Zobrazeno 1 - 10
of 3 807 985
pro vyhledávání: '"A. P. LI"'
A safe and efficient decision-making system is crucial for autonomous vehicles. However, the complexity of driving environments limit the effectiveness of many rule-based and machine learning-based decision-making approaches. The introduction of Rein
Externí odkaz:
http://arxiv.org/abs/2410.14468
Autor:
Xu, Yuming, Liang, Hengyu, Li, Jin, Xu, Shuotao, Chen, Qi, Zhang, Qianxi, Li, Cheng, Yang, Ziyue, Yang, Fan, Yang, Yuqing, Cheng, Peng, Yang, Mao
Approximate Nearest Neighbor Search (ANNS) is now widely used in various applications, ranging from information retrieval, question answering, and recommendation, to search for similar high-dimensional vectors. As the amount of vector data grows cont
Externí odkaz:
http://arxiv.org/abs/2410.14452
Autor:
Wang, Zhibin, Li, Shipeng, Zhou, Yuhang, Li, Xue, Gu, Rong, Cam-Tu, Nguyen, Tian, Chen, Zhong, Sheng
Large language models (LLMs) have achieved remarkable performance and are widely deployed in various applications, while the serving of LLM inference has raised concerns about user experience and serving throughput. Accordingly, service level objecti
Externí odkaz:
http://arxiv.org/abs/2410.14257
The rapid development of large language models (LLMs), like ChatGPT, has resulted in the widespread presence of LLM-generated content on social media platforms, raising concerns about misinformation, data biases, and privacy violations, which can und
Externí odkaz:
http://arxiv.org/abs/2410.14259
Autor:
Zhou, Zi-Min, Wang, Xiang-Gao, Liang, En-Wei, Cao, Jia-Xin, Liu, Hui-Ya, Li, Cheng-Kui, Li, Bing, Lin, Da-Bin, Zheng, Tian-Ci, Lu, Rui-Jing
Publikováno v:
2024, apj, 972, 190.
Power Density Spectrum (PDS) is one of the powerful tools to study light curves of gamma-ray bursts (GRBs). We show the average PDS and individual PDS analysis with {\it Hard X-ray Modulation Telescope} (also named \insighthxmt) GRBs data. The values
Externí odkaz:
http://arxiv.org/abs/2410.14119
Recently, a class of Gauss-Bonnet extended Starobinsky gravity was proposed, allowing black holes to carry ghost-free massive scalar hair for the first time without requiring additional matter fields. This intriguing feature offers a new perspective
Externí odkaz:
http://arxiv.org/abs/2410.14108
Translating text that contains entity names is a challenging task, as cultural-related references can vary significantly across languages. These variations may also be caused by transcreation, an adaptation process that entails more than transliterat
Externí odkaz:
http://arxiv.org/abs/2410.14057
Autor:
Huang, Jiatan, Li, Mingchen, Yao, Zonghai, Yang, Zhichao, Xiao, Yongkang, Ouyang, Feiyun, Li, Xiaohan, Han, Shuo, Yu, Hong
Answering complex real-world questions often requires accurate retrieval from textual knowledge graphs (TKGs). The scarcity of annotated data, along with intricate topological structures, makes this task particularly challenging. As the nature of rel
Externí odkaz:
http://arxiv.org/abs/2410.13987
Autor:
Fan, Lijie, Li, Tianhong, Qin, Siyang, Li, Yuanzhen, Sun, Chen, Rubinstein, Michael, Sun, Deqing, He, Kaiming, Tian, Yonglong
Scaling up autoregressive models in vision has not proven as beneficial as in large language models. In this work, we investigate this scaling problem in the context of text-to-image generation, focusing on two critical factors: whether models use di
Externí odkaz:
http://arxiv.org/abs/2410.13863
Autor:
Fang, Rongyao, Duan, Chengqi, Wang, Kun, Li, Hao, Tian, Hao, Zeng, Xingyu, Zhao, Rui, Dai, Jifeng, Li, Hongsheng, Liu, Xihui
Recent advancements in multimodal foundation models have yielded significant progress in vision-language understanding. Initial attempts have also explored the potential of multimodal large language models (MLLMs) for visual content generation. Howev
Externí odkaz:
http://arxiv.org/abs/2410.13861