🔗 Who cites «Attention Is All You Need»16413 papers of our library cite it (of the 140884 whose bibliographies we read) · 993 with a page here, the most cited first · page 1 of 40 · ← the paper
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin, Ming-Wei Chang, Kenton Lee, et al. 2019 · 23 422 citations Transformers: State-of-the-Art Natural Language Processing Thomas Wolf, Lysandre Debut, Victor Sanh, et al. 2020 · 15 591 citations BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension Mike Lewis, Yinhan Liu, Naman Goyal, et al. 2020 · 12 752 citations Language Models are Few-Shot Learners Tom B. Brown, Benjamin Mann, Nick Ryder, et al. 2020 · 10 782 citations Graph Attention Networks Petar Veličkovic, Guillem Cucurull, Arantxa Casanova, et al. 2017 · 8 996 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 Representation Learning with Contrastive Predictive Coding Aaron van den Oord, Yazhe Li, Oriol Vinyals 2018 · 6 826 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 Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers, Iryna Gurevych 2019 · 4 838 citations A Call for Clarity in Reporting BLEU Scores Matt Post 2018 · 4 130 citations Energy and Policy Considerations for Deep Learning in NLP Emma Strubell, Ananya Ganesh, Andrew McCallum 2019 · 4 049 citations fairseq: A Fast, Extensible Toolkit for Sequence Modeling Myle Ott, Sergey Edunov, Alexei Baevski, et al. 2019 · 3 941 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 Training Verifiers to Solve Math Word Problems Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian, et al. 2021 · 3 675 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 Conformer: Convolution-augmented Transformer for Speech Recognition Anmol Gulati, James Qin, Chung-Cheng Chiu, et al. 2020 · 3 433 citations ↑ back to top
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