no code implementations • 12 Jan 2023 • Xinsong Zhang, Yan Zeng, Jipeng Zhang, Hang Li
One is to stop gradients from the vision-language training when learning the language encoder.
1 code implementation • 1 Dec 2022 • Zhenwen Liang, Jipeng Zhang, Lei Wang, Yan Wang, Jie Shao, Xiangliang Zhang
In this paper, we design a new training framework for an MWP solver by introducing a solution buffer and a solution discriminator.
1 code implementation • 1 Dec 2022 • Zhenwen Liang, Jipeng Zhang, Xiangliang Zhang
In this paper, we propose to build a novel MWP solver by leveraging analogical MWPs, which advance the solver's generalization ability across different kinds of MWPs.
1 code implementation • 22 Nov 2022 • Yan Zeng, Xinsong Zhang, Hang Li, Jiawei Wang, Jipeng Zhang, Wangchunshu Zhou
Moreover, we show that the modular design of X$^2$-VLM results in high transferability for X$^2$-VLM to be utilized in any language or domain.
Ranked #1 on Cross-Modal Retrieval on Flickr30k
1 code implementation • 17 Nov 2022 • JunJie Huang, Chenglong Wang, Jipeng Zhang, Cong Yan, Haotian Cui, Jeevana Priya Inala, Colin Clement, Nan Duan, Jianfeng Gao
Code generation models can benefit data scientists' productivity by automatically generating code from context and text descriptions.
1 code implementation • Findings (NAACL) 2022 • Zhenwen Liang, Jipeng Zhang, Lei Wang, Wei Qin, Yunshi Lan, Jie Shao, Xiangliang Zhang
Math word problem (MWP) solving faces a dilemma in number representation learning.
Ranked #3 on Math Word Problem Solving on MathQA
1 code implementation • ACL 2020 • Jipeng Zhang, Lei Wang, Roy Ka-Wei Lee, Yi Bin, Yan Wang, Jie Shao, Ee-Peng Lim
While the recent tree-based neural models have demonstrated promising results in generating solution expression for the math word problem (MWP), most of these models do not capture the relationships and order information among the quantities well.
Ranked #6 on Math Word Problem Solving on MAWPS
1 code implementation • AAAI 2019 • Lei Wang, Dongxiang Zhang, Jipeng Zhang, Xing Xu, Lianli Gao, Bing Tian Dai, Heng Tao Shen
Then, we design a recursive neural network to encode the quantity with Bi-LSTM and self attention, and infer the unknown operator nodes in a bottom-up manner.
1 code implementation • ACL 2019 • Jierui Li, Lei Wang, Jipeng Zhang, Yan Wang, Bing Tian Dai, Dongxiang Zhang
Several deep learning models have been proposed for solving math word problems (MWPs) automatically.
Ranked #11 on Math Word Problem Solving on Math23K