Zobrazeno 1 - 10
of 5 560
pro vyhledávání: '"He,Xiang"'
Autor:
Wake, Alan, Chen, Bei, Lv, C. X., Li, Chao, Huang, Chengen, Cai, Chenglin, Zheng, Chujie, Cooper, Daniel, Zhou, Fan, Hu, Feng, Wang, Guoyin, Ji, Heng, Qiu, Howard, Zhu, Jiangcheng, Tian, Jun, Su, Katherine, Zhang, Lihuan, Li, Liying, Song, Ming, Li, Mou, Liu, Peng, Hu, Qicheng, Wang, Shawn, Zhou, Shijun, Yang, Shiming, Li, Shiyong, Zhu, Tianhang, Xie, Wen, He, Xiang, Chen, Xiaobo, Hu, Xiaohui, Ren, Xiaoyi, Niu, Xinyao, Li, Yanpeng, Zhao, Yongke, Luo, Yongzhen, Xu, Yuchi, Sha, Yuxuan, Yan, Zhaodong, Liu, Zhiyuan, Zhang, Zirui, Dai, Zonghong
This technical report presents Yi-Lightning, our latest flagship large language model (LLM). It achieves exceptional performance, ranking 6th overall on Chatbot Arena, with particularly strong results (2nd to 4th place) in specialized categories incl
Externí odkaz:
http://arxiv.org/abs/2412.01253
Large Language Models (LLMs) remain vulnerable to jailbreak attacks that bypass their safety mechanisms. Existing attack methods are fixed or specifically tailored for certain models and cannot flexibly adjust attack strength, which is critical for g
Externí odkaz:
http://arxiv.org/abs/2410.04190
As large language models (LLMs) become integral to various applications, ensuring both their safety and utility is paramount. Jailbreak attacks, which manipulate LLMs into generating harmful content, pose significant challenges to this balance. Exist
Externí odkaz:
http://arxiv.org/abs/2410.02298
Integer Quadratic Programming (IQP) is an important problem in operations research. Local search is a powerful method for solving hard problems, but the research on local search algorithms for IQP solving is still on its early stage. This paper devel
Externí odkaz:
http://arxiv.org/abs/2409.19668
Human beings often experience stress, which can significantly influence their performance. This study explores whether Large Language Models (LLMs) exhibit stress responses similar to those of humans and whether their performance fluctuates under dif
Externí odkaz:
http://arxiv.org/abs/2409.17167
Autor:
He, Xiang, Liu, Xiangxi, Li, Yang, Zhao, Dongcheng, Shen, Guobin, Kong, Qingqun, Yang, Xin, Zeng, Yi
The audio-visual event localization task requires identifying concurrent visual and auditory events from unconstrained videos within a network model, locating them, and classifying their category. The efficient extraction and integration of audio and
Externí odkaz:
http://arxiv.org/abs/2408.01952
MaxSAT modulo theories (MaxSMT) is an important generalization of Satisfiability modulo theories (SMT) with various applications. In this paper, we focus on MaxSMT with the background theory of Linear Integer Arithmetic, denoted as MaxSMT(LIA). We de
Externí odkaz:
http://arxiv.org/abs/2406.15782
Spike-based neuromorphic hardware has demonstrated substantial potential in low energy consumption and efficient inference. However, the direct training of deep spiking neural networks is challenging, and conversion-based methods still require substa
Externí odkaz:
http://arxiv.org/abs/2406.05371
Dynamic Vision Sensors (DVS) capture event data with high temporal resolution and low power consumption, presenting a more efficient solution for visual processing in dynamic and real-time scenarios compared to conventional video capture methods. Eve
Externí odkaz:
http://arxiv.org/abs/2405.18880
Autor:
Shen, Guobin, Zhao, Dongcheng, He, Xiang, Feng, Linghao, Dong, Yiting, Wang, Jihang, Zhang, Qian, Zeng, Yi
Decoding non-invasive brain recordings is pivotal for advancing our understanding of human cognition but faces challenges due to individual differences and complex neural signal representations. Traditional methods often require customized models and
Externí odkaz:
http://arxiv.org/abs/2404.19438