Zobrazeno 1 - 10
of 585
pro vyhledávání: '"Liu Yunxin"'
Autor:
Mi, Liang, Wang, Weijun, Tu, Wenming, He, Qingfeng, Kong, Rui, Fang, Xinyu, Dong, Yazhu, Zhang, Yikang, Li, Yunchun, Li, Meng, Dai, Haipeng, Chen, Guihai, Liu, Yunxin
Large Multimodal Models (LMMs) have shown significant progress in various complex vision tasks with the solid linguistic and reasoning capacity inherited from large language models (LMMs). Low-rank adaptation (LoRA) offers a promising method to integ
Externí odkaz:
http://arxiv.org/abs/2411.00915
Imitation based robot learning has recently gained significant attention in the robotics field due to its theoretical potential for transferability and generalizability. However, it remains notoriously costly, both in terms of hardware and data colle
Externí odkaz:
http://arxiv.org/abs/2409.12061
Running LLMs on end devices has garnered significant attention recently due to their advantages in privacy preservation. With the advent of lightweight LLM models and specially designed GPUs, on-device LLM inference has achieved the necessary accurac
Externí odkaz:
http://arxiv.org/abs/2409.04040
Video analytics is widespread in various applications serving our society. Recent advances of content enhancement in video analytics offer significant benefits for the bandwidth saving and accuracy improvement. However, existing content-enhanced vide
Externí odkaz:
http://arxiv.org/abs/2407.16990
In evaluating the long-context capabilities of large language models (LLMs), identifying content relevant to a user's query from original long documents is a crucial prerequisite for any LLM to answer questions based on long text. We present NeedleBe
Externí odkaz:
http://arxiv.org/abs/2407.11963
Autor:
Kong, Rui, Li, Qiyang, Fang, Xinyu, Feng, Qingtian, He, Qingfeng, Dong, Yazhu, Wang, Weijun, Li, Yuanchun, Kong, Linghe, Liu, Yunxin
Recent literature has found that an effective method to customize or further improve large language models (LLMs) is to add dynamic adapters, such as low-rank adapters (LoRA) with Mixture-of-Experts (MoE) structures. Though such dynamic adapters incu
Externí odkaz:
http://arxiv.org/abs/2405.17741
Autor:
Xu, Mengwei, Yin, Wangsong, Cai, Dongqi, Yi, Rongjie, Xu, Daliang, Wang, Qipeng, Wu, Bingyang, Zhao, Yihao, Yang, Chen, Wang, Shihe, Zhang, Qiyang, Lu, Zhenyan, Zhang, Li, Wang, Shangguang, Li, Yuanchun, Liu, Yunxin, Jin, Xin, Liu, Xuanzhe
Large foundation models, including large language models (LLMs), vision transformers (ViTs), diffusion, and LLM-based multimodal models, are revolutionizing the entire machine learning lifecycle, from training to deployment. However, the substantial
Externí odkaz:
http://arxiv.org/abs/2401.08092
Autor:
Li, Yuanchun, Wen, Hao, Wang, Weijun, Li, Xiangyu, Yuan, Yizhen, Liu, Guohong, Liu, Jiacheng, Xu, Wenxing, Wang, Xiang, Sun, Yi, Kong, Rui, Wang, Yile, Geng, Hanfei, Luan, Jian, Jin, Xuefeng, Ye, Zilong, Xiong, Guanjing, Zhang, Fan, Li, Xiang, Xu, Mengwei, Li, Zhijun, Li, Peng, Liu, Yang, Zhang, Ya-Qin, Liu, Yunxin
Since the advent of personal computing devices, intelligent personal assistants (IPAs) have been one of the key technologies that researchers and engineers have focused on, aiming to help users efficiently obtain information and execute tasks, and pr
Externí odkaz:
http://arxiv.org/abs/2401.05459
High-definition (HD) cameras for surveillance and road traffic have experienced tremendous growth, demanding intensive computation resources for real-time analytics. Recently, offloading frames from the front-end device to the back-end edge server ha
Externí odkaz:
http://arxiv.org/abs/2312.15740
Autor:
Shin, Jaemin, Yoon, Hyungjun, Lee, Seungjoo, Park, Sungjoon, Liu, Yunxin, Choi, Jinho D., Lee, Sung-Ju
Psychiatrists diagnose mental disorders via the linguistic use of patients. Still, due to data privacy, existing passive mental health monitoring systems use alternative features such as activity, app usage, and location via mobile devices. We propos
Externí odkaz:
http://arxiv.org/abs/2310.16538