Zobrazeno 1 - 10
of 12 573
pro vyhledávání: '"Yida, An"'
Autor:
Ni, Chaojun, Zhao, Guosheng, Wang, Xiaofeng, Zhu, Zheng, Qin, Wenkang, Huang, Guan, Liu, Chen, Chen, Yuyin, Wang, Yida, Zhang, Xueyang, Zhan, Yifei, Zhan, Kun, Jia, Peng, Lang, Xianpeng, Wang, Xingang, Mei, Wenjun
Closed-loop simulation is crucial for end-to-end autonomous driving. Existing sensor simulation methods (e.g., NeRF and 3DGS) reconstruct driving scenes based on conditions that closely mirror training data distributions. However, these methods strug
Externí odkaz:
http://arxiv.org/abs/2411.19548
Autor:
Pan, Rui, Wang, Zhuang, Jia, Zhen, Karakus, Can, Zancato, Luca, Dao, Tri, Netravali, Ravi, Wang, Yida
Hybrid models that combine the language modeling capabilities of Attention layers with the efficiency of Recurrent layers (e.g., State Space Models) have gained traction in practically supporting long contexts in Large Language Model serving. Yet, th
Externí odkaz:
http://arxiv.org/abs/2411.19379
Autor:
Jia, Xiaojun, Huang, Yihao, Liu, Yang, Tan, Peng Yan, Yau, Weng Kuan, Mak, Mun-Thye, Sim, Xin Ming, Ng, Wee Siong, Ng, See Kiong, Liu, Hanqing, Zhou, Lifeng, Yan, Huanqian, Sun, Xiaobing, Liu, Wei, Wang, Long, Qian, Yiming, Liu, Yong, Yang, Junxiao, Zhang, Zhexin, Lei, Leqi, Chen, Renmiao, Lu, Yida, Cui, Shiyao, Wang, Zizhou, Li, Shaohua, Wang, Yan, Goh, Rick Siow Mong, Zhen, Liangli, Zhang, Yingjie, Zhao, Zhe
This paper introduces the Global Challenge for Safe and Secure Large Language Models (LLMs), a pioneering initiative organized by AI Singapore (AISG) and the CyberSG R&D Programme Office (CRPO) to foster the development of advanced defense mechanisms
Externí odkaz:
http://arxiv.org/abs/2411.14502
Clinical rationales play a pivotal role in accurate disease diagnosis; however, many models predominantly use discriminative methods and overlook the importance of generating supportive rationales. Rationale distillation is a process that transfers k
Externí odkaz:
http://arxiv.org/abs/2411.07611
Autor:
Chen, Anthony, Xu, Jianjin, Zheng, Wenzhao, Dai, Gaole, Wang, Yida, Zhang, Renrui, Wang, Haofan, Zhang, Shanghang
Diffusion models have demonstrated excellent capabilities in text-to-image generation. Their semantic understanding (i.e., prompt following) ability has also been greatly improved with large language models (e.g., T5, Llama). However, existing models
Externí odkaz:
http://arxiv.org/abs/2411.02395
Autor:
Zhang, Boyuan, Fang, Bo, Ye, Fanjiang, Gu, Yida, Tallent, Nathan, Tan, Guangming, Tao, Dingwen
Full-state quantum circuit simulation requires exponentially increased memory size to store the state vector as the number of qubits scales, presenting significant limitations in classical computing systems. Our paper introduces BMQSim, a novel state
Externí odkaz:
http://arxiv.org/abs/2410.14088
Molecular optimization (MO) is a crucial stage in drug discovery in which task-oriented generated molecules are optimized to meet practical industrial requirements. Existing mainstream MO approaches primarily utilize external property predictors to g
Externí odkaz:
http://arxiv.org/abs/2410.13597
Autor:
Zhao, Guosheng, Ni, Chaojun, Wang, Xiaofeng, Zhu, Zheng, Zhang, Xueyang, Wang, Yida, Huang, Guan, Chen, Xinze, Wang, Boyuan, Zhang, Youyi, Mei, Wenjun, Wang, Xingang
Closed-loop simulation is essential for advancing end-to-end autonomous driving systems. Contemporary sensor simulation methods, such as NeRF and 3DGS, rely predominantly on conditions closely aligned with training data distributions, which are large
Externí odkaz:
http://arxiv.org/abs/2410.13571
Recently, Large Language Models (LLMs) have achieved remarkable success using in-context learning (ICL) in the language domain. However, leveraging the ICL capabilities within LLMs to directly predict robot actions remains largely unexplored. In this
Externí odkaz:
http://arxiv.org/abs/2410.12782
Data-serialization libraries are essential tools in software development, responsible for converting between programmable data structures and data persistence formats. Among them, JSON is the most popular choice for exchanging data between different
Externí odkaz:
http://arxiv.org/abs/2410.09414