Zobrazeno 1 - 10
of 236
pro vyhledávání: '"Li, Shuai"'
Autor:
Zeng, Binglin, Lai, Jialin, Chen, Jingyuan, Huang, Yaxin, Wu, Changjin, Huang, Chao, Guo, Qingxin, Li, Xiaofeng, Li, Shuai, Tang, Jinyao
Self-propelled micromotors can efficiently convert ambient energy into mechanical motion, which is of great interest for its potential biomedical applications in delivering therapeutics noninvasively. However, navigating these micromotors through bio
Externí odkaz:
http://arxiv.org/abs/2406.12522
Autor:
Liu, Xutong, Wang, Siwei, Zuo, Jinhang, Zhong, Han, Wang, Xuchuang, Wang, Zhiyong, Li, Shuai, Hajiesmaili, Mohammad, Lui, John C. S., Chen, Wei
We introduce a novel framework of combinatorial multi-armed bandits (CMAB) with multivariant and probabilistically triggering arms (CMAB-MT), where the outcome of each arm is a $d$-dimensional multivariant random variable and the feedback follows a g
Externí odkaz:
http://arxiv.org/abs/2406.01386
Large language models (LLMs) have demonstrated impressive capabilities in various reasoning tasks, aided by techniques like chain-of-thought (CoT) prompting that elicits verbalized reasoning. However, LLMs often generate text with obvious mistakes an
Externí odkaz:
http://arxiv.org/abs/2405.18711
Autor:
Du, Kounianhua, Chen, Jizheng, Lin, Jianghao, Zhu, Menghui, Chen, Bo, Li, Shuai, Tang, Ruiming
Recommender models play a vital role in various industrial scenarios, while often faced with the catastrophic forgetting problem caused by the fast shifting data distribution, e.g., the evolving user interests, click signals fluctuation during sales
Externí odkaz:
http://arxiv.org/abs/2406.00012
Chain-of-Thought (CoT) has been a widely adopted prompting method, eliciting impressive reasoning abilities of Large Language Models (LLMs). Inspired by the sequential thought structure of CoT, a number of Chain-of-X (CoX) methods have been developed
Externí odkaz:
http://arxiv.org/abs/2404.15676
Autor:
Liu, Chengxu, Wang, Xuan, Xu, Xiangyu, Tian, Ruhao, Li, Shuai, Qian, Xueming, Yang, Ming-Hsuan
Eliminating image blur produced by various kinds of motion has been a challenging problem. Dominant approaches rely heavily on model capacity to remove blurring by reconstructing residual from blurry observation in feature space. These practices not
Externí odkaz:
http://arxiv.org/abs/2404.13153
Publikováno v:
Nat Commun 15, 4250 (2024)
Axion insulators possess a quantized axion field $\theta=\pi$ protected by combined lattice and time-reversal symmetry, holding great potential for device applications in layertronics and quantum computing. Here, we propose a high-spin axion insulato
Externí odkaz:
http://arxiv.org/abs/2404.12345
Large Language Models (LLMs) have shown propensity to generate hallucinated outputs, i.e., texts that are factually incorrect or unsupported. Existing methods for alleviating hallucinations typically require costly human annotations to identify and c
Externí odkaz:
http://arxiv.org/abs/2404.01588
Autor:
Zhu, Jiawen, Chen, Xin, Diao, Haiwen, Li, Shuai, He, Jun-Yan, Li, Chenyang, Luo, Bin, Wang, Dong, Lu, Huchuan
The speed-precision trade-off is a critical problem for visual object tracking which usually requires low latency and deployment on constrained resources. Existing solutions for efficient tracking mainly focus on adopting light-weight backbones or mo
Externí odkaz:
http://arxiv.org/abs/2403.17651
Autor:
Zhang, Beibei, Xiang, Tian, Mao, Chentao, Zheng, Yuhua, Li, Shuai, Niu, Haoyi, Xi, Xiangming, Bai, Wenyuan, Gao, Feng
Time-jerk optimal trajectory planning is crucial in advancing robotic arms' performance in dynamic tasks. Traditional methods rely on solving complex nonlinear programming problems, bringing significant delays in generating optimized trajectories. In
Externí odkaz:
http://arxiv.org/abs/2403.17353