Zobrazeno 1 - 10
of 91 848
pro vyhledávání: '"Dongmei An"'
Autor:
Wang, Lu, Yang, Fangkai, Zhang, Chaoyun, Lu, Junting, Qian, Jiaxu, He, Shilin, Zhao, Pu, Qiao, Bo, Huang, Ray, Qin, Si, Su, Qisheng, Ye, Jiayi, Zhang, Yudi, Lou, Jian-Guang, Lin, Qingwei, Rajmohan, Saravan, Zhang, Dongmei, Zhang, Qi
As AI continues to advance, there is a growing demand for systems that go beyond language-based assistance and move toward intelligent agents capable of performing real-world actions. This evolution requires the transition from traditional Large Lang
Externí odkaz:
http://arxiv.org/abs/2412.10047
Over the past decade, parity-time (PT) symmetry and anti-PT (APT) symmetry in various physical systems have been extensively studied, leading to significant experimental and theoretical advancements. However, physical systems that simultaneously exhi
Externí odkaz:
http://arxiv.org/abs/2412.03926
Cross-modal alignment is crucial for multimodal representation fusion due to the inherent heterogeneity between modalities. While Transformer-based methods have shown promising results in modeling inter-modal relationships, their quadratic computatio
Externí odkaz:
http://arxiv.org/abs/2412.00833
Autor:
Zhang, Chaoyun, He, Shilin, Qian, Jiaxu, Li, Bowen, Li, Liqun, Qin, Si, Kang, Yu, Ma, Minghua, Liu, Guyue, Lin, Qingwei, Rajmohan, Saravan, Zhang, Dongmei, Zhang, Qi
GUIs have long been central to human-computer interaction, providing an intuitive and visually-driven way to access and interact with digital systems. The advent of LLMs, particularly multimodal models, has ushered in a new era of GUI automation. The
Externí odkaz:
http://arxiv.org/abs/2411.18279
Recent advances in multimodal models have demonstrated impressive capabilities in object recognition and scene understanding. However, these models often struggle with precise spatial localization - a critical capability for real-world applications.
Externí odkaz:
http://arxiv.org/abs/2411.18270
Autor:
Kan, Zhehan, Zhang, Ce, Liao, Zihan, Tian, Yapeng, Yang, Wenming, Xiao, Junyuan, Li, Xu, Jiang, Dongmei, Wang, Yaowei, Liao, Qingmin
Large Vision-Language Model (LVLM) systems have demonstrated impressive vision-language reasoning capabilities but suffer from pervasive and severe hallucination issues, posing significant risks in critical domains such as healthcare and autonomous s
Externí odkaz:
http://arxiv.org/abs/2411.12713
Autor:
Chen, Yanting, Ren, Yi, Qin, Xiaoting, Zhang, Jue, Yuan, Kehong, Han, Lu, Lin, Qingwei, Zhang, Dongmei, Rajmohan, Saravan, Zhang, Qi
Video recordings of user activities, particularly desktop recordings, offer a rich source of data for understanding user behaviors and automating processes. However, despite advancements in Vision-Language Models (VLMs) and their increasing use in vi
Externí odkaz:
http://arxiv.org/abs/2411.08768
Autor:
Zhang, Jinfang, Li, Yi, Zhao, Mengyu, Han, Dongmei, Liu, Jun, Wang, Meihong, Gong, Qihuang, Xiang, Yu, He, Qiongyi, Su, Xiaolong
Randomness is an essential resource and plays important roles in various applications ranging from cryptography to simulation of complex systems. Certified randomness from quantum process is ensured to have the element of privacy but usually relies o
Externí odkaz:
http://arxiv.org/abs/2411.08441
Autor:
Yousefi, Midia, Qian, Yao, Chen, Junkun, Wang, Gang, Liu, Yanqing, Wang, Dongmei, Wang, Xiaofei, Xue, Jian
End-to-end speech translation (ST), which translates source language speech directly into target language text, has garnered significant attention in recent years. Many ST applications require strict length control to ensure that the translation dura
Externí odkaz:
http://arxiv.org/abs/2411.07387