Fetching the paper…
Reading the bibliography…
Large language models (LLMs), such as ChatGPT, have demonstrated impressive capabilities in various tasks and attracted an increasing interest as a natural language interface across many domains.
BLEU: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
Earlier work this paper cites.
ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin · 2004
Earlier work this paper cites.
METEOR: An automatic metric for MT evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie · 2005
Earlier work this paper cites.
Visualizing data using t-SNE
Laurens Van der Maaten and Geoffrey Hinton · 2008
Earlier work this paper cites.
Abdominal CT: comparison of adaptive statistical iterative and filtered back projection reconstruction techniques
Sarabjeet Singh, Mannudeep K Kalra, Jiang Hsieh, Paul E Licato, Synho Do, Homer H Pien, and Michael A Blake · 2010
Earlier work this paper cites.
CIDEr: Consensus-based image description evaluation
Ramakrishna Vedantam, C Lawrence Zitnick, and Devi Parikh · 2015
Earlier work this paper cites.
Deep reinforcement learning from human preferences
Paul F Christiano, Jan Leike, Tom Brown, Miljan Martic, Shane Legg, and Dario Amodei · 2017
Earlier work this paper cites.
Low-dose CT with a residual encoder-decoder convolutional neural network
Hu Chen, Yi Zhang, Mannudeep K Kalra, Feng Lin, Yang Chen, Peixi Liao, Jiliu Zhou, and Ge Wang · 2017
Earlier work this paper cites.
Low-dose CT for the detection and classification of metastatic liver lesions: results of the 2016 low dose CT grand challenge
Cynthia H McCollough, Adam C Bartley, Rickey E Carter, Baiyu Chen, Tammy A Drees, Phillip Edwards, David R Holmes III, Alice E Huang, Farhana Khan, Shuai Leng, et al · 2017
Earlier work this paper cites.
Accurate, large minibatch SGD: Training ImageNet in 1 hour
Priya Goyal et al · 2017
Earlier work this paper cites.
SGDR: Stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2017
Earlier work this paper cites.
Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever, et al · 2018
Earlier work this paper cites.
Low-dose CT image denoising using a generative adversarial network with Wasserstein distance and perceptual loss
Qingsong Yang, Pingkun Yan, Yanbo Zhang, Hengyong Yu, Yongyi Shi, Xuanqin Mou, Mannudeep K Kalra, Yi Zhang, Ling Sun, and Ge Wang · 2018
Earlier work this paper cites.
3-D convolutional encoder-decoder network for low-dose CT via transfer learning from a 2-D trained network
Hongming Shan, Yi Zhang, Qingsong Yang, Uwe Kruger, Mannudeep K Kalra, Ling Sun, Wenxiang Cong, and Ge Wang · 2018
Earlier work this paper cites.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al · 2019
Earlier work this paper cites.
Blind CT image quality assessment via deep learning framework
Qi Gao, Sui Li, Manman Zhu, Danyang Li, Zhaoying Bian, Qingwen Lyu, Dong Zeng, and Jianhua Ma · 2019
Earlier work this paper cites.
Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction
Hongming Shan, Atul Padole, Fatemeh Homayounieh, Uwe Kruger, Ruhani Doda Khera, Chayanin Nitiwarangkul, Mannudeep K Kalra, and Ge Wang · 2019
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
Cited alongside, same era.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2019
Cited alongside, same era.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
Cited alongside, same era.
An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy et al · 2020
Cited alongside, same era.
Sangjoon Park, Eun Sun Lee, Kyung Sook Shin, Jeong Eun Lee, and Jong Chul Ye · 2023
Closest in time.
CT multi-task learning with a large image-text (LIT) model
Chuang Niu and Ge Wang · 2023
Closest in time.
Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential
Qing Lyu, Josh Tan, Michael E Zapadka, Janardhana Ponnatapura, Chuang Niu, Kyle J Myers, Ge Wang, and Christopher T Whitlow · 2023
Closest in time.
Gpt-4 technical report, 2023
OpenAI · 2023
Closest in time.
MiniGPT-4: Enhancing vision-language understanding with advanced large language models
Deyao Zhu, Jun Chen, Xiaoqian Shen, Xiang Li, and Mohamed Elhoseiny · 2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al · 2021
Cited alongside, same era.
PaLM: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al · 2022
Cited alongside, same era.
Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
Cited alongside, same era.
Cardiac CT blooming artifacts: clinical significance, root causes and potential solutions
Jed D Pack, Mufeng Xu, Ge Wang, Lohendran Baskaran, James Min, and Bruno De Man · 2022
Cited alongside, same era.
Deep learning tomographic reconstruction through hierarchical decomposition of domain transforms
Lin Fu and Bruno De Man · 2022
Cited alongside, same era.
Image quality assessment using synthetic images
Pavan C Madhusudana, Neil Birkbeck, Yilin Wang, Balu Adsumilli, and Alan C Bovik · 2022
Cited alongside, same era.
LLaMA: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
Cited alongside, same era.
Closest in time.
Vicuna: An open-source chatbot impressing GPT-4 with 90%* ChatGPT quality
Wei-Lin Chiang, Zhuohan Li, Zi Lin, Ying Sheng, Zhanghao Wu, Hao Zhang, Lianmin Zheng, Siyuan Zhuang, Yonghao Zhuang, Joseph E Gonzalez, et al · 2023
Closest in time.
Survey of methods and principles in three-dimensional reconstruction from two-dimensional medical images
Mriganka Sarmah, Arambam Neelima, and Heisnam Rohen Singh · 2023
Closest in time.
CT image denoising and deblurring with deep learning: Current status and perspectives
Yiming Lei, Chuang Niu, Junping Zhang, Ge Wang, and Hongming Shan · 2023
Closest in time.
Advances in deep learning techniques for biomedical imaging
Chuang Niu and Ge Wang · 2023
Closest in time.
Vision transformer architecture and applications in digital health: a tutorial and survey
Khalid Al-Hammuri, Fayez Gebali, Awos Kanan, and Ilamparithi Thirumarai Chelvan · 2023
Closest in time.
CoreDiff: Contextual error-modulated generalized diffusion model for low-dose CT denoising and generalization
Qi Gao, Zilong Li, Junping Zhang, Yi Zhang, and Hongming Shan · 2023
Closest in time.
ASCON: Anatomy-aware supervised contrastive learning framework for low-dose ct denoising
Zhihao Chen, Qi Gao, Yi Zhang, and Hongming Shan · 2023
Closest in time.
Zhihao Chen, Chuang Niu, Ge Wang, and Hongming Shan · 2023
Closest in time.
CONVIQT: Contrastive video quality estimator
Pavan C Madhusudana, Neil Birkbeck, Yilin Wang, Balu Adsumilli, and Alan C Bovik · 2023
Closest in time.
Exploring CLIP for assessing the look and feel of images
Jianyi Wang, Kelvin CK Chan, and Chen Change Loy · 2023
Closest in time.