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Large language models (LLMs) have shown remarkable effectiveness across various domains, with data augmentation methods utilizing GPT for synthetic data generation becoming prevalent. However, the quality and utility of augmented data remain question
Externí odkaz:
http://arxiv.org/abs/2412.14809
Autor:
Wang, Tianyang, Liu, Ming, Peng, Benji, Song, Xinyuan, Zhang, Charles, Sun, Xintian, Niu, Qian, Liu, Junyu, Chen, Silin, Chen, Keyu, Li, Ming, Feng, Pohsun, Bi, Ziqian, Wang, Yunze, Zhang, Yichao, Fei, Cheng, Yan, Lawrence KQ
Clinical trials are an indispensable part of the drug development process, bridging the gap between basic research and clinical application. During the development of new drugs, clinical trials are used not only to evaluate the safety and efficacy of
Externí odkaz:
http://arxiv.org/abs/2412.09378
Autor:
Wang, Tianyang, Bi, Ziqian, Zhang, Yichao, Liu, Ming, Hsieh, Weiche, Feng, Pohsun, Yan, Lawrence K. Q., Wen, Yizhu, Peng, Benji, Liu, Junyu, Chen, Keyu, Zhang, Sen, Li, Ming, Jiang, Chuanqi, Song, Xinyuan, Yang, Junjie, Jing, Bowen, Ren, Jintao, Song, Junhao, Tseng, Hong-Ming, Chen, Silin, Wang, Yunze, Liang, Chia Xin, Xu, Jiawei, Pan, Xuanhe, Wang, Jinlang, Niu, Qian
Deep learning has transformed AI applications but faces critical security challenges, including adversarial attacks, data poisoning, model theft, and privacy leakage. This survey examines these vulnerabilities, detailing their mechanisms and impact o
Externí odkaz:
http://arxiv.org/abs/2412.08969
Finite-size scaling (FSS) for a critical phase transition ($t=0$) states that within a window of size $|t|\sim L^{-1/\nu}$, the scaling behavior of any observable $Q$ in a system of linear size $L$ asymptotically follows a scaling form as $Q(t,L)=L^{
Externí odkaz:
http://arxiv.org/abs/2412.06228
Autor:
Cen, Qizhuang, Guan, Shanhong, Jiao, Dongdong, Hao, Tengfei, Yao, X. Steve, Dai, Yitang, Li, Ming
An optoelectronic oscillator (OEO) incorporating a feedback loop is proposed for generating ultra-narrow linewidth light. This OEO not only generates a low-noise optical oscillation that effectively isolates the phase fluctuations from the pump laser
Externí odkaz:
http://arxiv.org/abs/2412.02490
Autor:
Hsieh, Weiche, Bi, Ziqian, Chen, Keyu, Peng, Benji, Zhang, Sen, Xu, Jiawei, Wang, Jinlang, Yin, Caitlyn Heqi, Zhang, Yichao, Feng, Pohsun, Wen, Yizhu, Wang, Tianyang, Li, Ming, Liang, Chia Xin, Ren, Jintao, Niu, Qian, Chen, Silin, Yan, Lawrence K. Q., Xu, Han, Tseng, Hong-Ming, Song, Xinyuan, Jing, Bowen, Yang, Junjie, Song, Junhao, Liu, Junyu, Liu, Ming
Advancements in artificial intelligence, machine learning, and deep learning have catalyzed the transformation of big data analytics and management into pivotal domains for research and application. This work explores the theoretical foundations, met
Externí odkaz:
http://arxiv.org/abs/2412.02187
Autor:
Liu, Shaoyu, Li, Jianing, Zhao, Guanghui, Zhang, Yunjian, Meng, Xin, Yu, Fei Richard, Ji, Xiangyang, Li, Ming
Event cameras record visual information as asynchronous pixel change streams, excelling at scene perception under unsatisfactory lighting or high-dynamic conditions. Existing multimodal large language models (MLLMs) concentrate on natural RGB images,
Externí odkaz:
http://arxiv.org/abs/2412.00832
Autor:
Hsieh, Weiche, Bi, Ziqian, Jiang, Chuanqi, Liu, Junyu, Peng, Benji, Zhang, Sen, Pan, Xuanhe, Xu, Jiawei, Wang, Jinlang, Chen, Keyu, Feng, Pohsun, Wen, Yizhu, Song, Xinyuan, Wang, Tianyang, Liu, Ming, Yang, Junjie, Li, Ming, Jing, Bowen, Ren, Jintao, Song, Junhao, Tseng, Hong-Ming, Zhang, Yichao, Yan, Lawrence K. Q., Niu, Qian, Chen, Silin, Wang, Yunze, Liang, Chia Xin
Explainable Artificial Intelligence (XAI) addresses the growing need for transparency and interpretability in AI systems, enabling trust and accountability in decision-making processes. This book offers a comprehensive guide to XAI, bridging foundati
Externí odkaz:
http://arxiv.org/abs/2412.00800
Autor:
Liu, Fang, Ji, Xiao-Bin, Sun, Sheng-Sen, Liu, Huai-Min, Fang, Shuang-Shi, Li, Xiao-Ling, Chen, Tong, Wang, Xin-Nan, Li, Ming-Run, Wang, Liang-Liang, Wu, Ling-Hui, Yuan, Ye, Zhang, Yao, Zhu, Wen-Jing
Using $(10087 \pm 44) \times 10^6$ $J/\psi$ events collected with the BESIII detector in 2009, 2012, 2018 and 2019, the tracking efficiency of charged pions is studied using the decay $J/\psi \rightarrow \pi^+ \pi^- \pi^0$. The systematic uncertainty
Externí odkaz:
http://arxiv.org/abs/2412.00469