Zobrazeno 1 - 10
of 356
pro vyhledávání: '"Wang, Renxi"'
Reasoning is a central capability of human intelligence. In recent years, with the advent of large-scale datasets, pretrained large language models have emerged with new capabilities, including reasoning. However, these models still struggle with lon
Externí odkaz:
http://arxiv.org/abs/2411.06655
As large language models (LLMs) advance, their inability to autonomously execute tasks by directly interacting with external tools remains a critical limitation. Traditional methods rely on inputting tool descriptions as context, which is constrained
Externí odkaz:
http://arxiv.org/abs/2410.03439
Autor:
Lin, Lizhi, Mu, Honglin, Zhai, Zenan, Wang, Minghan, Wang, Yuxia, Wang, Renxi, Gao, Junjie, Zhang, Yixuan, Che, Wanxiang, Baldwin, Timothy, Han, Xudong, Li, Haonan
Generative models are rapidly gaining popularity and being integrated into everyday applications, raising concerns over their safe use as various vulnerabilities are exposed. In light of this, the field of red teaming is undergoing fast-paced growth,
Externí odkaz:
http://arxiv.org/abs/2404.00629
Large language models (LLMs) have achieved success in acting as agents, which interact with environments through tools such as search engines. However, LLMs are optimized for language generation instead of tool use during training or alignment, limit
Externí odkaz:
http://arxiv.org/abs/2402.11651
Autor:
Wang, Renxi, Li, Haonan, Wu, Minghao, Wang, Yuxia, Han, Xudong, Zhang, Chiyu, Baldwin, Timothy
Instruction tuning significantly enhances the performance of large language models (LLMs) across various tasks. However, the procedure to optimizing the mixing of instruction datasets for LLM fine-tuning is still poorly understood. This study categor
Externí odkaz:
http://arxiv.org/abs/2312.10793
Autor:
Chen, Nan1 (AUTHOR), Wang, Renxi2 (AUTHOR), Zhu, Wanlu1,3 (AUTHOR), Hao, Xiangjun1,3 (AUTHOR), Wang, Jing1 (AUTHOR), Chen, Guojiang1 (AUTHOR), Qiao, ChunXia1 (AUTHOR), Li, Xinying1 (AUTHOR), Liu, Chenghua1 (AUTHOR), Shen, Beifen1 (AUTHOR), Feng, Jiannan1 (AUTHOR), Chai, Lihui3 (AUTHOR) xiaoheysy@163.com, Yu, Zuyin4 (AUTHOR) xiaoheysy@163.com, Xiao, He1 (AUTHOR) xiaoheysy@163.com
Publikováno v:
PLoS ONE. 5/9/2024, Vol. 19 Issue 5, p1-15. 15p.
Publikováno v:
In Clinical Breast Cancer June 2023 23(4):e182-e188
Autor:
Gao, Zhenfang, Gao, Yang, Li, Yuxiang, Zhou, Jie, Li, Ge, Xie, Shun, Jia, Ruiyan, Wang, Lanying, Jiang, Ziying, Liang, Meng, Du, Chunxiao, Chen, Yaqiong, Liu, Yinji, Du, Lin, Wang, Cong, Dou, Shuaijie, Lv, Zhonglin, Wang, Lubin, Wang, Renxi, Shen, Beifen, Wang, Zhiding, Li, Yunfeng, Han, Gencheng
Publikováno v:
In Journal of Advanced Research February 2024
Publikováno v:
In Molecular Immunology January 2023 153:85-93
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