About me

I am currently a postdoc at Huazhong University of Science and Technology (HUST). Previously, I received my Ph.D. from HUST in 2024 (advisor: Prof. Ruixuan Li) and my B.S. from HUST in 2019.

Research

• Theory: Causality, information theory.

• Applications: Interpretability, natural language processing

• My recent research has been concentrating on various issues related to large language models and causality. I am looking for collaboration partners, and interested individuals are welcome to contact me.

View my representative works.

Publications

• Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets. paper code
  Wei Liu, Zhongyu Niu, Lang Gao, Zhiying Deng, Jun Wang, Haozhao Wang, Ruixuan Li
  Conference: ICML 2025.

• Exploring Practical Gaps in Using Cross Entropy to Implement Maximum Mutual Information Criterion for Rationalization.
  Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, Ruixuan Li
  In TACL 2025 (to appear).

• Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization. paper code
  Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, Zhigang Zeng, Ruixuan Li
  Conference: ICLR 2025.

• Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization. paper code
  Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, YuanKai Zhang, Ruixuan Li
  Conference: NeurIPS 2024.

• Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling.
  Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu, Tao Zhang, Ruixuan Li.
  Conference: AAAI 2024.

• Enhancing the Rationale-Input Alignment for Self-explaining Rationalization. paper code
  Wei Liu, Haozhao Wang, Jun Wang, Zhiying Deng, YuanKai Zhang, Cheng Wang, Ruixuan Li
  Conference: ICDE 2024.

• D-Separation for Causal Self-Explanation. (NeurIPS 2023) paper code
  Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Zhiying Deng, Yuankai Zhang, Yang Qiu

• Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint. (KDD 2023) paper code
  Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Yang Qiu, YuanKai Zhang, Jie Han, Yixiong Zou

• MGR: Multi-generator Based Rationalization. (ACL 2023, Oral, Top 4%) paper code
  Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Xinyang Li, Yuankai Zhang, Yang Qiu

• Multi-view Multi-aspect Neural Networks for Next-Basket Recommendation. (SIGIR 2023)
  Zhiying Deng, Jianjun Li, Zhiqiang Guo, Wei Liu, Li Zou, Guohui Li

• FR: Folded Rationalization with a Unified Encoder (NeurIPS 2022) paper code video
  Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Chao Yue, Yuankai Zhang

Service

Great reviewer of ACL ARR December.