Zobrazeno 1 - 10
of 718
pro vyhledávání: '"ZHENG Guodong"'
Autor:
Zhou, Enyu, Zheng, Guodong, Wang, Binghai, Xi, Zhiheng, Dou, Shihan, Bao, Rong, Shen, Wei, Xiong, Limao, Fan, Jessica, Mou, Yurong, Zheng, Rui, Gui, Tao, Zhang, Qi, Huang, Xuanjing
Reward models (RMs) guide the alignment of large language models (LLMs), steering them toward behaviors preferred by humans. Evaluating RMs is the key to better aligning LLMs. However, the current evaluation of RMs may not directly correspond to thei
Externí odkaz:
http://arxiv.org/abs/2410.09893
Autor:
Zhang, Yongting, Chen, Lu, Zheng, Guodong, Gao, Yifeng, Zheng, Rui, Fu, Jinlan, Yin, Zhenfei, Jin, Senjie, Qiao, Yu, Huang, Xuanjing, Zhao, Feng, Gui, Tao, Shao, Jing
The emergence of Vision Language Models (VLMs) has brought unprecedented advances in understanding multimodal information. The combination of textual and visual semantics in VLMs is highly complex and diverse, making the safety alignment of these mod
Externí odkaz:
http://arxiv.org/abs/2406.12030
Autor:
Fan, Xiaoran, Ji, Tao, Jiang, Changhao, Li, Shuo, Jin, Senjie, Song, Sirui, Wang, Junke, Hong, Boyang, Chen, Lu, Zheng, Guodong, Zhang, Ming, Huang, Caishuang, Zheng, Rui, Xi, Zhiheng, Zhou, Yuhao, Dou, Shihan, Ye, Junjie, Yan, Hang, Gui, Tao, Zhang, Qi, Qiu, Xipeng, Huang, Xuanjing, Wu, Zuxuan, Jiang, Yu-Gang
Current large vision-language models (VLMs) often encounter challenges such as insufficient capabilities of a single visual component and excessively long visual tokens. These issues can limit the model's effectiveness in accurately interpreting comp
Externí odkaz:
http://arxiv.org/abs/2401.17221
Autor:
Lu, Chaochao, Qian, Chen, Zheng, Guodong, Fan, Hongxing, Gao, Hongzhi, Zhang, Jie, Shao, Jing, Deng, Jingyi, Fu, Jinlan, Huang, Kexin, Li, Kunchang, Li, Lijun, Wang, Limin, Sheng, Lu, Chen, Meiqi, Zhang, Ming, Ren, Qibing, Chen, Sirui, Gui, Tao, Ouyang, Wanli, Wang, Yali, Teng, Yan, Wang, Yaru, Wang, Yi, He, Yinan, Wang, Yingchun, Wang, Yixu, Zhang, Yongting, Qiao, Yu, Shen, Yujiong, Mou, Yurong, Chen, Yuxi, Zhang, Zaibin, Shi, Zhelun, Yin, Zhenfei, Wang, Zhipin
Multi-modal Large Language Models (MLLMs) have shown impressive abilities in generating reasonable responses with respect to multi-modal contents. However, there is still a wide gap between the performance of recent MLLM-based applications and the ex
Externí odkaz:
http://arxiv.org/abs/2401.15071
Publikováno v:
In Ecotoxicology and Environmental Safety 1 October 2024 284
Publikováno v:
In Drug Discovery Today October 2024 29(10)
Autor:
Chen Qishen, Zhang Yanfei, Xing Jiayun, Long Tao, Zheng Guodong, Wang Kun,Ren Xin, Li Zhenqing, Li Qiang>
Publikováno v:
中国工程科学, Vol 25, Iss 6, Pp 191-201 (2023)
The natural, economic, and social attributes of mineral resources determine that the security of mineral resources involves numerous resource types, large spatial distribution, ultra-long industrial chains, huge industrial scale, spatial and temporal
Externí odkaz:
https://doaj.org/article/8f11c7bfcdc04d578408ac2df7ee6851
Publikováno v:
Cailiao gongcheng, Vol 51, Iss 12, Pp 151-158 (2023)
In order to obtain thermal expansion silicone rubber for composite soft molding with excellent performance and wide adaptability, the flow, heat resistance, thermal expansion and elastic properties of three kinds of thermal expansion silicone rubber
Externí odkaz:
https://doaj.org/article/4bd346bfe9f3406180bf47401a62d99d
Autor:
Li, Cheng, Yu, Tao, Jiang, Zhongcheng, Li, Wenli, Guan, Dong-Xing, Yang, Yeyu, Zeng, Jie, Xu, Haofan, Liu, Shaohua, Wu, Xiangke, Zheng, Guodong, Yang, Zhongfang
Publikováno v:
In Science of the Total Environment 1 December 2024 954
Autor:
Xu, Wang, Zheng, Guodong, Zhou, Wen, Ma, Xiangxian, Fortin, Danielle, Li, Zhongping, Tang, Huayun, Chelnokov, Georgy Alekseevich, Lavrushin, Vasily, Wang, Xiaoguang
Publikováno v:
In Geoenergy Science and Engineering December 2024 243