Zobrazeno 1 - 10
of 4 072
pro vyhledávání: '"wang, Siqi"'
Autor:
Jiang, Yudong, Xu, Baohan, Yang, Siqian, Yin, Mingyu, Liu, Jing, Xu, Chao, Wang, Siqi, Wu, Yidi, Zhu, Bingwen, Zhang, Xinwen, Zheng, Xingyu, Xu, Jixuan, Zhang, Yue, Hou, Jinlong, Sun, Huyang
Animation has gained significant interest in the recent film and TV industry. Despite the success of advanced video generation models like Sora, Kling, and CogVideoX in generating natural videos, they lack the same effectiveness in handling animation
Externí odkaz:
http://arxiv.org/abs/2412.10255
Publikováno v:
In Proceedings of the 32nd ACM International Conference on Multimedia, pp. 4757-4765 (2024, October)
Industrial parks are critical to urban economic growth. Yet, their development often encounters challenges stemming from imbalances between industrial requirements and urban services, underscoring the need for strategic planning and operations. This
Externí odkaz:
http://arxiv.org/abs/2411.15758
The scaling of large language models (LLMs) is a critical research area for the efficiency and effectiveness of model training and deployment. Our work investigates the transferability and discrepancies of scaling laws between Dense Models and Mixtur
Externí odkaz:
http://arxiv.org/abs/2410.05661
Autor:
Zhu, Yuxuan, Wang, Shiyi, Zhong, Wenqing, Shen, Nianchen, Li, Yunqi, Wang, Siqi, Li, Zhiheng, Wu, Cathy, He, Zhengbing, Li, Li
Artificial intelligence (AI) plays a crucial role in autonomous driving (AD) research, propelling its development towards intelligence and efficiency. Currently, the development of AD technology follows two main technical paths: modularization and en
Externí odkaz:
http://arxiv.org/abs/2409.14165
Autor:
Liu, Jiyuan, Liu, Xinwang, Wang, Siqi, Hu, Xingchen, Liao, Qing, Wan, Xinhang, Zhang, Yi, Lv, Xin, He, Kunlun
Vertical federated learning is a natural and elegant approach to integrate multi-view data vertically partitioned across devices (clients) while preserving their privacies. Apart from the model training, existing methods requires the collaboration of
Externí odkaz:
http://arxiv.org/abs/2409.04111
In e-commerce, the order in which search results are displayed when a customer tries to find relevant listings can significantly impact their shopping experience and search efficiency. Tailored re-ranking system based on relevance and engagement sign
Externí odkaz:
http://arxiv.org/abs/2408.13357
Effective representation of 2D images is fundamental in digital image processing, where traditional methods like raster and vector graphics struggle with sharpness and textural complexity respectively. Current neural fields offer high-fidelity and re
Externí odkaz:
http://arxiv.org/abs/2408.00771
As large language models (LLMs) constantly evolve, ensuring their safety remains a critical research problem. Previous red-teaming approaches for LLM safety have primarily focused on single prompt attacks or goal hijacking. To the best of our knowled
Externí odkaz:
http://arxiv.org/abs/2406.17626
Autor:
Zhang, Zefeng, Sheng, Jiawei, Zhang, Chuang, Liang, Yunzhi, Zhang, Wenyuan, Wang, Siqi, Liu, Tingwen
Multimodal Entity Linking (MEL) aims to link ambiguous mentions in multimodal contexts to entities in a multimodal knowledge graph. A pivotal challenge is to fully leverage multi-element correlations between mentions and entities to bridge modality g
Externí odkaz:
http://arxiv.org/abs/2406.01934
With the rapid development of deep learning, the implementation of intricate algorithms and substantial data processing have become standard elements of deep learning projects. As a result, the code has become progressively complex as the software ev
Externí odkaz:
http://arxiv.org/abs/2405.04861