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Who cites «ALBERT: A Lite BERT for Self-supervised Learning of Language Representations»

1,861 papers of our library cite it (of the 149,439 whose bibliographies we read) · 262 with a page here, the most cited first · page 2 of 3 · 101–200 · ← back to «ALBERT: A Lite BERT for Self-supervised Learning of Language Representations»

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  1. COCO-LM: Correcting and Contrasting Text Sequences for Language Model PretrainingarXiv:2102.08473Yu Meng, Chenyan Xiong, Payal Bajaj, et al.2021 · 198 citations
  2. GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via CipherarXiv:2308.06463Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, et al.2023 · 168 citations
  3. CLIMATE-FEVER: A Dataset for Verification of Real-World Climate ClaimsarXiv:2012.00614Thomas Diggelmann, Jordan Boyd-Graber, Jannis Bulian, et al.2020 · 158 citations
  4. Leveraging Large Language Models for Multiple Choice Question AnsweringarXiv:2210.12353Joshua Robinson, Christopher Michael Rytting, David Wingate2022 · 157 citations
  5. CPM: A Large-scale Generative Chinese Pre-trained Language ModelAI OpenZhengyan Zhang, Xu Han, Hao Zhou, et al.2020 · 150 citations
  6. Rethinking embedding coupling in pre-trained language modelsarXiv:2010.12821Hyung Won Chung, Thibault Févry, Henry Tsai, et al.2020 · 142 citations
  7. Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and ApproachesarXiv:1904.01172Shane Storks, Qiaozi Gao, Joyce Y. Chai2019 · 135 citations
  8. I-BERT: Integer-only BERT QuantizationInternational Conference on Machine Learning (ICML)Sehoon Kim, Amir Gholami, Zhewei Yao, et al.2021 · 122 citations
  9. Logical Fallacy DetectionFindings of the Association for Computational LinguisticsZhijing Jin, Abhinav Lalwani, Tejas Vaidhya, et al.2022 · 119 citations
  10. SPARTQA: A Textual Question Answering Benchmark for Spatial ReasoningRoshanak Mirzaee, Hossein Rajaby Faghihi, Qiang Ning, et al.2021 · 95 citations
  11. A Report on the 2020 Sarcasm Detection Shared TaskWorkshop on Figurative Language ProcessingDebanjan Ghosh, Avijit Vajpayee, Smaranda Muresan2020 · 92 citations
  12. ORCA: A Challenging Benchmark for Arabic Language UnderstandingFindings of the Association for Computational LinguisticsAbdelRahim Elmadany, ElMoatez Billah Nagoudi, Muhammad Abdul-Mageed2023 · 83 citations
  13. Survey of Vulnerabilities in Large Language Models Revealed by Adversarial AttacksarXiv:2310.10844Erfan Shayegani, Md Abdullah Al Mamun, Yu Fu, et al.2023 · 83 citations
  14. CBLUE: A Chinese Biomedical Language Understanding Evaluation BenchmarkarXiv:2106.08087Ningyu Zhang, Mosha Chen, Zhen Bi, et al.2021 · 71 citations
  15. CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for ChinesearXiv:2001.04351Liang Xu, Yu tong, Qianqian Dong, et al.2020 · 69 citations
  16. 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
  17. Which Linguist Invented the Lightbulb? Presupposition Verification for Question-AnsweringNajoung Kim, Ellie Pavlick, Burcu Karagol Ayan, et al.2021 · 63 citations
  18. Exploring the Impact of Instruction Data Scaling on Large Language Models: An Empirical Study on Real-World Use CasesarXiv:2303.14742Yunjie Ji, Yong Deng, Yan Gong, et al.2023 · 62 citations
  19. Building a Bridge: A Method for Image-Text Sarcasm Detection Without Pretraining on Image-Text DataProceedings of the First International Workshop on Natural Language Processing Beyond TextXinyu Wang, Xiaowen Sun, Tan Yang, et al.2020 · 62 citations
  20. A Family of Pretrained Transformer Language Models for RussianLanguage Resources and Evaluation Conference (LREC)Dmitry Zmitrovich, Aleksandr Abramov, Andrey Kalmykov, et al.2024 · 60 citations
  21. Puzzle Solving using Reasoning of Large Language Models: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Panagiotis Giadikiaroglou, Maria Lymperaiou, Giorgos Filandrianos, et al.2024 · 48 citations
  22. Language models scale reliably with over-training and on downstream tasksarXiv:2403.08540Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, et al.2024 · 46 citations
  23. Fact Checking with Insufficient EvidenceTransactions of the Association for Computational Linguistics (TACL)Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, et al.2022 · 46 citations
  24. DeepSeek: Paradigm Shifts and Technical Evolution in Large AI ModelsarXiv:2507.09955Luolin Xiong, Haofen Wang, Xi Chen, et al.2025 · 41 citations
  25. DziriBERT: a Pre-trained Language Model for the Algerian DialectarXiv:2109.12346Amine Abdaoui, Mohamed Berrimi, Mourad Oussalah, et al.2021 · 38 citations
  26. 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
  27. One Law, Many Languages: Benchmarking Multilingual Legal Reasoning for Judicial SupportarXiv:2306.09237Ronja Stern, Vishvaksenan Rasiah, Veton Matoshi, et al.2023 · 29 citations
  28. Syntax Role for Neural Semantic Role LabelingComputational LinguisticsZuchao Li, Hai Zhao, Shexia He, et al.2021 · 29 citations
  29. Evaluating ChatGPT and Bard AI on Arabic Sentiment AnalysisArabic Natural Language Processing Conference (ArabicNLP)Abdulmohsen Al-Thubaity, Sakhar Alkhereyf, Hanan Murayshid, et al.2023 · 27 citations
  30. Sentiment Analysis through LLM NegotiationsarXiv:2311.01876Xiaofei Sun, Xiaoya Li, Shengyu Zhang, et al.2023 · 25 citations
  31. Scaling Latent Reasoning via Looped Language ModelsarXiv:2510.25741Rui-Jie Zhu, Zixuan Wang, Kai Hua, et al.2025 · 22 citations
  32. 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
  33. Arabizi Language Models for Sentiment AnalysisInternational Conference on Computational Linguistics (COLING)Gaétan Baert, Souhir Gahbiche, Guillaume Gadek, et al.2020 · 21 citations
  34. An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language ModelsarXiv:2301.09211Saghar Hosseini, Hamid Palangi, Ahmed Hassan Awadallah2023 · 19 citations
  35. A Survey on Automated Sarcasm Detection on TwitterarXiv:2202.02516Bleau Moores, Vijay Mago2022 · 19 citations
  36. SaudiBERT: A Large Language Model Pretrained on Saudi Dialect CorporaarXiv:2405.06239Faisal Qarah2024 · 14 citations
  37. New Arabic Medical Dataset for Diseases ClassificationLecture notes in computer scienceJaafar Hammoud, Aleksandra Vatian, Natalia Dobrenko, et al.2021 · 14 citations

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