Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Tang Zhengyang"'
Autor:
Zhu, Jianqing, Huang, Huang, Lin, Zhihang, Liang, Juhao, Tang, Zhengyang, Almubarak, Khalid, Alharthik, Abdulmohsen, An, Bang, He, Juncai, Wu, Xiangbo, Yu, Fei, Chen, Junying, Ma, Zhuoheng, Du, Yuhao, Zhang, He, Alghamdi, Emad A., Zhang, Lian, Sun, Ruoyu, Li, Haizhou, Wang, Benyou, Xu, Jinchao
This paper addresses the critical need for democratizing large language models (LLM) in the Arab world, a region that has seen slower progress in developing models comparable to state-of-the-art offerings like GPT-4 or ChatGPT 3.5, due to a predomina
Externí odkaz:
http://arxiv.org/abs/2412.12310
Autor:
Gao, Bofei, Song, Feifan, Yang, Zhe, Cai, Zefan, Miao, Yibo, Dong, Qingxiu, Li, Lei, Ma, Chenghao, Chen, Liang, Xu, Runxin, Tang, Zhengyang, Wang, Benyou, Zan, Daoguang, Quan, Shanghaoran, Zhang, Ge, Sha, Lei, Zhang, Yichang, Ren, Xuancheng, Liu, Tianyu, Chang, Baobao
Recent advancements in large language models (LLMs) have led to significant breakthroughs in mathematical reasoning capabilities. However, existing benchmarks like GSM8K or MATH are now being solved with high accuracy (e.g., OpenAI o1 achieves 94.8%
Externí odkaz:
http://arxiv.org/abs/2410.07985
Autor:
Huang, Chenyu, Tang, Zhengyang, Ge, Dongdong, Hu, Shixi, Jiang, Ruoqing, Wang, Benyou, Wang, Zizhuo, Zheng, Xin
Optimization modeling and solving play a critical role in the application of Operations Research (OR) tools to address real-world problems, yet they pose challenges and require extensive expertise from OR experts. With the advent of large language mo
Externí odkaz:
http://arxiv.org/abs/2405.17743
Autor:
Tang, Zhengyang, Zhu, Shuqiang
This paper examines the existence of centered co-circular central configurations in the general power-law potential n-body problem. We prove the nonexistence of such configurations when the system consists of n-3 equal masses and three arbitrary mass
Externí odkaz:
http://arxiv.org/abs/2407.04702
Large language models (LLMs) have demonstrated remarkable capabilities in problem-solving. However, their proficiency in solving mathematical problems remains inadequate. We propose MathScale, a simple and scalable method to create high-quality mathe
Externí odkaz:
http://arxiv.org/abs/2403.02884
Autor:
Li, Haoran, Dong, Qingxiu, Tang, Zhengyang, Wang, Chaojun, Zhang, Xingxing, Huang, Haoyang, Huang, Shaohan, Huang, Xiaolong, Huang, Zeqiang, Zhang, Dongdong, Gu, Yuxian, Cheng, Xin, Wang, Xun, Chen, Si-Qing, Dong, Li, Lu, Wei, Sui, Zhifang, Wang, Benyou, Lam, Wai, Wei, Furu
We introduce Generalized Instruction Tuning (called GLAN), a general and scalable method for instruction tuning of Large Language Models (LLMs). Unlike prior work that relies on seed examples or existing datasets to construct instruction tuning data,
Externí odkaz:
http://arxiv.org/abs/2402.13064
Autor:
Tang, Zhengyang, Zhu, Shuqiang
This research investigates centered co-circular central configurations in the general power-law potential $n$-body problem. Firstly, there are no such configurations when all masses are equal, except for two; secondly, unless all masses are equal, no
Externí odkaz:
http://arxiv.org/abs/2310.20313
Publikováno v:
E3S Web of Conferences, Vol 118, p 03035 (2019)
Water temperature plays a crucial role in water ecological environment both in the reservoir and downstream area. Three Gorges Project (TGP) is the largest hydraulic engineering in the world, and changes of water quality attract much more attention,
Externí odkaz:
https://doaj.org/article/8a4e138e6c4f4c30991224777ffb79b3
New retrieval tasks have always been emerging, thus urging the development of new retrieval models. However, instantiating a retrieval model for each new retrieval task is resource-intensive and time-consuming, especially for a retrieval model that e
Externí odkaz:
http://arxiv.org/abs/2303.13419
Deep prompt tuning (DPT) has gained great success in most natural language processing~(NLP) tasks. However, it is not well-investigated in dense retrieval where fine-tuning~(FT) still dominates. When deploying multiple retrieval tasks using the same
Externí odkaz:
http://arxiv.org/abs/2208.11503