Zobrazeno 1 - 10
of 1 793
pro vyhledávání: '"MA Zhe"'
Autor:
Gan, Yuyou, Yang, Yong, Ma, Zhe, He, Ping, Zeng, Rui, Wang, Yiming, Li, Qingming, Zhou, Chunyi, Li, Songze, Wang, Ting, Gao, Yunjun, Wu, Yingcai, Ji, Shouling
With the continuous development of large language models (LLMs), transformer-based models have made groundbreaking advances in numerous natural language processing (NLP) tasks, leading to the emergence of a series of agents that use LLMs as their con
Externí odkaz:
http://arxiv.org/abs/2411.09523
Autor:
Li, Siyuan, Ma, Zhe, Liu, Feifan, Lu, Jiani, Xiao, Qinqin, Sun, Kewu, Cui, Lingfei, Yang, Xirui, Liu, Peng, Wang, Xun
Robot task planning is an important problem for autonomous robots in long-horizon challenging tasks. As large pre-trained models have demonstrated superior planning ability, recent research investigates utilizing large models to achieve autonomous pl
Externí odkaz:
http://arxiv.org/abs/2411.06920
Autor:
Li, Zongyuan, Ni, Yanan, Qi, Runnan, Jiang, Lumin, Lu, Chang, Xu, Xiaojie, Liu, Xiangbei, Li, Pengfei, Guo, Yunzheng, Ma, Zhe, Guo, Xian, Huang, Kuihua, Zhang, Xuebo
This paper introduces a new environment LLM-PySC2 (the Large Language Model StarCraft II Learning Environment), a platform derived from DeepMind's StarCraft II Learning Environment that serves to develop Large Language Models (LLMs) based decision-ma
Externí odkaz:
http://arxiv.org/abs/2411.05348
The past few years have witnessed substantial advancement in text-guided image generation powered by diffusion models. However, it was shown that text-to-image diffusion models are vulnerable to training image memorization, raising concerns on copyri
Externí odkaz:
http://arxiv.org/abs/2405.05846
Autor:
Guo, Yufei, Chen, Yuanpei, Hao, Zecheng, Peng, Weihang, Jie, Zhou, Zhang, Yuhan, Liu, Xiaode, Ma, Zhe
The Spiking Neural Network (SNN) is a biologically inspired neural network infrastructure that has recently garnered significant attention. It utilizes binary spike activations to transmit information, thereby replacing multiplications with additions
Externí odkaz:
http://arxiv.org/abs/2401.04486
Autor:
Ma, Zhe, Dong, Jianfeng, Ji, Shouling, Liu, Zhenguang, Zhang, Xuhong, Wang, Zonghui, He, Sifeng, Qian, Feng, Zhang, Xiaobo, Yang, Lei
Visual retrieval aims to search for the most relevant visual items, e.g., images and videos, from a candidate gallery with a given query item. Accuracy and efficiency are two competing objectives in retrieval tasks. Instead of crafting a new method p
Externí odkaz:
http://arxiv.org/abs/2312.09716
The Spiking Neural Network (SNN), as one of the biologically inspired neural network infrastructures, has drawn increasing attention recently. It adopts binary spike activations to transmit information, thus the multiplications of activations and wei
Externí odkaz:
http://arxiv.org/abs/2312.06372
Autor:
Li, Siyuan, Wang, Xun, Zuo, Rongchang, Sun, Kewu, Cui, Lingfei, Ding, Jishiyu, Liu, Peng, Ma, Zhe
Imitation learning (IL) has achieved considerable success in solving complex sequential decision-making problems. However, current IL methods mainly assume that the environment for learning policies is the same as the environment for collecting exper
Externí odkaz:
http://arxiv.org/abs/2310.14274
Recently, Spiking Neural Networks (SNNs), enjoying extreme energy efficiency, have drawn much research attention on 2D visual recognition and shown gradually increasing application potential. However, it still remains underexplored whether SNNs can b
Externí odkaz:
http://arxiv.org/abs/2310.06232
Publikováno v:
Journal of Veterinary Research, Vol 60, Iss 1, Pp 71-80 (2016)
Introduction: The effects of Jin-Ying-Tang (JYT) on Toll-like Receptor 4 (TLR4) signalling transduction of lipopolysaccharide (LPS)-stimulated mouse mammary epithelial cells (MECs) in vitro were examined. Material and Methods: The cytotoxicity of JYT
Externí odkaz:
https://doaj.org/article/bfece0d09e2748e495a314f8d8618981
