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 • 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 • 28 Sep 2023 • Yiming Ju, Zheng Zhang
KLoB can serve as a benchmark for evaluating existing locating methods in language models, and can contributes a method to reassessing the validity of locality hypothesis of factual knowledge.
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.
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.