| PaLM: Scaling Language Modeling with Pathways A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ... arXiv preprint arXiv:2204.02311, 2022 | 1551 | 2022 |
| Scaling Instruction-Finetuned Language Models HW Chung, L Hou, S Longpre, B Zoph, Y Tay, W Fedus, E Li, X Wang, ... arXiv preprint arXiv:2210.11416, 2022 | 515 | 2022 |
| BLOOM: A 176B-Parameter Open-Access Multilingual Language Model TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... arXiv preprint arXiv:2211.05100, 2022 | 492 | 2022 |
| Energy consumption in desalinating produced water from shale oil and gas extraction GP Thiel, EW Tow, LD Banchik, HW Chung, JH Lienhard Desalination 366, 94-112, 2015 | 239 | 2015 |
| Adversarial Attacks Against Medical Deep Learning Systems SG Finlayson, HW Chung, IS Kohane, AL Beam arXiv preprint arXiv:1804.05296, 2018 | 235 | 2018 |
| Large Language Models Encode Clinical Knowledge K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung, N Scales, ... arXiv preprint arXiv:2212.13138, 2022 | 164 | 2022 |
| Energy efficiency of permeate gap and novel conductive gap membrane distillation J Swaminathan, HW Chung, DM Warsinger, FA AlMarzooqi, HA Arafat Journal of Membrane Science 502, 171-178, 2016 | 160 | 2016 |
| Energy efficiency of membrane distillation up to high salinity: Evaluating critical system size and optimal membrane thickness J Swaminathan, HW Chung, DM Warsinger Applied energy 211, 715-734, 2018 | 147 | 2018 |
| Membrane distillation model based on heat exchanger theory and configuration comparison J Swaminathan, HW Chung, DM Warsinger Applied Energy 184, 491-505, 2016 | 119 | 2016 |
| Multistage vacuum membrane distillation (MSVMD) systems for high salinity applications HW Chung, J Swaminathan, DM Warsinger Journal of Membrane Science 497, 128-141, 2016 | 116 | 2016 |
| Entropy Generation of Desalination Powered by Variable Temperature Waste Heat DM Warsinger, KH Mistry, KG Nayar, HW Chung, JH Lienhard V Entropy 17 (11), 7530-7566, 2015 | 106 | 2015 |
| Combining air recharging and membrane superhydrophobicity for fouling prevention in membrane distillation DM Warsinger, A Servi, S Van Belleghem, J Gonzalez, J Swaminathan, ... Journal of Membrane Science 505, 241-252, 2016 | 104 | 2016 |
| Rethinking embedding coupling in pre-trained language models HW Chung, T Févry, H Tsai, M Johnson, S Ruder arXiv preprint arXiv:2010.12821, 2020 | 99 | 2020 |
| The Flan Collection: Designing Data and Methods for Effective Instruction Tuning S Longpre, L Hou, T Vu, A Webson, HW Chung, Y Tay, D Zhou, QV Le, ... arXiv preprint arXiv:2301.13688, 2023 | 97 | 2023 |
| UL2: Unifying Language Learning Paradigms DM Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Xavier Garcia, Jason Wei, Xuezhi ... arXiv preprint arXiv:2205.05131, 2022 | 84* | 2022 |
| Charformer: Fast Character Transformers via Gradient-based Subword Tokenization Y Tay, VQ Tran, S Ruder, J Gupta, HW Chung, D Bahri, Z Qin, ... arXiv preprint arXiv:2106.12672, 2021 | 82 | 2021 |
| Do Transformer Modifications Transfer Across Implementations and Applications? S Narang, HW Chung, Y Tay, W Fedus, T Fevry, M Matena, K Malkan, ... arXiv preprint arXiv:2102.11972, 2021 | 70 | 2021 |
| Scaling Up Models and Data with and A Roberts, HW Chung, A Levskaya, G Mishra, J Bradbury, D Andor, ... arXiv preprint arXiv:2203.17189, 2022 | 66 | 2022 |
| Thermodynamic analysis of brine management methods: Zero-discharge desalination and salinity-gradient power production HW Chung, KG Nayar, J Swaminathan, KM Chehayeb Desalination 404, 291-303, 2017 | 66 | 2017 |
| Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers Y Tay, M Dehghani, J Rao, W Fedus, S Abnar, HW Chung, S Narang, ... arXiv preprint arXiv:2109.10686, 2021 | 57 | 2021 |
