Zobrazeno 1 - 10
of 9 285
pro vyhledávání: '"WEI, LAI"'
In dynamic environments, robots often encounter constrained movement trajectories when manipulating objects with specific properties, such as doors. Therefore, applying the appropriate force is crucial to prevent damage to both the robots and the obj
Externí odkaz:
http://arxiv.org/abs/2412.10349
We introduce a novel extension of the contextual bandit problem, where new sets of arms can be requested with stochastic time delays and associated costs. In this setting, the learner can select multiple arms from a decision set, with each selection
Externí odkaz:
http://arxiv.org/abs/2410.13109
Autor:
Wei, Lai, Wang, Wenkai, Shen, Xiaoyu, Xie, Yu, Fan, Zhihao, Zhang, Xiaojin, Wei, Zhongyu, Chen, Wei
In recent advancements, multimodal large language models (MLLMs) have been fine-tuned on specific medical image datasets to address medical visual question answering (Med-VQA) tasks. However, this common approach of task-specific fine-tuning is costl
Externí odkaz:
http://arxiv.org/abs/2410.04521
Autor:
Wei, Lai, Ying, Zhen, He, Muyang, Chen, Yutong, Yang, Qian, Hong, Yanzhe, Lu, Jiaping, Li, Xiaoying, Huang, Weiran, Chen, Ying
Diabetes is a chronic disease that poses a significant global health burden, and optimizing diabetes management requires multi-stakeholder collaboration. Large language models (LLMs) have shown promise in various healthcare scenarios, but their effec
Externí odkaz:
http://arxiv.org/abs/2409.13191
This paper presents a secure wire-line telephone system that employs physical layer security (PLS) to protect against wiretapping. The system generates artificial noise (AN) in both transmission directions and uses a telephone hybrid circuit to effec
Externí odkaz:
http://arxiv.org/abs/2408.13435
Autor:
Zhu, Jiangning, Wang, Zheng, Shen, Zhiyang, Wei, Lai, Tian, Fengyuan, Liu, Mengchen, Liu, Shixia
Matrix reordering permutes the rows and columns of a matrix to reveal meaningful visual patterns, such as blocks that represent clusters. A comprehensive collection of matrices, along with a scoring method for measuring the quality of visual patterns
Externí odkaz:
http://arxiv.org/abs/2408.12169
Autor:
Wei, Lai, Omee, Sadman Sadeed, Dong, Rongzhi, Fu, Nihang, Song, Yuqi, Siriwardane, Edirisuriya M. D., Xu, Meiling, Wolverton, Chris, Hu, Jianjun
Crystal structure prediction (CSP) is now increasingly used in discovering novel materials with applications in diverse industries. However, despite decades of developments and significant progress in this area, there lacks a set of well-defined benc
Externí odkaz:
http://arxiv.org/abs/2407.00733
Large language models (LLMs) have achieved remarkable progress in linguistic tasks, necessitating robust evaluation frameworks to understand their capabilities and limitations. Inspired by Feynman's principle of understanding through creation, we int
Externí odkaz:
http://arxiv.org/abs/2406.06140
Causal discovery aims to uncover cause-and-effect relationships encoded in causal graphs by leveraging observational, interventional data, or their combination. The majority of existing causal discovery methods are developed assuming infinite interve
Externí odkaz:
http://arxiv.org/abs/2405.11548
Computational prediction of stable crystal structures has a profound impact on the large-scale discovery of novel functional materials. However, predicting the crystal structure solely from a material's composition or formula is a promising yet chall
Externí odkaz:
http://arxiv.org/abs/2404.04810