Zobrazeno 1 - 10
of 1 223
pro vyhledávání: '"LEI Bin"'
Autor:
Lei, Bin, Li, Yuchen, Zeng, Yiming, Ren, Tao, Luo, Yi, Shi, Tianyu, Gao, Zitian, Hu, Zeyu, Kang, Weitai, Chen, Qiuwu
Despite the impressive capabilities of large language models (LLMs), they currently exhibit two primary limitations, \textbf{\uppercase\expandafter{\romannumeral 1}}: They struggle to \textbf{autonomously solve the real world engineering problem}. \t
Externí odkaz:
http://arxiv.org/abs/2411.01114
Autor:
Li, Zeyuan, He, Yangfan, He, Lewei, Wang, Jianhui, Shi, Tianyu, Lei, Bin, Li, Yuchen, Chen, Qiuwu
Recently, large language models (LLMs) have achieved significant progress in automated code generation. Despite their strong instruction-following capabilities, these models frequently struggled to align with user intent in coding scenarios. In parti
Externí odkaz:
http://arxiv.org/abs/2410.21349
We introduce AutoCoder, the first Large Language Model to surpass GPT-4 Turbo (April 2024) and GPT-4o in pass@1 on the Human Eval benchmark test ($\mathbf{90.9\%}$ vs. $\mathbf{90.2\%}$). In addition, AutoCoder offers a more versatile code interprete
Externí odkaz:
http://arxiv.org/abs/2405.14906
Recent advancements in large language models, such as GPT-4, have demonstrated remarkable capabilities in processing standard queries. Despite these advancements, their performance substantially declines in \textbf{advanced mathematical problems requ
Externí odkaz:
http://arxiv.org/abs/2404.04735
Autor:
Tan, Cheng, Deng, Mingxun, Yang, Yuanjun, An, Linlin, Ge, Weifeng, Albarakati, Sultan, Panahandeh-Fard, Majid, Partridge, James, Culcer, Dimitrie, Lei, Bin, Wu, Tao, Zhu, Xiangde, Tian, Mingliang, Chen, Xianhui, Wang, Rui-Qiang, Wang, Lan
As a quasi-layered ferrimagnetic material, Mn$_3$Si$_2$Te$_6$ nanoflakes exhibit magnetoresistance behaviour that is fundamentally different from their bulk crystal counterparts. They offer three key properties crucial for spintronics. Firstly, at le
Externí odkaz:
http://arxiv.org/abs/2403.16684
Publikováno v:
Railway Sciences, 2024, Vol. 3, Issue 6, pp. 684-703.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RS-08-2024-0033
In the evolving field of machine learning, video generation has witnessed significant advancements with autoregressive-based transformer models and diffusion models, known for synthesizing dynamic and realistic scenes. However, these models often fac
Externí odkaz:
http://arxiv.org/abs/2401.00869
Autor:
Thorat, Kiran, Zhao, Jiahui, Liu, Yaotian, Peng, Hongwu, Xie, Xi, Lei, Bin, Zhang, Jeff, Ding, Caiwen
The increasing use of Advanced Language Models (ALMs) in diverse sectors, particularly due to their impressive capability to generate top-tier content following linguistic instructions, forms the core of this investigation. This study probes into ALM
Externí odkaz:
http://arxiv.org/abs/2312.01022
Autor:
Chen, Le, Bhattacharjee, Arijit, Ahmed, Nesreen K., Hasabnis, Niranjan, Oren, Gal, Lei, Bin, Jannesari, Ali
Large language models (LLMs) have become increasingly prominent in academia and industry due to their remarkable performance in diverse applications. As these models evolve with increasing parameters, they excel in tasks like sentiment analysis and m
Externí odkaz:
http://arxiv.org/abs/2311.06505
Biologically-inspired Spiking Neural Networks (SNNs), processing information using discrete-time events known as spikes rather than continuous values, have garnered significant attention due to their hardware-friendly and energy-efficient characteris
Externí odkaz:
http://arxiv.org/abs/2308.08649