Zobrazeno 1 - 10
of 21 393
pro vyhledávání: '"Liu, Zheng"'
Autor:
Li, Chaofan, Qin, MingHao, Xiao, Shitao, Chen, Jianlyu, Luo, Kun, Shao, Yingxia, Lian, Defu, Liu, Zheng
Large language models (LLMs) with decoder-only architectures demonstrate remarkable in-context learning (ICL) capabilities. This feature enables them to effectively handle both familiar and novel tasks by utilizing examples provided within their inpu
Externí odkaz:
http://arxiv.org/abs/2409.15700
The existing Retrieval-Augmented Generation (RAG) systems face significant challenges in terms of cost and effectiveness. On one hand, they need to encode the lengthy retrieved contexts before responding to the input tasks, which imposes substantial
Externí odkaz:
http://arxiv.org/abs/2409.15699
Although current Multi-modal Large Language Models (MLLMs) demonstrate promising results in video understanding, processing extremely long videos remains an ongoing challenge. Typically, MLLMs struggle with handling thousands of tokens that exceed th
Externí odkaz:
http://arxiv.org/abs/2409.14485
Recently, Floquet topological matter has attracted significant attention for its potential to reveal novel topological phases inaccessible in static systems. In this work, we investigate the effect of a time-periodic driving on the five-dimensional (
Externí odkaz:
http://arxiv.org/abs/2409.14333
Parameter-efficient transfer learning (PETL) has shown great potential in adapting a vision transformer (ViT) pre-trained on large-scale datasets to various downstream tasks. Existing studies primarily focus on minimizing the number of learnable para
Externí odkaz:
http://arxiv.org/abs/2409.13999
Autor:
Song, Ziyin, Yang, A. Z., Jiang, Yi, Fang, Zhong, Yang, Jian, Fang, Chen, Weng, Hongming, Liu, Zheng-Xin
Spin-space groups (SSGs), including the traditional space groups (SGs) and magnetic space groups (MSGs) as subsets, describe the complete symmetries of magnetic materials with weak spin-orbit coupling (SOC). In the present work, we systematically stu
Externí odkaz:
http://arxiv.org/abs/2409.13601
Symmetry protected topology has been studied extensively in the past twenty years, but the topology protected by spin symmetry has just begun to be studied. In this work, based on spin symmetry analysis, we propose that a class of Weyl nodal line sem
Externí odkaz:
http://arxiv.org/abs/2409.12829
Autor:
Xiao, Shitao, Wang, Yueze, Zhou, Junjie, Yuan, Huaying, Xing, Xingrun, Yan, Ruiran, Wang, Shuting, Huang, Tiejun, Liu, Zheng
In this work, we introduce OmniGen, a new diffusion model for unified image generation. Unlike popular diffusion models (e.g., Stable Diffusion), OmniGen no longer requires additional modules such as ControlNet or IP-Adapter to process diverse contro
Externí odkaz:
http://arxiv.org/abs/2409.11340
Point cloud maps with accurate color are crucial in robotics and mapping applications. Existing approaches for producing RGB-colorized maps are primarily based on real-time localization using filter-based estimation or sliding window optimization, wh
Externí odkaz:
http://arxiv.org/abs/2409.10868
Autor:
Zhou, Yujia, Liu, Yan, Li, Xiaoxi, Jin, Jiajie, Qian, Hongjin, Liu, Zheng, Li, Chaozhuo, Dou, Zhicheng, Ho, Tsung-Yi, Yu, Philip S.
Retrieval-Augmented Generation (RAG) has quickly grown into a pivotal paradigm in the development of Large Language Models (LLMs). While much of the current research in this field focuses on performance optimization, particularly in terms of accuracy
Externí odkaz:
http://arxiv.org/abs/2409.10102