Zobrazeno 1 - 10
of 1 003
pro vyhledávání: '"Wu YUHANG"'
Fingerprinting large language models (LLMs) is essential for verifying model ownership, ensuring authenticity, and preventing misuse. Traditional fingerprinting methods often require significant computational overhead or white-box verification access
Externí odkaz:
http://arxiv.org/abs/2410.12318
Autor:
Zhou, Ziya, Wu, Yuhang, Wu, Zhiyue, Zhang, Xinyue, Yuan, Ruibin, Ma, Yinghao, Wang, Lu, Benetos, Emmanouil, Xue, Wei, Guo, Yike
Symbolic Music, akin to language, can be encoded in discrete symbols. Recent research has extended the application of large language models (LLMs) such as GPT-4 and Llama2 to the symbolic music domain including understanding and generation. Yet scant
Externí odkaz:
http://arxiv.org/abs/2407.21531
To overcome these obstacles and improve computational accuracy and efficiency, this paper presents the Randomized Radial Basis Function Neural Network (RRNN), an innovative approach explicitly crafted for solving multiscale elliptic equations. The RR
Externí odkaz:
http://arxiv.org/abs/2407.14745
The issue of hallucinations is a prevalent concern in existing Large Vision-Language Models (LVLMs). Previous efforts have primarily focused on investigating object hallucinations, which can be easily alleviated by introducing object detectors. Howev
Externí odkaz:
http://arxiv.org/abs/2406.16449
Autor:
Wu, Yuhang, Yu, Wenmeng, Cheng, Yean, Wang, Yan, Zhang, Xiaohan, Xu, Jiazheng, Ding, Ming, Dong, Yuxiao
Evaluating the alignment capabilities of large Vision-Language Models (VLMs) is essential for determining their effectiveness as helpful assistants. However, existing benchmarks primarily focus on basic abilities using nonverbal methods, such as yes-
Externí odkaz:
http://arxiv.org/abs/2406.09295
Pre-trained large language models (LLM) have emerged as a powerful tool for simulating various scenarios and generating output given specific instructions and multimodal input. In this work, we analyze the specific use of LLM to enhance a classical s
Externí odkaz:
http://arxiv.org/abs/2405.05445
We provide a preliminary study on utilizing GPU (Graphics Processing Unit) to accelerate computation for three simulation optimization tasks with either first-order or second-order algorithms. Compared to the implementation using only CPU (Central Pr
Externí odkaz:
http://arxiv.org/abs/2404.11631
In this paper, the large time behavior of the solutions for the Cauchy problem to the one-dimensional compressible Navier-Stokes system with the motion of a viscous heat-conducting perfect polytropic gas is investigated.Our result shows that the comb
Externí odkaz:
http://arxiv.org/abs/2403.15663
Autor:
Liu, Jian, Zhang, Sipeng, Kong, Chuixin, Zhang, Wenyuan, Wu, Yuhang, Ding, Yikang, Xu, Borun, Ming, Ruibo, Wei, Donglai, Liu, Xianming
This technical report presents our solution, "occTransformer" for the 3D occupancy prediction track in the autonomous driving challenge at CVPR 2023. Our method builds upon the strong baseline BEVFormer and improves its performance through several si
Externí odkaz:
http://arxiv.org/abs/2402.18140
Autor:
Yuan, Ruibin, Lin, Hanfeng, Wang, Yi, Tian, Zeyue, Wu, Shangda, Shen, Tianhao, Zhang, Ge, Wu, Yuhang, Liu, Cong, Zhou, Ziya, Ma, Ziyang, Xue, Liumeng, Wang, Ziyu, Liu, Qin, Zheng, Tianyu, Li, Yizhi, Ma, Yinghao, Liang, Yiming, Chi, Xiaowei, Liu, Ruibo, Wang, Zili, Li, Pengfei, Wu, Jingcheng, Lin, Chenghua, Liu, Qifeng, Jiang, Tao, Huang, Wenhao, Chen, Wenhu, Benetos, Emmanouil, Fu, Jie, Xia, Gus, Dannenberg, Roger, Xue, Wei, Kang, Shiyin, Guo, Yike
While Large Language Models (LLMs) demonstrate impressive capabilities in text generation, we find that their ability has yet to be generalized to music, humanity's creative language. We introduce ChatMusician, an open-source LLM that integrates intr
Externí odkaz:
http://arxiv.org/abs/2402.16153