Zobrazeno 1 - 10
of 27 698
pro vyhledávání: '"Wenyi An"'
Autor:
Liu, Xiao, Qin, Bo, Liang, Dongzhu, Dong, Guang, Lai, Hanyu, Zhang, Hanchen, Zhao, Hanlin, Iong, Iat Long, Sun, Jiadai, Wang, Jiaqi, Gao, Junjie, Shan, Junjun, Liu, Kangning, Zhang, Shudan, Yao, Shuntian, Cheng, Siyi, Yao, Wentao, Zhao, Wenyi, Liu, Xinghan, Liu, Xinyi, Chen, Xinying, Yang, Xinyue, Yang, Yang, Xu, Yifan, Yang, Yu, Wang, Yujia, Xu, Yulin, Qi, Zehan, Dong, Yuxiao, Tang, Jie
We present AutoGLM, a new series in the ChatGLM family, designed to serve as foundation agents for autonomous control of digital devices through Graphical User Interfaces (GUIs). While foundation models excel at acquiring human knowledge, they often
Externí odkaz:
http://arxiv.org/abs/2411.00820
World modelling is essential for understanding and predicting the dynamics of complex systems by learning both spatial and temporal dependencies. However, current frameworks, such as Transformers and selective state-space models like Mambas, exhibit
Externí odkaz:
http://arxiv.org/abs/2410.20922
This paper explores the applications and challenges of graph neural networks (GNNs) in processing complex graph data brought about by the rapid development of the Internet. Given the heterogeneity and redundancy problems that graph data often have, t
Externí odkaz:
http://arxiv.org/abs/2410.17617
Autor:
Xiao, Wenyi, Wang, Zechuan, Gan, Leilei, Zhao, Shuai, He, Wanggui, Tuan, Luu Anh, Chen, Long, Jiang, Hao, Zhao, Zhou, Wu, Fei
With the rapid advancement of large language models (LLMs), aligning policy models with human preferences has become increasingly critical. Direct Preference Optimization (DPO) has emerged as a promising approach for alignment, acting as an RL-free a
Externí odkaz:
http://arxiv.org/abs/2410.15595
The Large Visual Language Models (LVLMs) enhances user interaction and enriches user experience by integrating visual modality on the basis of the Large Language Models (LLMs). It has demonstrated their powerful information processing and generation
Externí odkaz:
http://arxiv.org/abs/2410.15359
With the explosive growth of Internet data, users are facing the problem of information overload, which makes it a challenge to efficiently obtain the required resources. Recommendation systems have emerged in this context. By filtering massive amoun
Externí odkaz:
http://arxiv.org/abs/2410.15026
Autor:
Zhuge, Mingchen, Zhao, Changsheng, Ashley, Dylan, Wang, Wenyi, Khizbullin, Dmitrii, Xiong, Yunyang, Liu, Zechun, Chang, Ernie, Krishnamoorthi, Raghuraman, Tian, Yuandong, Shi, Yangyang, Chandra, Vikas, Schmidhuber, Jürgen
Contemporary evaluation techniques are inadequate for agentic systems. These approaches either focus exclusively on final outcomes -- ignoring the step-by-step nature of agentic systems, or require excessive manual labour. To address this, we introdu
Externí odkaz:
http://arxiv.org/abs/2410.10934
Simulations of the cosmic-ray (CR) anisotropy down to TeV energies are presented, using turbulence parameters consistent with those inferred from observations of the interstellar medium. We compute the angular power spectra $C_{\ell}$ of the CR aniso
Externí odkaz:
http://arxiv.org/abs/2410.09634
The rate-distortion function (RDF) has long been an information-theoretic benchmark for data compression. As its natural extension, the indirect rate-distortion function (iRDF) corresponds to the scenario where the encoder can only access an observat
Externí odkaz:
http://arxiv.org/abs/2410.09018
Autor:
Liu, Zheng, Li, Haotian, Yuan, Chongjian, Liu, Xiyuan, Lin, Jiarong, Li, Rundong, Zheng, Chunran, Zhou, Bingyang, Liu, Wenyi, Zhang, Fu
In this work, we present Voxel-SLAM: a complete, accurate, and versatile LiDAR-inertial SLAM system that fully utilizes short-term, mid-term, long-term, and multi-map data associations to achieve real-time estimation and high precision mapping. The s
Externí odkaz:
http://arxiv.org/abs/2410.08935