Zobrazeno 1 - 10
of 294 205
pro vyhledávání: '"An, Hang"'
In this paper, we propose a new framework for zero-shot object navigation. Existing zero-shot object navigation methods prompt LLM with the text of spatially closed objects, which lacks enough scene context for in-depth reasoning. To better preserve
Externí odkaz:
http://arxiv.org/abs/2410.08189
Autor:
Liu, Songming, Wu, Lingxuan, Li, Bangguo, Tan, Hengkai, Chen, Huayu, Wang, Zhengyi, Xu, Ke, Su, Hang, Zhu, Jun
Bimanual manipulation is essential in robotics, yet developing foundation models is extremely challenging due to the inherent complexity of coordinating two robot arms (leading to multi-modal action distributions) and the scarcity of training data. I
Externí odkaz:
http://arxiv.org/abs/2410.07864
Autor:
Cui, Jiahao, Li, Hui, Yao, Yao, Zhu, Hao, Shang, Hanlin, Cheng, Kaihui, Zhou, Hang, Zhu, Siyu, Wang, Jingdong
Recent advances in latent diffusion-based generative models for portrait image animation, such as Hallo, have achieved impressive results in short-duration video synthesis. In this paper, we present updates to Hallo, introducing several design enhanc
Externí odkaz:
http://arxiv.org/abs/2410.07718
Multi-task learning (MTL) benefits the fine-tuning of large language models (LLMs) by providing a single model with improved performance and generalization ability across tasks, presenting a resource-efficient alternative to developing separate model
Externí odkaz:
http://arxiv.org/abs/2410.06741
Publikováno v:
Mechanical Systems and Signal Processing 218 (2024) 111555
Although granular materials are the second most processed in industry after water, the theoretical study of granules-structure interactions is not as advanced as that of fluid-structure interactions due to the lack of a unified view of the constituti
Externí odkaz:
http://arxiv.org/abs/2410.06609
Recent advancements in Transformer-based large language models (LLMs) have set new standards in natural language processing. However, the classical softmax attention incurs significant computational costs, leading to a $O(T)$ complexity for per-token
Externí odkaz:
http://arxiv.org/abs/2410.06577
$q$-Breathers (QBs) represent a quintessential phenomenon of energy localization, manifesting as stable periodic orbits exponentially localized in normal mode space. Their existence can hinder the thermalization process in nonlinear lattices. In this
Externí odkaz:
http://arxiv.org/abs/2410.06575
Autor:
Zhou, Fang, Huang, Yaning, Liang, Dong, Li, Dai, Zhang, Zhongke, Wang, Kai, Xin, Xiao, Aboelela, Abdallah, Jiang, Zheliang, Wang, Yang, Song, Jeff, Zhang, Wei, Liang, Chen, Li, Huayu, Sun, ChongLin, Yang, Hang, Qu, Lei, Shu, Zhan, Yuan, Mindi, Maccherani, Emanuele, Hayat, Taha, Guo, John, Puvvada, Varna, Pashkevich, Uladzimir
The increasing complexity of deep learning models used for calculating user representations presents significant challenges, particularly with limited computational resources and strict service-level agreements (SLAs). Previous research efforts have
Externí odkaz:
http://arxiv.org/abs/2410.06497
The traffic in cislunar space is expected to increase over the coming years, leading to a higher likelihood of conjunction events among active satellites, orbital debris, and non-cooperative satellites. This increase necessitates enhanced space domai
Externí odkaz:
http://arxiv.org/abs/2410.06425
Autor:
Hossain, Mohammad Tomal, Chen, Hang, Bhatt, Subhash, Kaffash, Mojtaba Taghipour, Xiao, John Q., Sklenar, Joseph, Jungfleisch, M. Benjamin
Synthetic antiferromagnets offer rich magnon energy spectra in which optical and acoustic magnon branches can hybridize. Here, we demonstrate a broken intrinsic symmetry induced coupling of acoustic and optical magnons in a synthetic ferrimagnet cons
Externí odkaz:
http://arxiv.org/abs/2410.06167