LinguisticsDivyanshu Kakwani, Anoop Kunchukuttan, Satish Golla, et al.2020 · 732 citations
6. Crosslingual Generalization through Multitask FinetuningarXiv:2211.01786Niklas Muennighoff, Thomas Wang, Lintang Sutawika, et al.2022 · 703 citations
7. PPT: Pre-trained Prompt Tuning for Few-shot LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxian Gu, Xu Han, Zhiyuan Liu, et al.2022 · 471 citations
8. Kimi k1.5: Scaling Reinforcement Learning with LLMsarXiv:2501.12599Kimi Team, Angang Du, Bofei Gao, et al.2025 · 431 citations
9. 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
10. CMMLU: Measuring massive multitask language understanding in ChinesearXiv:2306.09212Haonan Li, Yixuan Zhang, Fajri Koto, et al.2023 · 387 citations
11. 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
12. IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language UnderstandingConference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)Bryan Wilie, Karissa Vincentio, Genta Indra Winata, et al.2020 · 266 citations
13. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelarXiv:2402.07827Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 253 citations
14. DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code IntelligencearXiv:2406.11931DeepSeek-AI, Qihao Zhu, Daya Guo, et al.2024 · 196 citations
15. PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning OptimizationarXiv:2306.05087Yidong Wang, Zhuohao Yu, Zhengran Zeng, et al.2023 · 194 citations
16. LawBench: Benchmarking Legal Knowledge of Large Language ModelsarXiv:2309.16289Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al.2023 · 186 citations
17. Evaluating Large Language Models: A Comprehensive SurveyarXiv:2310.19736Zishan Guo, Renren Jin, Chuang Liu, et al.2023 · 182 citations
18. ShortGPT: Layers in Large Language Models are More Redundant Than You ExpectarXiv:2403.03853Xin Men, Mingyu Xu, Qingyu Zhang, et al.2024 · 170 citations
19. 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
20. Lawyer LLaMA Technical ReportarXiv:2305.15062Quzhe Huang, Mingxu Tao, Chen Zhang, et al.2023 · 157 citations
21. CPM: A Large-scale Generative Chinese Pre-trained Language ModelAI OpenZhengyan Zhang, Xu Han, Hao Zhou, et al.2020 · 150 citations
22. BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized DataAnnual Meeting of the Association for Computational Linguistics (ACL)Haoyu Song, Yan Wang, Kaiyan Zhang, et al.2021 · 149 citations
23. OCNLI: Original Chinese Natural Language InferencearXiv:2010.05444Hai Hu, Kyle Richardson, Liang Xu, et al.2020 · 148 citations
24. LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal DomainFindings of the Association for Computational LinguisticsJoel Niklaus, Veton Matoshi, Pooja Rani, et al.2023 · 123 citations
25. DeepSeek-V4: Towards Highly Efficient Million-Token Context IntelligencearXiv:2606.19348DeepSeek-AI, Anyi Xu, Bangcai Lin, et al.2026 · 122 citations
26. JGLUE: Japanese General Language Understanding EvaluationLanguage Resources and Evaluation Conference (LREC)Kentaro Kurihara, Daisuke Kawahara, Tomohide Shibata2022 · 90 citations
27. ORCA: A Challenging Benchmark for Arabic Language UnderstandingFindings of the Association for Computational LinguisticsAbdelRahim Elmadany, ElMoatez Billah Nagoudi, Muhammad Abdul-Mageed2023 · 83 citations
28. ScandEval: A Benchmark for Scandinavian Natural Language ProcessingNordic Conference on Computational Linguistics (NoDaLiDa)Dan Nielsen2023 · 73 citations
29. CBLUE: A Chinese Biomedical Language Understanding Evaluation BenchmarkarXiv:2106.08087Ningyu Zhang, Mosha Chen, Zhen Bi, et al.2021 · 71 citations
30. ParsiNLU: A Suite of Language Understanding Challenges for PersianTransactions of the Association for Computational Linguistics (TACL)Daniel Khashabi, Arman Cohan, Siamak Shakeri, et al.2021 · 65 citations
31. 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
32. SuperCLUE: A Comprehensive Chinese Large Language Model BenchmarkarXiv:2307.15020Liang Xu, Anqi Li, Lei Zhu, et al.2023 · 57 citations
33. English Machine Reading Comprehension Datasets: A SurveyDaria Dzendzik, Jennifer Foster, Carl Vogel2021 · 54 citations
34. FewCLUE: A Chinese Few-shot Learning Evaluation BenchmarkarXiv:2107.07498Liang Xu, Xiaojing Lu, Chenyang Yuan, et al.2021 · 54 citations
35. PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous ComputingarXiv:2303.10845Xiaozhe Ren, Pingyi Zhou, Xinfan Meng, et al.2023 · 40 citations
36. 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
37. Compositional Evaluation on Japanese Textual Entailment and SimilarityTransactions of the Association for Computational Linguistics (TACL)Hitomi Yanaka, Koji Mineshima2022 · 33 citations
38. 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
39. ERNIE-Doc: A Retrospective Long-Document Modeling TransformerarXiv:2012.15688Siyu Ding, Junyuan Shang, Shuohuan Wang, et al.2020 · 27 citations
40. Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zihan Wang, Deli Chen, Damai Dai, et al.2024 · 17 citations
41. JABER and SABER: Junior and Senior Arabic BERtarXiv:2112.04329Abbas Ghaddar, Yimeng Wu, Ahmad Rashid, et al.2021 · 16 citations
42. E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language ModelsarXiv:2401.15927Jinchang Hou, Chang Ao, Haihong Wu, et al.2024 · 11 citations
43. CLEVA: Chinese Language Models EVAluation PlatformarXiv:2308.04813Yanyang Li, Jianqiao Zhao, Duo Zheng, et al.2023 · 11 citations
44. Weakly and Semi-Supervised Learning for Arabic Text Classification using Monodialectal Language ModelsArabic Natural Language Processing Workshop (WANLP)Reem AlYami, Rabah Al-Zaidy2022 · 11 citations
45. InternLM-Law: An Open Source Chinese Legal Large Language ModelarXiv:2406.14887Zhiwei Fei, Songyang Zhang, Xiaoyu Shen, et al.2024 · 9 citations
46. PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster OutliersConference of the European Chapter of the Association for Computational Linguistics (EACL)Michael Saxon, Xinyi Wang, Wenda Xu, et al.2023 · 9 citations
47. 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
48. Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUsarXiv:2505.04519Yehui Tang, Yichun Yin, Yaoyuan Wang, et al.2025 · 8 citations
49. Pangu Pro MoE: Mixture of Grouped Experts for Efficient SparsityarXiv:2505.21411Yehui Tang, Xiaosong Li, Fangcheng Liu, et al.2025 · 4 citations
50. MÖVE: A Holistic LLM Benchmark for the German Public SectorarXiv:2606.13111Camilla Dalerci, Thilo Michael, Robin Schaefer, et al.2026 · 1 citation
51. Aquila2 Technical ReportarXiv:2408.07410Bo-Wen Zhang, Liangdong Wang, Jijie Li, et al.2024 · 1 citation
52. RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Jize Wang, Han Wu, Zhiyuan You, et al.2026

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