no code implementations • EMNLP 2020 • Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yantao Jia, Zhicheng Sheng
Inspired by this behavior of humans, we propose a method to let the machine imagine a scene during reading narrative for better comprehension.
1 code implementation • COLING 2022 • Yiming Ju, Weikang Wang, Yuanzhe Zhang, Suncong Zheng, Kang Liu, Jun Zhao
To bridge the gap, we propose a new task: conditional question answering with hierarchical multi-span answers, where both the hierarchical relations and the conditions need to be extracted.
1 code implementation • EMNLP 2021 • Cheng Yan, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yafei Shi, Shengping Liu
Biomedical Concept Normalization (BCN) is widely used in biomedical text processing as a fundamental module.
no code implementations • EMNLP 2021 • Yiming Ju, Yuanzhe Zhang, Zhixing Tian, Kang Liu, Xiaohuan Cao, Wenting Zhao, Jinlong Li, Jun Zhao
Multiple-choice MRC is one of the most studied tasks in MRC due to the convenience of evaluation and the flexibility of answer format.
1 code implementation • 22 Mar 2024 • Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Shengping Liu, Jun Zhao
Retrieval-Augmented-Generation and Gener-ation-Augmented-Generation have been proposed to enhance the knowledge required for question answering over Large Language Models (LLMs).
1 code implementation • 16 Oct 2023 • Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jun Zhao, Kang Liu
In this paper, we for the first time theoretically and empirically identify that such a paradox is mainly due to the label shift of the in-context model to the data distribution, in which LLMs shift the label marginal $p(y)$ while having a good label conditional $p(x|y)$.
1 code implementation • 8 Oct 2023 • Yifan Wei, Yisong Su, Huanhuan Ma, Xiaoyan Yu, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu
As a result, it is natural for people to believe that LLMs have also mastered abilities such as time understanding and reasoning.
no code implementations • 31 Aug 2023 • Zhongtao Jiang, Yuanzhe Zhang, Yiming Ju, Kang Liu
We present a general framework for unsupervised text style transfer with deep generative models.
1 code implementation • 31 Aug 2023 • Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu
As the key to sentiment analysis, sentiment composition considers the classification of a constituent via classifications of its contained sub-constituents and rules operated on them.
1 code implementation • 5 May 2023 • Yifan Wei, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu
Hybrid question answering (HybridQA) over the financial report contains both textual and tabular data, and requires the model to select the appropriate evidence for the numerical reasoning task.
no code implementations • 22 Dec 2022 • Yuanzhe Zhang, Shirui Pan, Jiangshan Yu
Blockchain sharding is a promising approach to this problem.
no code implementations • 24 Oct 2022 • Yiming Ju, Yuanzhe Zhang, Kang Liu, Jun Zhao
The opaqueness of deep NLP models has motivated the development of methods for interpreting how deep models predict.
no code implementations • ACL 2022 • Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao
Meanwhile, since the reasoning process of deep models is inaccessible, researchers design various evaluation methods to demonstrate their arguments.
no code implementations • ACL 2021 • Zhongtao Jiang, Yuanzhe Zhang, Zhao Yang, Jun Zhao, Kang Liu
Deep learning models have achieved great success on the task of Natural Language Inference (NLI), though only a few attempts try to explain their behaviors.
no code implementations • ACL 2020 • Yuanzhe Zhang, Zhongtao Jiang, Tao Zhang, Shiwan Liu, Jiarun Cao, Kang Liu, Shengping Liu, Jun Zhao
Electronic Medical Records (EMRs) have become key components of modern medical care systems.
no code implementations • IJCNLP 2019 • Delai Qiu, Yuanzhe Zhang, Xinwei Feng, Xiangwen Liao, Wenbin Jiang, Yajuan Lyu, Kang Liu, Jun Zhao
Our method dynamically updates the representation of the knowledge according to the structural information of the constructed sub-graph.
no code implementations • ACL 2017 • Yanchao Hao, Yuanzhe Zhang, Kang Liu, Shizhu He, Zhanyi Liu, Hua Wu, Jun Zhao
This simple representation strategy is not easy to express the proper information in the question.
no code implementations • 3 Jun 2016 • Yuanzhe Zhang, Kang Liu, Shizhu He, Guoliang Ji, Zhanyi Liu, Hua Wu, Jun Zhao
With the rapid growth of knowledge bases (KBs) on the web, how to take full advantage of them becomes increasingly important.