🧑🔬 Who cites Greg Diamos428 citations of their works from 388 papers of our library (of the 140 884 whose bibliographies we read) · 53 with a page here, the most cited first · page 1 of 3 · ← Greg Diamos
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 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 LLaMA: Open and Efficient Foundation Language Models Hugo Touvron, Thibaut Lavril, Gautier Izacard, et al. 2023 · 5 609 citations mixup: Beyond Empirical Risk Minimization Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin, et al. 2017 · 4 803 citations SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition Daniel S. Park, William Chan, Yu Zhang, et al. 2019 · 3 802 citations On the Opportunities and Risks of Foundation Models Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al. 2021 · 3 044 citations Robust Speech Recognition via Large-Scale Weak Supervision Alec Radford, Jong Wook Kim, Tao Xu, et al. 2022 · 2 497 citations Deep Speech 2: End-to-End Speech Recognition in English and Mandarin Dario Amodei, Rishita Anubhai, Eric Battenberg, et al. 2015 · 2 302 citations Unsupervised Data Augmentation for Consistency Training Qizhe Xie, Zihang Dai, Eduard Hovy, et al. 2019 · 1 837 citations Scaling Laws for Neural Language Models Jared Kaplan, Sam McCandlish, Tom Henighan, et al. 2020 · 1 814 citations Attention-Based Models for Speech Recognition Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, et al. 2015 · 1 776 citations Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al. 2022 · 1 695 citations Layer Normalization Jimmy Lei Ba, Jamie Ryan Kiros, Geoffrey E. Hinton 2016 · 1 587 citations Reproducible scaling laws for contrastive language-image learning Mehdi Cherti, Romain Beaumont, Ross Wightman, et al. 2022 · 750 citations Common Voice: A Massively-Multilingual Speech Corpus Rosana Ardila, Megan Branson, Kelly Davis, et al. 2019 · 733 citations Triton: An Intermediate Language and Compiler for Tiled Neural Network Computations Philippe Tillet, H. T. Kung, David Cox 2019 · 728 citations Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges Naveen Arivazhagan, Ankur Bapna, Orhan Firat, et al. 2019 · 555 citations Deep Learning Scaling is Predictable, Empirically Joel Hestness, Sharan Narang, Newsha Ardalani, et al. 2017 · 497 citations GLaM: Efficient Scaling of Language Models with Mixture-of-Experts Nan Du, Yanping Huang, Andrew M. Dai, et al. 2021 · 474 citations The Falcon Series of Open Language Models Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al. 2023 · 436 citations Are Emergent Abilities of Large Language Models a Mirage? Rylan Schaeffer, Brando Miranda, Sanmi Koyejo 2023 · 323 citations Challenges and Applications of Large Language Models Jean Kaddour, Joshua Harris, Maximilian Mozes, et al. 2023 · 300 citations SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation Xinyi Wang, Hieu Pham, Zihang Dai, et al. 2018 · 287 citations Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Bradley Brown, Jordan Juravsky, Ryan Ehrlich, et al. 2024 · 241 citations ↑ back to top
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