4 citations · 5 across the 4 of their papers we have counts for
4 papers
Learning to erase quantum states: thermodynamic implications of quantum learning theory
Haimeng Zhao, Yuzhen Zhang, John Preskill
The energy cost of erasing quantum states depends on our knowledge of the states. We show that learning algorithms can acquire such knowledge to erase many copies of an unknown sta…
Expert-level vision-language foundation model for real-world radiology and comprehensive evaluation
Xiaohong Liu, Guoxing Yang, Yulin Luo +8
Radiology is a vital and complex component of modern clinical workflow and covers many tasks. Recently, vision-language (VL) foundation models in medicine have shown potential in p…
MoVL:Exploring Fusion Strategies for the Domain-Adaptive Application of Pretrained Models in Medical Imaging Tasks
Haijiang Tian, Jingkun Yue, Xiaohong Liu +3
Medical images are often more difficult to acquire than natural images due to the specialism of the equipment and technology, which leads to less medical image datasets. So it is h…
TCM-GPT: Efficient Pre-training of Large Language Models for Domain Adaptation in Traditional Chinese Medicine
Guoxing Yang, Jianyu Shi, Zan Wang +2
Pre-training and fine-tuning have emerged as a promising paradigm across various natural language processing (NLP) tasks. The effectiveness of pretrained large language models (LLM…