UM

Browse/Search Results:  1-6 of 6 Help

Selected(0)Clear Items/Page:    Sort:
Learning A Low-Level Vision Generalist via Visual Task Prompt Conference paper
Chen, Xiangyu, Liu, Yihao, Pu, Yuandong, Zhang, Wenlong, Zhou, Jiantao, Qiao, Yu, Dong, Chao. Learning A Low-Level Vision Generalist via Visual Task Prompt[C]:Association for Computing Machinery, Inc, 2024, 2671-2680.
Authors:  Chen, Xiangyu;  Liu, Yihao;  Pu, Yuandong;  Zhang, Wenlong;  Zhou, Jiantao; et al.
Favorite | TC[Scopus]:0 | Submit date:2024/12/05
General Low-level Vision  Image Restoration And Enhancement  Multi-task Learning  Visual Prompt  
Balancing Privacy and Robustness in Prompt Learning for Large Language Models Journal article
Shi, Chiyu, Su, Junyu, Chu, Chiawei, Wang, Baoping, Feng, Duanyang. Balancing Privacy and Robustness in Prompt Learning for Large Language Models[J]. Mathematics, 2024, 12(21), 3359.
Authors:  Shi, Chiyu;  Su, Junyu;  Chu, Chiawei;  Wang, Baoping;  Feng, Duanyang
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.3/2.2 | Submit date:2024/12/05
Privacy Protextion  Large Language Model  Prompt Learning  
Learning via video: The effects of summarizing strategies and self-explanation prompts. Journal article
Chen Wei, LIN LIJIA, Pang Weiguo. Learning via video: The effects of summarizing strategies and self-explanation prompts.[J]. Education and Information Technologies, 2024.
Authors:  Chen Wei;  LIN LIJIA;  Pang Weiguo
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.8/4.8 | Submit date:2024/08/21
Cognitive Load  Engagement  Learning Via Video  Self-explanation Prompt  Summarizing  
Evaluation of Prompts to Simplify Cardiovascular Disease Information Generated Using a Large Language Model: Cross-Sectional Study Journal article
Mishra, Vishala, Sarraju, Ashish, Kalwani, Neil M., Dexter, Joseph P.. Evaluation of Prompts to Simplify Cardiovascular Disease Information Generated Using a Large Language Model: Cross-Sectional Study[J]. Journal of Medical Internet Research, 2024, 26(1), e55388.
Authors:  Mishra, Vishala;  Sarraju, Ashish;  Kalwani, Neil M.;  Dexter, Joseph P.
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:5.8/6.7 | Submit date:2024/05/16
Artificial Intelligence  Cardiology  Cardiovascular  Chatgpt  Digital Health  Education  Educational  Generative  Gpt  Health Communication  Health Communication  Health Literacy  Heart  Human-in-the-loop  Language Model  Language Models  Large Language Model  Machine Learning  Natural Language Processing  Nlp  Patient-physician Communication  Prevention  Prompt Engineering  
Knowledge Graph-Based Reinforcement Federated Learning for Chinese Question and Answering Journal article
Xu,Liang, Chen,Tao, Hou,Zhaoxiang, Zhang,Weishan, Hon,Chitin, Wang,Xiao, Wang,Di, Chen,Long, Zhu,Wenyin, Tian,Yunlong, Ning,Huansheng, Wang,Fei Yue. Knowledge Graph-Based Reinforcement Federated Learning for Chinese Question and Answering[J]. IEEE Transactions on Computational Social Systems, 2024, 11(1), 1035-1045.
Authors:  Xu,Liang;  Chen,Tao;  Hou,Zhaoxiang;  Zhang,Weishan;  Hon,Chitin; et al.
Favorite | TC[WOS]:3 TC[Scopus]:5  IF:4.5/4.6 | Submit date:2023/08/03
Knowledge Graph  Multitask Semantic Parsing [Msp-bidirectional And Auto-regressive Transformers (Bart)]  Prompt Learning  Question And Answering (q&a)  Reinforcement Federated Learning (Rfl)  
Learning via video: The effects of summarizing strategies and self-explanation prompts Journal article
Chen, Wei, Lin, Lijia, Pang, Weiguo. Learning via video: The effects of summarizing strategies and self-explanation prompts[J]. Education and Information Technologies, 2024.
Authors:  Chen, Wei;  Lin, Lijia;  Pang, Weiguo
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.8/4.8 | Submit date:2024/09/03
Cognitive load  Engagement  Learning via video  Self-explanation prompt  Summarizing