🧑‍🔬 Who cites Cong Yu

300 citations of their works from 298 papers of our library (of the 140,884 whose bibliographies we read) · 40 with a page here, the most cited first · ← Cong Yu

1. On the Opportunities and Risks of Foundation ModelsRishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,044 citations
2. Efficient Transformers: A SurveyYi Tay, Mostafa Dehghani, Dara Bahri, et al.2020 · 1,513 citations
3. Pre-Training with Whole Word Masking for Chinese BERTYiming Cui, Wanxiang Che, Ting Liu, et al.2019 · 1,485 citations
4. A Comprehensive Overview of Large Language ModelsHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,286 citations
5. C-Pack: Packed Resources For General Chinese EmbeddingsShitao Xiao, Zheng Liu, Peitian Zhang, et al.2023 · 920 citations
6. GLM-130B: An Open Bilingual Pre-trained ModelAohan Zeng, Xiao Liu, Zhengxiao Du, et al.2022 · 775 citations
7. IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian LanguagesDivyanshu Kakwani, Anoop Kunchukuttan, Satish Golla, et al.2020 · 730 citations
8. Crosslingual Generalization through Multitask FinetuningNiklas Muennighoff, Thomas Wang, Lintang Sutawika, et al.2022 · 692 citations
9. PPT: Pre-trained Prompt Tuning for Few-shot LearningYuxian Gu, Xu Han, Zhiyuan Liu, et al.2022 · 467 citations
10. C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation ModelsYuzhen Huang, Yuzhuo Bai, Zhihao Zhu, et al.2023 · 427 citations
11. Kimi k1.5: Scaling Reinforcement Learning with LLMsKimi Team, Angang Du, Bofei Gao, et al.2025 · 413 citations
12. CMMLU: Measuring massive multitask language understanding in ChineseHaonan Li, Yixuan Zhang, Fajri Koto, et al.2023 · 384 citations
13. UL2: Unifying Language Learning ParadigmsYi Tay, Mostafa Dehghani, Vinh Q. Tran, et al.2022 · 334 citations
14. ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and GenerationYu Sun, Shuohuan Wang, Shikun Feng, et al.2021 · 324 citations
15. Challenges and Applications of Large Language ModelsJean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 300 citations
16. IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language UnderstandingBryan Wilie, Karissa Vincentio, Genta Indra Winata, et al.2020 · 265 citations
17. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelAhmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 245 citations
18. DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code IntelligenceDeepSeek-AI, Qihao Zhu, Daya Guo, et al.2024 · 195 citations
19. PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning OptimizationYidong Wang, Zhuohao Yu, Zhengran Zeng, et al.2023 · 189 citations
20. LawBench: Benchmarking Legal Knowledge of Large Language ModelsZhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al.2023 · 184 citations
21. Evaluating Large Language Models: A Comprehensive SurveyZishan Guo, Renren Jin, Chuang Liu, et al.2023 · 177 citations
22. Lifting the Curse of Multilinguality by Pre-training Modular TransformersJonas Pfeiffer, Naman Goyal, Xi Victoria Lin, et al.2022 · 172 citations
23. ShortGPT: Layers in Large Language Models are More Redundant Than You ExpectXin Men, Mingyu Xu, Qingyu Zhang, et al.2024 · 167 citations
24. Do All Languages Cost the Same? Tokenization in the Era of Commercial Language ModelsOrevaoghene Ahia, Sachin Kumar, Hila Gonen, et al.2023 · 164 citations
25. PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel ComputationWei Zeng, Xiaozhe Ren, Teng Su, et al.2021 · 159 citations
26. Lawyer LLaMA Technical ReportQuzhe Huang, Mingxu Tao, Chen Zhang, et al.2023 · 155 citations
27. LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal DomainJoel Niklaus, Veton Matoshi, Pooja Rani, et al.2023 · 122 citations
28. DeepSeek-V4: Towards Highly Efficient Million-Token Context IntelligenceDeepSeek-AI, Anyi Xu, Bangcai Lin, et al.2026 · 117 citations
29. Tokenizer Choice For LLM Training: Negligible or Crucial?Mehdi Ali, Michael Fromm, Klaudia Thellmann, et al.2024 · 102 citations
30. JGLUE: Japanese General Language Understanding EvaluationKentaro Kurihara, Daisuke Kawahara, Tomohide Shibata2022 · 90 citations
31. Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLPSabrina J. Mielke, Zaid Alyafeai, Elizabeth Salesky, et al.2021 · 89 citations
32. NL-Augmenter: A Framework for Task-Sensitive Natural Language AugmentationKaustubh Dhole, Varun Gangal, Sebastian Gehrmann, et al.2023 · 84 citations
33. The SIGMORPHON 2022 Shared Task on Morpheme SegmentationKhuyagbaatar Batsuren, Gabor Bella, Aryaman Arora2022 · 71 citations
34. Evaluating Various Tokenizers for Arabic Text ClassificationZaid Alyafeai, Maged S. Al-shaibani, Mustafa Ghaleb, et al.2021 · 66 citations
35. English Machine Reading Comprehension Datasets: A SurveyDaria Dzendzik, Jennifer Foster, Carl Vogel2021 · 53 citations
36. JABER and SABER: Junior and Senior Arabic BERtAbbas Ghaddar, Yimeng Wu, Ahmad Rashid, et al.2021 · 16 citations
37. Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language UnderstandingAbbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.2022 · 9 citations
38. Explicit Morphological Knowledge Improves Pre-training of Language Models for HebrewEylon Gueta, Omer Goldman, Reut Tsarfaty2023 · 7 citations
39. Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language ModelsMohamed Taher Alrefaie, Nour Eldin Morsy, Nada Samir2024 · 5 citations
40. The Impact of Tokenization Algorithms on Hungarian Language Model PerformanceMátyás Osváth, Máté Norbert Molnár, Roland Gunics, et al.2026

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