1 code implementation • 13 Oct 2023 • Qichen Ye, Junling Liu, Dading Chong, Peilin Zhou, Yining Hua, Fenglin Liu, Meng Cao, ZiMing Wang, Xuxin Cheng, Zhu Lei, Zhenhua Guo
In the CPT and SFT phases, Qilin-Med achieved 38. 4% and 40. 0% accuracy on the CMExam test set, respectively.
2 code implementations • 27 Apr 2020 • Li Jingjing, Chen Erpeng, Ding Zhengming, Zhu Lei, Lu Ke, Shen Heng Tao
In this paper, we propose a new domain adaptation method named Adversarial Tight Match (ATM) which enjoys the benefits of both adversarial training and metric learning.
1 code implementation • 18 Jun 2019 • Li Jingjing, Jing Mengmeng, Lu Ke, Zhu Lei, Shen Heng Tao
Domain adaptation aims to leverage knowledge from a well-labeled source domain to a poorly-labeled target domain.
no code implementations • 15 Aug 2018 • Zhang Chengyuan, Chen Ruipeng, Zhu Lei, Liu Anfeng, Lin Yunwu, Huang Fang
Massive amount of multimedia data that contain times- tamps and geographical information are being generated at an unprecedented scale in many emerging applications such as photo sharing web site and social networks applications.
no code implementations • 22 Feb 2018 • Cheng Zhiyong, Ding Ying, Zhu Lei, Kankanhalli Mohan
Firstly, we apply a proposed aspect-aware topic model (ATM) on the review text to model user preferences and item features from different aspects, and estimate the aspect importance of a user towards an item.