2 code implementations • 22 Feb 2024 • Baichuan Zhou, Ying Hu, Xi Weng, Junlong Jia, Jie Luo, Xien Liu, Ji Wu, Lei Huang
We present the TinyLLaVA framework that provides a unified perspective in designing and analyzing the small-scale Large Multimodal Models (LMMs).
Ranked #70 on Visual Question Answering on MM-Vet
no code implementations • 2 Jun 2023 • Wenqian Cui, Xiangling Fu, Shaohui Liu, Mingjun Gu, Xien Liu, Ji Wu, Irwin King
Nevertheless, the most significant obstacle to existing disease name normalization systems is the severe shortage of training data.
1 code implementation • 2 Jun 2023 • Yuxuan Zhou, Ziyu Jin, Meiwei Li, Miao Li, Xien Liu, Xinxin You, Ji Wu
The NLI4CT task aims to entail hypotheses based on Clinical Trial Reports (CTRs) and retrieve the corresponding evidence supporting the justification.
no code implementations • 28 Mar 2023 • Shaohui Liu, Xien Liu, Ji Wu
Under the circumstance that countries generally start to adopt DRG enrollment and payment, the problem of write-missing diagnosis is a common and serious problem.
1 code implementation • Findings (ACL) 2022 • Yuxuan Zhou, Xien Liu, Kaiyin Zhou, Ji Wu
The table-based fact verification task has recently gained widespread attention and yet remains to be a very challenging problem.
no code implementations • SEMEVAL 2021 • Yuxuan Zhou, Kaiyin Zhou, Xien Liu, Ji Wu, Xiaodan Zhu
This paper describes our system for verifying statements with tables at SemEval-2021 Task 9.
1 code implementation • Methods 2020 • Xin Chen, Xien Liu, Ji Wu
To alleviate this problem, we investigate the utilization of the end-to-end graph representation learning for the DDI prediction task.
no code implementations • 25 Feb 2020 • Xien Liu, Song Wang, Xiao Zhang, Xinxin You, Ji Wu, Dejing Dou
In this study, we propose a label-guided learning framework LguidedLearn for text representation and classification.
2 code implementations • 12 Jan 2020 • Xien Liu, Xinxin You, Xiao Zhang, Ji Wu, Ping Lv
A new framework TensorGCN (tensor graph convolutional networks), is presented for this task.
no code implementations • 25 Sep 2019 • Xiao Zhang, Song Wang, Dejing Dou, Xien Liu, Thien Huu Nguyen, Ji Wu
Contextual representation models like BERT have achieved state-of-the-art performance on a diverse range of NLP tasks.
no code implementations • 15 Nov 2018 • Yu Hao, Xien Liu, Ji Wu, Ping Lv
The learning framework consists of two main parts: 1) a sentence embedding producing module, and 2) a scoring module.
no code implementations • 28 Feb 2018 • Xiao Zhang, Ji Wu, ZhiYang He, Xien Liu, Ying Su
Reading and understanding text is one important component in computer aided diagnosis in clinical medicine, also being a major research problem in the field of NLP.