Zobrazeno 1 - 10
of 327
pro vyhledávání: '"Li Tianpeng"'
Publikováno v:
Green Processing and Synthesis, Vol 11, Iss 1, Pp 275-286 (2022)
In this study, we prepared and characterized ceramsite-supported nanoscale zero-valent iron (nZVI). Malachite green (MG) dye removal from aqueous solutions using a fixed-bed reactor packed with the above composite material was investigated. This rese
Externí odkaz:
https://doaj.org/article/825d445d51244a0793572e0e792181e3
Autor:
Lin, Mingan, Yang, Fan, Shen, Yanjun, Sun, Haoze, Li, Tianpeng, Zhang, Tao, Zhu, Chenzheng, Zheng, Miao, Li, Xu, Zhou, Yijie, Chen, Mingyang, Qin, Yanzhao, Li, Youquan, Liang, Hao, Li, Fei, Li, Yadong, Wang, Mang, Dong, Guosheng, Fang, Kun, Xu, Jianhua, Cui, Bin, Zhang, Wentao, Zhou, Zenan, Chen, Weipeng
We introduce Nova, a suite of practical alignment techniques employed in a series of empirically validated high-performing models. This represents the first comprehensive account of alignment methodologies, offering valuable insights for advancing AI
Externí odkaz:
http://arxiv.org/abs/2410.14940
Autor:
Chen, Mingyang, Sun, Haoze, Li, Tianpeng, Yang, Fan, Liang, Hao, Lu, Keer, Cui, Bin, Zhang, Wentao, Zhou, Zenan, Chen, Weipeng
Large Language Models (LLMs) have exhibited significant potential in performing diverse tasks, including the ability to call functions or use external tools to enhance their performance. While current research on function calling by LLMs primarily fo
Externí odkaz:
http://arxiv.org/abs/2410.12952
Autor:
Li, Yadong, Sun, Haoze, Lin, Mingan, Li, Tianpeng, Dong, Guosheng, Zhang, Tao, Ding, Bowen, Song, Wei, Cheng, Zhenglin, Huo, Yuqi, Chen, Song, Li, Xu, Pan, Da, Zhang, Shusen, Wu, Xin, Liang, Zheng, Liu, Jun, Lu, Keer, Zhao, Yaqi, Shen, Yanjun, Yang, Fan, Yu, Kaicheng, Lin, Tao, Xu, Jianhua, Zhou, Zenan, Chen, Weipeng
The salient multimodal capabilities and interactive experience of GPT-4o highlight its critical role in practical applications, yet it lacks a high-performing open-source counterpart. In this paper, we introduce Ocean-omni, the first open-source 7B M
Externí odkaz:
http://arxiv.org/abs/2410.08565
Generative self-supervised learning (SSL), especially masked autoencoders (MAE), has greatly succeeded and garnered substantial research interest in graph machine learning. However, the research of MAE in dynamic graphs is still scant. This gap is pr
Externí odkaz:
http://arxiv.org/abs/2409.09262
Autor:
Dong, Guosheng, Pan, Da, Sun, Yiding, Zhang, Shusen, Liang, Zheng, Wu, Xin, Shen, Yanjun, Yang, Fan, Sun, Haoze, Li, Tianpeng, Lin, Mingan, Xu, Jianhua, Zhang, Yufan, Nie, Xiaonan, Su, Lei, Wang, Bingning, Zhang, Wentao, Mao, Jiaxin, Zhou, Zenan, Chen, Weipeng
The general capabilities of Large Language Models (LLM) highly rely on the composition and selection on extensive pretraining datasets, treated as commercial secrets by several institutions. To mitigate this issue, we open-source the details of a uni
Externí odkaz:
http://arxiv.org/abs/2408.15079
Autor:
Zhou, Minxuan, Liang, Hao, Li, Tianpeng, Wu, Zhiyu, Lin, Mingan, Sun, Linzhuang, Zhou, Yaqi, Zhang, Yan, Huang, Xiaoqin, Chen, Yicong, Qiao, Yujing, Chen, Weipeng, Cui, Bin, Zhang, Wentao, Zhou, Zenan
With the development of Multimodal Large Language Models (MLLMs), the evaluation of multimodal models in the context of mathematical problems has become a valuable research field. Multimodal visual-textual mathematical reasoning serves as a critical
Externí odkaz:
http://arxiv.org/abs/2408.07543
Autor:
Zheng, Miao, Liang, Hao, Yang, Fan, Sun, Haoze, Li, Tianpeng, Xiong, Lingchu, Zhang, Yan, Wu, Youzhen, Li, Kun, Shen, Yanjun, Lin, Mingan, Zhang, Tao, Dong, Guosheng, Qiao, Yujing, Fang, Kun, Chen, Weipeng, Cui, Bin, Zhang, Wentao, Zhou, Zenan
In recent years, the rise of Large Language Models (LLMs) has spurred a growing demand for plug-and-play AI systems. Among the various AI techniques, prompt engineering stands out as particularly significant. However, users often face challenges in w
Externí odkaz:
http://arxiv.org/abs/2407.06027
Publikováno v:
Green Processing and Synthesis, Vol 9, Iss 1, Pp 770-782 (2020)
A novel porous ceramsite was made of municipal sludge, coal fly ash, and river sediment by sintering process, and the performance of batch and fixed-bed column systems containing this material in the removal of acid red G (ARG) dye from aqueous solut
Externí odkaz:
https://doaj.org/article/efbc12a883c346d7aa7b1ea7df1225d7
Autor:
Yang, Aiyuan, Xiao, Bin, Wang, Bingning, Zhang, Borong, Bian, Ce, Yin, Chao, Lv, Chenxu, Pan, Da, Wang, Dian, Yan, Dong, Yang, Fan, Deng, Fei, Wang, Feng, Liu, Feng, Ai, Guangwei, Dong, Guosheng, Zhao, Haizhou, Xu, Hang, Sun, Haoze, Zhang, Hongda, Liu, Hui, Ji, Jiaming, Xie, Jian, Dai, JunTao, Fang, Kun, Su, Lei, Song, Liang, Liu, Lifeng, Ru, Liyun, Ma, Luyao, Wang, Mang, Liu, Mickel, Lin, MingAn, Nie, Nuolan, Guo, Peidong, Sun, Ruiyang, Zhang, Tao, Li, Tianpeng, Li, Tianyu, Cheng, Wei, Chen, Weipeng, Zeng, Xiangrong, Wang, Xiaochuan, Chen, Xiaoxi, Men, Xin, Yu, Xin, Pan, Xuehai, Shen, Yanjun, Wang, Yiding, Li, Yiyu, Jiang, Youxin, Gao, Yuchen, Zhang, Yupeng, Zhou, Zenan, Wu, Zhiying
Large language models (LLMs) have demonstrated remarkable performance on a variety of natural language tasks based on just a few examples of natural language instructions, reducing the need for extensive feature engineering. However, most powerful LL
Externí odkaz:
http://arxiv.org/abs/2309.10305