no code implementations • 29 May 2024 • Hongyuan Dong, Jiawen Li, Bohong Wu, Jiacong Wang, Yuan Zhang, Haoyuan Guo
We also design a more reliable caption evaluation metric called CAPTURE (CAPtion evaluation by exTracting and coUpling coRE information).
no code implementations • 23 May 2024 • Yuan Zhang, Fei Xiao, Tao Huang, Chun-Kai Fan, Hongyuan Dong, Jiawen Li, Jiacong Wang, Kuan Cheng, Shanghang Zhang, Haoyuan Guo
To this end, we provide a multi-modal benchmark ConBench, to intuitively analyze how LVLMs perform when the solution space of a prompt revolves around a knowledge point.
1 code implementation • 15 Jun 2023 • Hongyuan Dong, Weinan Zhang, Wanxiang Che
Despite the promising prospects, the performance of prompting model largely depends on the design of prompt template and verbalizer.
1 code implementation • COLING 2022 • Yutai Hou, Hongyuan Dong, Xinghao Wang, Bohan Li, Wanxiang Che
Prompting method is regarded as one of the crucial progress for few-shot nature language processing.
3 code implementations • 22 Aug 2020 • Hongyuan Dong, Jiaqing Xie, Zhi Jing, Dexin Ren
Additionally, we show that our model can generates effective drug compounds not previously used for specific cancer cell lines.