Zobrazeno 1 - 10
of 442 082
pro vyhledávání: '"Chih A"'
We combine experiments and theoretical derivations to study the evolution of a stretched soap bubble and compare it with an open film to highlight the effect of volume conservation. We identify a critical length for both surfaces, beyond which a bott
Externí odkaz:
http://arxiv.org/abs/2412.17870
Chest X-rays (CXRs) often display various diseases with disparate class frequencies, leading to a long-tailed, multi-label data distribution. In response to this challenge, we explore the Pruned MIMIC-CXR-LT dataset, a curated collection derived from
Externí odkaz:
http://arxiv.org/abs/2411.10746
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
Traditional time series forecasting models mainly rely on historical numeric values to predict future outcomes.While these models have shown promising results, they often overlook the rich information available in other modalities, such as textual de
Externí odkaz:
http://arxiv.org/abs/2411.00929
Autor:
Ripa, Jakub, Dafcikova, Marianna, Kosik, Pavel, Münz, Filip, Ohno, Masanori, Galgoczi, Gabor, Werner, Norbert, Pal, Andras, Meszaros, Laszlo, Csak, Balazs, Fukazawa, Yasushi, Takahashi, Hiromitsu, Mizuno, Tsunefumi, Nakazawa, Kazuhiro, Odaka, Hirokazu, Ichinohe, Yuto, Kapus, Jakub, Hudec, Jan, Frajt, Marcel, Rezenov, Maksim, Daniel, Vladimir, Svoboda, Petr, Dudas, Juraj, Sabol, Martin, Laszlo, Robert, Koleda, Martin, Duriskova, Michaela, Szakszonova, Lea, Kolar, Martin, Husarikova, Nikola, Breuer, Jean-Paul, Hroch, Filip, Vitek, Tomas, Vertat, Ivo, Urbanec, Tomas, Povalac, Ales, Kasal, Miroslav, Hanak, Peter, smelko, Miroslav, Topinka, Martin, Chang, Hsiang-Kuang, Liu, Tsung-Che, Lin, Chih-Hsun, Hu, Chin-Ping, Tsao, Che-Chih
It is well known that silicon photomultipliers (SiPMs) are prone to radiation damage. With the increasing popularity of SiPMs among new spaceborne missions, especially on CubeSats, it is of paramount importance to characterize their performance in sp
Externí odkaz:
http://arxiv.org/abs/2411.00607
Autor:
Chen, Chih-Hsiang, Yaji, Kentaro
Particle flow processing is widely employed across various industrial applications and technologies. Due to the complex interactions between particles and fluids, designing effective devices for particle flow processing is challenging. In this study,
Externí odkaz:
http://arxiv.org/abs/2412.19619
Conformal prediction is a valuable tool for quantifying predictive uncertainty of machine learning models. However, its applicability relies on the assumption of data exchangeability, a condition which is often not met in real-world scenarios. In thi
Externí odkaz:
http://arxiv.org/abs/2412.19318
We conduct a comprehensive analysis of potential annihilation processes of light dark matter (DM) in minimal Higgs portal models near supermassive black hole (Sgr A$^{\star}$) in the Galactic Center, considering interactions between DM particles medi
Externí odkaz:
http://arxiv.org/abs/2412.19292
Autor:
Jiang, Xu-Hui, Lu, Chih-Ting
Leptophilic axion-like particles (ALPs) exhibit rich phenomenology, focusing exclusively on interactions between an ALP and Standard Model (SM) leptons. Through integration by parts, it is shown that both the three-point interaction, $a\bar\ell\ell$
Externí odkaz:
http://arxiv.org/abs/2412.19195