Zobrazeno 1 - 10
of 20 113
pro vyhledávání: '"Wang, Huan"'
Autor:
Liu, Zuxin, Hoang, Thai, Zhang, Jianguo, Zhu, Ming, Lan, Tian, Kokane, Shirley, Tan, Juntao, Yao, Weiran, Liu, Zhiwei, Feng, Yihao, Murthy, Rithesh, Yang, Liangwei, Savarese, Silvio, Niebles, Juan Carlos, Wang, Huan, Heinecke, Shelby, Xiong, Caiming
The advancement of function-calling agent models requires diverse, reliable, and high-quality datasets. This paper presents APIGen, an automated data generation pipeline designed to synthesize verifiable high-quality datasets for function-calling app
Externí odkaz:
http://arxiv.org/abs/2406.18518
Neural networks (NNs) have demonstrated strong capabilities of representing high-dimensional, complex functional relations, and hence have been widely used to characterize complex constitutive relations for various types of materials, such as polycry
Externí odkaz:
http://arxiv.org/abs/2406.16457
We study the inverse problem of Coded Aperture Snapshot Spectral Imaging (CASSI), which captures a spatial-spectral data cube using snapshot 2D measurements and uses algorithms to reconstruct 3D hyperspectral images (HSI). However, current methods ba
Externí odkaz:
http://arxiv.org/abs/2406.12703
Autor:
Murthy, Rithesh, Yang, Liangwei, Tan, Juntao, Awalgaonkar, Tulika Manoj, Zhou, Yilun, Heinecke, Shelby, Desai, Sachin, Wu, Jason, Xu, Ran, Tan, Sarah, Zhang, Jianguo, Liu, Zhiwei, Kokane, Shirley, Liu, Zuxin, Zhu, Ming, Wang, Huan, Xiong, Caiming, Savarese, Silvio
The deployment of Large Language Models (LLMs) and Large Multimodal Models (LMMs) on mobile devices has gained significant attention due to the benefits of enhanced privacy, stability, and personalization. However, the hardware constraints of mobile
Externí odkaz:
http://arxiv.org/abs/2406.10290
Autor:
Yang, Shiqi, Xu, Xiaolong, Gao, Yuchen, Guzman, Roger, Gu, Pingfan, Wang, Huan, Huang, Yuan, Zhou, Wu, Xia, Tianlong, Ye, Yu
The study of the mechanism of exchange bias phenomena and the achievement of its efficient control are of great importance, as it promotes the revelation of unique exchange interactions and the development of exotic applications. However, it is chall
Externí odkaz:
http://arxiv.org/abs/2405.02549
Current training pipelines in object recognition neglect Hue Jittering when doing data augmentation as it not only brings appearance changes that are detrimental to classification, but also the implementation is inefficient in practice. In this study
Externí odkaz:
http://arxiv.org/abs/2403.09506
The interplay between non-trivial topology and strong electron interaction can generate a variety of exotic quantum matter. Here we theoretically propose that monolayer transition metal trihalides MoF$_3$ and W$X_3$ ($X$= Cl, Br, I) have isolated nea
Externí odkaz:
http://arxiv.org/abs/2403.07551
Autor:
Liu, Zhiwei, Yao, Weiran, Zhang, Jianguo, Yang, Liangwei, Liu, Zuxin, Tan, Juntao, Choubey, Prafulla K., Lan, Tian, Wu, Jason, Wang, Huan, Heinecke, Shelby, Xiong, Caiming, Savarese, Silvio
The booming success of LLMs initiates rapid development in LLM agents. Though the foundation of an LLM agent is the generative model, it is critical to devise the optimal reasoning strategies and agent architectures. Accordingly, LLM agent research a
Externí odkaz:
http://arxiv.org/abs/2402.15538
Autor:
Zhang, Jianguo, Lan, Tian, Murthy, Rithesh, Liu, Zhiwei, Yao, Weiran, Tan, Juntao, Hoang, Thai, Yang, Liangwei, Feng, Yihao, Liu, Zuxin, Awalgaonkar, Tulika, Niebles, Juan Carlos, Savarese, Silvio, Heinecke, Shelby, Wang, Huan, Xiong, Caiming
Autonomous agents powered by large language models (LLMs) have garnered significant research attention. However, fully harnessing the potential of LLMs for agent-based tasks presents inherent challenges due to the heterogeneous nature of diverse data
Externí odkaz:
http://arxiv.org/abs/2402.15506
Autor:
Wang, Shiyu, Feng, Yihao, Lan, Tian, Yu, Ning, Bai, Yu, Xu, Ran, Wang, Huan, Xiong, Caiming, Savarese, Silvio
Natural language serves as a common and straightforward control signal for humans to interact seamlessly with machines. Recognizing the importance of this interface, the machine learning community is investing considerable effort in generating data t
Externí odkaz:
http://arxiv.org/abs/2402.10941