Zobrazeno 1 - 10
of 30 076
pro vyhledávání: '"P. Chiu"'
Autor:
Nasri, Mahsa, Narayan, Uttkarsh, Sonbudak, Mustafa Feyyaz, Simonson, Aubrey, Chiu, Maria, Donati, Jason, Sivak, Mark, Kosa, Mehmet, Harteveld, Casper
Apprenticeship and training programs in advanced manufacturing frequently encounter safety and accessibility concerns due to using heavy machinery. Virtual Reality (VR) training addresses such constraints while maintaining the spatial and procedural
Externí odkaz:
http://arxiv.org/abs/2411.08859
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
NeKo: Toward Post Recognition Generative Correction Large Language Models with Task-Oriented Experts
Autor:
Lin, Yen-Ting, Yang, Chao-Han Huck, Chen, Zhehuai, Zelasko, Piotr, Yang, Xuesong, Chen, Zih-Ching, Puvvada, Krishna C, Fu, Szu-Wei, Hu, Ke, Chiu, Jun Wei, Balam, Jagadeesh, Ginsburg, Boris, Wang, Yu-Chiang Frank
Construction of a general-purpose post-recognition error corrector poses a crucial question: how can we most effectively train a model on a large mixture of domain datasets? The answer would lie in learning dataset-specific features and digesting the
Externí odkaz:
http://arxiv.org/abs/2411.05945
Autor:
Chiu, Henry
We present a non-probabilistic, path-by-path framework for studying path-dependent (i.e., where weight is a functional of time and historical time-series), long-only portfolio allocation in continuous-time based on [Chiu & Cont '23], where the fundam
Externí odkaz:
http://arxiv.org/abs/2411.05470
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:
Pakkiam, Prasanna, Kumar, N. Pradeep, Chiu, Chun-Ching, Sommers, David, Pletyukhov, Mikhail, Fedorov, Arkady
We experimentally realise the theoretical proposal for in-situ tunable photonic edge states emerging from qubits coupled to a waveguide with a photonic bandgap. These edge states are directional, exhibiting theoretically zero population in the opposi
Externí odkaz:
http://arxiv.org/abs/2411.05271
Autor:
Iqbal, Mohsin, Lyons, Anasuya, Lo, Chiu Fan Bowen, Tantivasadakarn, Nathanan, Dreiling, Joan, Foltz, Cameron, Gatterman, Thomas M., Gresh, Dan, Hewitt, Nathan, Holliman, Craig A., Johansen, Jacob, Neyenhuis, Brian, Matsuoka, Yohei, Mills, Michael, Moses, Steven A., Siegfried, Peter, Vishwanath, Ashvin, Verresen, Ruben, Dreyer, Henrik
The development of programmable quantum devices can be measured by the complexity of manybody states that they are able to prepare. Among the most significant are topologically ordered states of matter, which enable robust quantum information storage
Externí odkaz:
http://arxiv.org/abs/2411.04185
Autor:
Lyons, Anasuya, Lo, Chiu Fan Bowen, Tantivasadakarn, Nathanan, Vishwanath, Ashvin, Verresen, Ruben
Creating and manipulating anyons and symmetry defects in topological phases, especially those with a non-Abelian character, constitutes a primitive for topological quantum computation. We provide a physical protocol for implementing the ribbon operat
Externí odkaz:
http://arxiv.org/abs/2411.04181
Autor:
Belopolski, Ilya, Watanabe, Ryota, Sato, Yuki, Yoshimi, Ryutaro, Kawamura, Minoru, Nagahama, Soma, Zhao, Yilin, Shao, Sen, Jin, Yuanjun, Kato, Yoshihiro, Okamura, Yoshihiro, Zhang, Xiao-Xiao, Fujishiro, Yukako, Takahashi, Youtarou, Hirschberger, Max, Tsukazaki, Atsushi, Takahashi, Kei S., Chiu, Ching-Kai, Chang, Guoqing, Kawasaki, Masashi, Nagaosa, Naoto, Tokura, Yoshinori
Quantum materials governed by emergent topological fermions have become a cornerstone of physics. Dirac fermions in graphene form the basis for moir\'e quantum matter, and Dirac fermions in magnetic topological insulators enabled the discovery of the
Externí odkaz:
http://arxiv.org/abs/2411.04179
Autor:
White, Glenn J., Barrufet, L., Serjeant, S., Pearson, C. P., Sedgwick, C., Pal, S., Shimwell, T. W., Sirothia, S. K., Chiu, P., Oi, N., Takagi, T., Shim, H., Matsuhara, H., Patra, D., Malkan, M., Kim, H. K., Nakagawa, T., Malek, K., Burgarella, D., Ishigaki, T.
This paper presents a 610 MHz radio survey covering 1.94 square degrees around the North Ecliptic Pole (NEP), which includes parts of the AKARI (ADF-N) and Euclid, Deep Fields North. The median 5-sigma sensitivity is 28 microJy beam per beam, reachin
Externí odkaz:
http://arxiv.org/abs/2411.03869