Zobrazeno 1 - 10
of 58 330
pro vyhledávání: '"Tseng P"'
Publikováno v:
Diabetes, Metabolic Syndrome and Obesity, Vol Volume 15, Pp 1031-1039 (2022)
Po-Chang Tseng,1,2 Ping-Yi Lin,3,4 Wen-Miin Liang,5 Wen-Yu Lin,1,6 Hsien-Wen Kuo1,7 1Institute of Environmental and Occupational Health Sciences, National Yang Ming Chao Tung University, Taipei, Taiwan; 2Health Promotion Administration, Ministry of H
Externí odkaz:
https://doaj.org/article/7f6c3be5c8c14f69b47628620ee67b9a
Publikováno v:
Journal of Inflammation Research, Vol Volume 15, Pp 1717-1728 (2022)
Rahmat Dani Satria,1– 4,* Ming-Kai Jhan,4,5,* Chia-Ling Chen,6 Po-Chun Tseng,4,7 Yung-Ting Wang,4 Chiou-Feng Lin4,5,7 1International Ph.D. Program in Medicine, College of Medicine, Taipei Medical University, Taipei, 110, Taiwan; 2Department
Externí odkaz:
https://doaj.org/article/c81bbeccd87445469bd00cc020d314e6
Publikováno v:
Journal of Pain Research, Vol Volume 15, Pp 455-463 (2022)
Wen-Yu Lin,1,2 Ching-Lan Yang,3 Wei-Ping Huang,1 Po-Chang Tseng,1,4 Hsien-Wen Kuo1,5 1Institute of Environmental and Occupational Health Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan; 2Taiwan’s Environmental Protection Agency,
Externí odkaz:
https://doaj.org/article/a9fe7036d3e4404390bf7e76672212f5
Publikováno v:
Psychology Research and Behavior Management, Vol Volume 14, Pp 2093-2101 (2021)
Po-Chang Tseng,1,2 Ping-Yi Lin,3,4 Wen-Miin Liang,5 Wen-Yu Lin,1,6 Hsien-Wen Kuo1,7 1Institute of Environmental and Occupational Health Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan; 2Health Promotion Administration, Ministry of
Externí odkaz:
https://doaj.org/article/984179bc3ade40e08ef3dacd80386f03
Publikováno v:
Journal of Inflammation Research, Vol Volume 14, Pp 5241-5249 (2021)
Chun-Yi Lai,1,2,* Po-Chun Tseng,1,2,* Chia-Ling Chen,3 Rahmat Dani Satria,2,4– 6 Yung-Ting Wang,2 Chiou-Feng Lin1,2,7,8 1Core Laboratory of Immune Monitoring, Office of Research & Development, Taipei Medical University, Taipei, 110, Taiwan;
Externí odkaz:
https://doaj.org/article/1993b2cf2ff04421bec75a5df2295b0c
Autor:
Yang, Chih-Kai, Fu, Yu-Kuan, Li, Chen-An, Lin, Yi-Cheng, Lin, Yu-Xiang, Chen, Wei-Chih, Chung, Ho Lam, Kuan, Chun-Yi, Huang, Wei-Ping, Lu, Ke-Han, Lin, Tzu-Quan, Wang, Hsiu-Hsuan, Hu, En-Pei, Hsu, Chan-Jan, Tseng, Liang-Hsuan, Chiu, I-Hsiang, Sanga, Ulin, Chen, Xuanjun, Hsu, Po-chun, Yang, Shu-wen, Lee, Hung-yi
This technical report presents our initial attempt to build a spoken large language model (LLM) for Taiwanese Mandarin, specifically tailored to enable real-time, speech-to-speech interaction in multi-turn conversations. Our end-to-end model incorpor
Externí odkaz:
http://arxiv.org/abs/2411.07111
Autor:
Huang, Chien-yu, Chen, Wei-Chih, Yang, Shu-wen, Liu, Andy T., Li, Chen-An, Lin, Yu-Xiang, Tseng, Wei-Cheng, Diwan, Anuj, Shih, Yi-Jen, Shi, Jiatong, Chen, William, Chen, Xuanjun, Hsiao, Chi-Yuan, Peng, Puyuan, Wang, Shih-Heng, Kuan, Chun-Yi, Lu, Ke-Han, Chang, Kai-Wei, Yang, Chih-Kai, Ritter-Gutierrez, Fabian, Chuang, Ming To, Huang, Kuan-Po, Arora, Siddhant, Lin, You-Kuan, Yeo, Eunjung, Chang, Kalvin, Chien, Chung-Ming, Choi, Kwanghee, Hsieh, Cheng-Hsiu, Lin, Yi-Cheng, Yu, Chee-En, Chiu, I-Hsiang, Guimarães, Heitor R., Han, Jionghao, Lin, Tzu-Quan, Lin, Tzu-Yuan, Chang, Homu, Chang, Ting-Wu, Chen, Chun Wei, Chen, Shou-Jen, Chen, Yu-Hua, Cheng, Hsi-Chun, Dhawan, Kunal, Fang, Jia-Lin, Fang, Shi-Xin, Chiang, Kuan-Yu Fang, Fu, Chi An, Hsiao, Hsien-Fu, Hsu, Ching Yu, Huang, Shao-Syuan, Wei, Lee Chen, Lin, Hsi-Che, Lin, Hsuan-Hao, Lin, Hsuan-Ting, Lin, Jian-Ren, Liu, Ting-Chun, Lu, Li-Chun, Pai, Tsung-Min, Pasad, Ankita, Kuan, Shih-Yun Shan, Shon, Suwon, Tang, Yuxun, Tsai, Yun-Shao, Wei, Jui-Chiang, Wei, Tzu-Chieh, Wu, Chengxi, Wu, Dien-Ruei, Yang, Chao-Han Huck, Yang, Chieh-Chi, Yip, Jia Qi, Yuan, Shao-Xiang, Noroozi, Vahid, Chen, Zhehuai, Wu, Haibin, Livescu, Karen, Harwath, David, Watanabe, Shinji, Lee, Hung-yi
Multimodal foundation models, such as Gemini and ChatGPT, have revolutionized human-machine interactions by seamlessly integrating various forms of data. Developing a universal spoken language model that comprehends a wide range of natural language i
Externí odkaz:
http://arxiv.org/abs/2411.05361
Autor:
Syamkumar, Anand, Tseng, Nora, Barron, Kaycie, Yang, Shanglin, Karumbaiah, Shamya, Uppal, Rheeya, Hu, Junjie
Large language models (LLMs) offer promise in generating educational content, providing instructor feedback, and reducing teacher workload on assessments. While prior studies have focused on studying LLM-powered learning analytics, limited research h
Externí odkaz:
http://arxiv.org/abs/2411.04308
Autor:
Tseng, Angelina, Kalaycioglu, Sean
This paper presents an innovative solution to the issue of infrastructure deterioration in the U.S., where a significant portion of facilities are in poor condition, and over 130,000 steel bridges have exceeded their lifespan. Aging steel structures
Externí odkaz:
http://arxiv.org/abs/2411.02651
Autor:
Chen, Keyu, Fei, Cheng, Bi, Ziqian, Liu, Junyu, Peng, Benji, Zhang, Sen, Pan, Xuanhe, Xu, Jiawei, Wang, Jinlang, Yin, Caitlyn Heqi, Zhang, Yichao, Feng, Pohsun, Wen, Yizhu, Wang, Tianyang, Li, Ming, Ren, Jintao, Niu, Qian, Chen, Silin, Hsieh, Weiche, Yan, Lawrence K. Q., Liang, Chia Xin, Xu, Han, Tseng, Hong-Ming, Song, Xinyuan, Liu, Ming
With a focus on natural language processing (NLP) and the role of large language models (LLMs), we explore the intersection of machine learning, deep learning, and artificial intelligence. As artificial intelligence continues to revolutionize fields
Externí odkaz:
http://arxiv.org/abs/2411.05026