🔗 Who cites «BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding»23422 papers of our library cite it (of the 140884 whose bibliographies we read) · 1500 with a page here, the most cited first · page 1 of 60 · ← the paper
End-to-End Object Detection with Transformers Nicolas Carion, Francisco Massa, Gabriel Synnaeve, et al. 2020 · 16 761 citations Transformers: State-of-the-Art Natural Language Processing Thomas Wolf, Lysandre Debut, Victor Sanh, et al. 2020 · 15 591 citations Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He, Haoqi Fan, Yuxin Wu, et al. 2019 · 13 143 citations Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason Wei, Xuezhi Wang, Dale Schuurmans, et al. 2022 · 11 278 citations Language Models are Few-Shot Learners Tom B. Brown, Benjamin Mann, Nick Ryder, et al. 2020 · 10 782 citations Learning Transferable Visual Models From Natural Language Supervision Alec Radford, Jong Wook Kim, Chris Hallacy, et al. 2021 · 8 295 citations BioBERT: a pre-trained biomedical language representation model for biomedical text mining Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, et al. 2019 · 8 281 citations Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel, Noam Shazeer, Adam Roberts, et al. 2019 · 7 433 citations ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education Enkelejda Kasneci, Kathrin Seßler, Stefan Küchemann, et al. 2023 · 7 429 citations LoRA: Low-Rank Adaptation of Large Language Models Edward J. Hu, Yelong Shen, Phillip Wallis, et al. 2021 · 5 972 citations Survey of Hallucination in Natural Language Generation Ziwei Ji, Nayeon Lee, Rita Frieske, et al. 2022 · 5 947 citations Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron, Hugo Touvron, Ishan Misra, et al. 2021 · 5 910 citations LLaMA: Open and Efficient Foundation Language Models Hugo Touvron, Thibaut Lavril, Gautier Izacard, et al. 2023 · 5 609 citations Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing Pengfei Liu, Weizhe Yuan, Jinlan Fu, et al. 2021 · 5 375 citations Dense Passage Retrieval for Open-Domain Question Answering Vladimir Karpukhin, Barlas Oguz, Sewon Min, et al. 2020 · 5 370 citations Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers, Iryna Gurevych 2019 · 4 838 citations Energy and Policy Considerations for Deep Learning in NLP Emma Strubell, Ananya Ganesh, Andrew McCallum 2019 · 4 049 citations SimCSE: Simple Contrastive Learning of Sentence Embeddings Tianyu Gao, Xingcheng Yao, Danqi Chen 2021 · 3 921 citations Large language models are zero-shot reasoners Takeshi Kojima, Shixiang Shane Gu, Machel Reid, et al. 2022 · 3 780 citations XLNet: Generalized Autoregressive Pretraining for Language Understanding Zhilin Yang, Zihang Dai, Yiming Yang, et al. 2019 · 3 740 citations A Survey on Evaluation of Large Language Models Yupeng Chang, Xu Wang, Jindong Wang, et al. 2023 · 3 640 citations SciBERT: A Pretrained Language Model for Scientific Text Iz Beltagy, Kyle Lo, Arman Cohan 2019 · 3 548 citations Measuring Massive Multitask Language Understanding Dan Hendrycks, Collin Burns, Steven Basart, et al. 2020 · 3 489 citations HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units Wei-Ning Hsu, Benjamin Bolte, Yao-Hung Hubert Tsai, et al. 2021 · 3 441 citations A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions Lei Huang, Weijiang Yu, Weitao Ma, et al. 2023 · 3 221 citations ↑ back to top
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