Zobrazeno 1 - 10
of 54 446
pro vyhledávání: '"See, A."'
Large Language Models (LLMs) have become indispensable in numerous real-world applications. Unfortunately, fine-tuning these models at scale, especially in federated settings where data privacy and communication efficiency are critical, presents sign
Externí odkaz:
http://arxiv.org/abs/2409.06277
Multi-organ diseases present significant challenges due to their simultaneous impact on multiple organ systems, necessitating complex and adaptive treatment strategies. Despite recent advancements in AI-powered healthcare decision support systems, ex
Externí odkaz:
http://arxiv.org/abs/2409.04224
With the rising focus on quadrupeds, a generalized policy capable of handling different robot models and sensory inputs will be highly beneficial. Although several methods have been proposed to address different morphologies, it remains a challenge f
Externí odkaz:
http://arxiv.org/abs/2409.03332
Autor:
Hu, Zhiyuan, Liu, Yuliang, Zhao, Jinman, Wang, Suyuchen, Wang, Yan, Shen, Wei, Gu, Qing, Luu, Anh Tuan, Ng, See-Kiong, Jiang, Zhiwei, Hooi, Bryan
Large language models (LLMs) face significant challenges in handling long-context tasks because of their limited effective context window size during pretraining, which restricts their ability to generalize over extended sequences. Meanwhile, extendi
Externí odkaz:
http://arxiv.org/abs/2409.00509
Autor:
Dobney, C. P., Nasir, A., See, P., Ford, C. J. B., Griffiths, J. P., Chen, C., Ritchie, D. A., Kataoka, M.
Publikováno v:
Semicond. Sci. Technol. 38 065001 (2023)
We have fabricated a device which includes two lateral p-n junctions on an n-type GaAs/Al$_{0.33}$Ga$_{0.67}$As heterostructure. A section of the n-type material has been converted to p-type by removing dopants and applying a voltage to a gate placed
Externí odkaz:
http://arxiv.org/abs/2408.08423
Autor:
Bin, Yi, Shi, Wenhao, Ding, Yujuan, Hu, Zhiqiang, Wang, Zheng, Yang, Yang, Ng, See-Kiong, Shen, Heng Tao
Artwork analysis is important and fundamental skill for art appreciation, which could enrich personal aesthetic sensibility and facilitate the critical thinking ability. Understanding artworks is challenging due to its subjective nature, diverse inte
Externí odkaz:
http://arxiv.org/abs/2408.00491
Cross-modal coherence modeling is essential for intelligent systems to help them organize and structure information, thereby understanding and creating content of the physical world coherently like human-beings. Previous work on cross-modal coherence
Externí odkaz:
http://arxiv.org/abs/2408.00305
Autor:
Gao, Jialin, Ong, Bill, Lwi, Darld, Ng, Zhen Hao, Yee, Xun Wei, Mak, Mun-Thye, Ng, Wee Siong, Ng, See-Kiong, Teo, Hui Ying, Khoo, Victor, Bökman, Georg, Edstedt, Johan, Brodt, Kirill, Boittiaux, Clémentin, Ferrera, Maxime, Konev, Stepan
Publikováno v:
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence Demo Track (2024) 8661-8664
Research in 3D mapping is crucial for smart city applications, yet the cost of acquiring 3D data often hinders progress. Visual localization, particularly monocular camera position estimation, offers a solution by determining the camera's pose solely
Externí odkaz:
http://arxiv.org/abs/2407.18590
Remarkable advancements in the recolorization of Neural Radiance Fields (NeRF) have simplified the process of modifying NeRF's color attributes. Yet, with the potential of NeRF to serve as shareable digital assets, there's a concern that malicious us
Externí odkaz:
http://arxiv.org/abs/2407.13390
Autor:
Zhou, Xingzhi, Dong, Xin, Li, Chunhao, Bai, Yuning, Xu, Yulong, Cheung, Ka Chun, See, Simon, Song, Xinpeng, Zhang, Runshun, Zhou, Xuezhong, Zhang, Nevin L.
Traditional Chinese medicine (TCM) relies on specific combinations of herbs in prescriptions to treat symptoms and signs, a practice that spans thousands of years. Predicting TCM prescriptions presents a fascinating technical challenge with practical
Externí odkaz:
http://arxiv.org/abs/2407.10510