Zobrazeno 1 - 10
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pro vyhledávání: '"Chang, Chen"'
This study introduces a comprehensive benchmark designed to evaluate the performance of large language models (LLMs) in understanding and processing cultural knowledge, with a specific focus on Hakka culture as a case study. Leveraging Bloom's Taxono
Externí odkaz:
http://arxiv.org/abs/2409.01556
This paper introduces VoxHakka, a text-to-speech (TTS) system designed for Taiwanese Hakka, a critically under-resourced language spoken in Taiwan. Leveraging the YourTTS framework, VoxHakka achieves high naturalness and accuracy and low real-time fa
Externí odkaz:
http://arxiv.org/abs/2409.01548
Autor:
Chang, Chen-Chia, Shen, Yikang, Fan, Shaoze, Li, Jing, Zhang, Shun, Cao, Ningyuan, Chen, Yiran, Zhang, Xin
Publikováno v:
Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6253-6262, 2024
In the realm of electronic and electrical engineering, automation of analog circuit is increasingly vital given the complexity and customized requirements of modern applications. However, existing methods only develop search-based algorithms that req
Externí odkaz:
http://arxiv.org/abs/2407.18269
We investigated the beat-to-beat fluctuation of the photoplethysmography (PPG) waveform. The motivation is that morphology variability extracted from the arterial blood pressure (ABP) has been found to correlate with baseline condition and short-term
Externí odkaz:
http://arxiv.org/abs/2401.00173
Autor:
Tsai, Fu-Jen, Peng, Yan-Tsung, Chang, Chen-Yu, Li, Chan-Yu, Lin, Yen-Yu, Tsai, Chung-Chi, Lin, Chia-Wen
Video restoration is a low-level vision task that seeks to restore clean, sharp videos from quality-degraded frames. One would use the temporal information from adjacent frames to make video restoration successful. Recently, the success of the Transf
Externí odkaz:
http://arxiv.org/abs/2312.14502
Autor:
Zhang, Qijun, Li, Shiyu, Zhou, Guanglei, Pan, Jingyu, Chang, Chen-Chia, Chen, Yiran, Xie, Zhiyao
Publikováno v:
IEEE/ACM International Conference on Computer-Aided Design (ICCAD) 2023
Power efficiency is a critical design objective in modern microprocessor design. To evaluate the impact of architectural-level design decisions, an accurate yet efficient architecture-level power model is desired. However, widely adopted data-indepen
Externí odkaz:
http://arxiv.org/abs/2312.08994
The application of Machine Learning (ML) in Electronic Design Automation (EDA) for Very Large-Scale Integration (VLSI) design has garnered significant research attention. Despite the requirement for extensive datasets to build effective ML models, mo
Externí odkaz:
http://arxiv.org/abs/2312.01674
Autor:
Yifan Li, Aijian Huang, Lingxi Zhou, Bohan Li, Muyun Zheng, Zewen Zhuang, Chang Chen, Chen Chen, Feiyu Kang, Ruitao Lv
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Developing highly active and durable air cathode catalysts is crucial yet challenging for rechargeable zinc-air batteries. Herein, a size-adjustable, flexible, and self-standing carbon membrane catalyst encapsulating adjacent Cu/Na dual-atom
Externí odkaz:
https://doaj.org/article/4cad2b85d80148a9b6003804437dfd36
Autor:
Chang Chen, Ketan A. Ganar, Robbert J. de Haas, Nele Jarnot, Erwin Hogeveen, Renko de Vries, Siddharth Deshpande
Publikováno v:
Communications Chemistry, Vol 7, Iss 1, Pp 1-11 (2024)
Abstract Compartmentalization is a vital aspect of living cells to orchestrate intracellular processes. In a similar vein, constructing dynamic and responsive sub-compartments is key to synthetic cell engineering. In recent years, liquid-liquid phase
Externí odkaz:
https://doaj.org/article/30807c6d68a8445baed61cfd79299700