Wei Liu - RankMe

33 papers A* 10A 2Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Are We Evaluating the Edit Locality of LLM Model Editing Properly? CoRR Wei Liu, Haomei Xu, Hongkai Liu, Zhiying Deng, Ruixuan Li, Heng Huang, Yee Whye Teh, Wee Sun Lee
2025	A*	`conf`	Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets. ICML Wei Liu, Zhongyu Niu, Lang Gao, Zhiying Deng, Jun Wang, Haozhao Wang, Ruixuan Li
2025	J	`jnl`	Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets. CoRR Wei Liu, Zhongyu Niu, Lang Gao, Zhiying Deng, Jun Wang, Haozhao Wang, Ruixuan Li
2025	A*	`conf`	Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization. ICLR Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, Zhigang Zeng, Ruixuan Li
2025	J	`jnl`	Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization. CoRR Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, Zhigang Zeng, Ruixuan Li
2025	J	`jnl`	Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables. CoRR Xuzhao Geng, Haozhao Wang, Jun Wang, Wei Liu, Ruixuan Li
2025	J	`jnl`	Evaluate Bias without Manual Test Sets: A Concept Representation Perspective for LLMs. CoRR Lang Gao, Kaiyang Wan, Wei Liu, Chenxi Wang, Zirui Song, Zixiang Xu, Yanbo Wang, Veselin Stoyanov, Xiuying Chen
2025	J	`jnl`	Exploring Practical Gaps in Using Cross Entropy to Implement Maximum Mutual Information Criterion for Rationalization. Trans. Assoc. Comput. Linguistics Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, Ruixuan Li
2025	J	`jnl`	Is Model Editing Built on Sand? Revealing Its Illusory Success and Fragile Foundation. CoRR Wei Liu, Haomei Xu, Bingqing Liu, Zhiying Deng, Haozhao Wang, Jun Wang, Ruixuan Li, Yee Whye Teh, Wee Sun Lee
2025	A*	`conf`	Privacy-Friendly Cross-Domain Recommendation via Distilling User-irrelevant Information. WWW Cheng Wang, Wenchao Xu, Haozhao Wang, Wei Liu, Ruixuan Li
2025	J	`jnl`	Quantifying Distributional Invariance in Causal Subgraph for IRM-Free Graph Generalization. CoRR Yang Qiu, Yixiong Zou, Jun Wang, Wei Liu, Xiangyu Fu, Ruixuan Li
2025	J	`jnl`	Re-Fed+: A Better Replay Strategy for Federated Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. Yichen Li, Haozhao Wang, Yining Qi, Wei Liu, Ruixuan Li
2025	J	`jnl`	Unbiased Interest Modeling in Sequential Basket Analysis: Addressing Repetition Bias with Multi-Factor Estimation. Trans. Recomm. Syst. Zhiying Deng, Jianjun Li, Wei Liu, Juan Zhao
2024	A	`conf`	Adversarial Attack for Explanation Robustness of Rationalization Models. ECAI Yuankai Zhang, Lingxiao Kong, Haozhao Wang, Ruixuan Li, Jun Wang, Yuhua Li, Wei Liu
2024	J	`jnl`	Adversarial Attack for Explanation Robustness of Rationalization Models. CoRR Yuankai Zhang, Lingxiao Kong, Haozhao Wang, Ruixuan Li, Jun Wang, Yuhua Li, Wei Liu
2024	A*	`conf`	Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling. AAAI Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu, Tao Zhang, Ruixuan Li
2024	A*	`conf`	Enhancing the Rationale-Input Alignment for Self-explaining Rationalization. ICDE Wei Liu, Haozhao Wang, Jun Wang, Zhiying Deng, Yuankai Zhang, Cheng Wang, Ruixuan Li
2024	A*	`conf`	Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization. NeurIPS Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, YuanKai Zhang, Ruixuan Li
2024	J	`jnl`	Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization. CoRR Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, YuanKai Zhang, Ruixuan Li
2024	—	`conf`	Multi-scale Context-aware User Interest Learning for Behavior Pattern Modeling. DASFAA (3) Zhiying Deng, Jianjun Li, Li Zou, Wei Liu, Si Shi, Qian Chen, Juan Zhao, Guohui Li
2024	A	`conf`	PAGE: Parametric Generative Explainer for Graph Neural Network. ECAI Yang Qiu, Wei Liu, Jun Wang, Ruixuan Li
2024	J	`jnl`	PAGE: Parametric Generative Explainer for Graph Neural Network. CoRR Yang Qiu, Wei Liu, Jun Wang, Ruixuan Li
2023	A*	`conf`	D-Separation for Causal Self-Explanation. NeurIPS Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Zhiying Deng, Yuankai Zhang, Yang Qiu
2023	J	`jnl`	D-Separation for Causal Self-Explanation. CoRR Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Zhiying Deng, Yuankai Zhang, Yang Qiu
2023	A*	`conf`	Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint. KDD Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Yang Qiu, Yuankai Zhang, Jie Han, Yixiong Zou
2023	J	`jnl`	Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint. CoRR Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Yang Qiu, Yuankai Zhang, Jie Han, Yixiong Zou
2023	J	`jnl`	Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling. CoRR Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu, Tao Zhang, Ruixuan Li
2023	J	`jnl`	Enhancing the Rationale-Input Alignment for Self-explaining Rationalization. CoRR Wei Liu, Haozhao Wang, Jun Wang, Zhiying Deng, Yuankai Zhang, Cheng Wang, Ruixuan Li
2023	—	`conf`	MGR: Multi-generator Based Rationalization. ACL (1) Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Xinyang Li, Yuankai Zhang, Yang Qiu
2023	J	`jnl`	MGR: Multi-generator based Rationalization. CoRR Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Xinyang Li, Yuankai Zhang, Yang Qiu
2023	A*	`conf`	Multi-view Multi-aspect Neural Networks for Next-basket Recommendation. SIGIR Zhiying Deng, Jianjun Li, Zhiqiang Guo, Wei Liu, Li Zou, Guohui Li
2022	A*	`conf`	FR: Folded Rationalization with a Unified Encoder. NeurIPS Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Chao Yue, Yuankai Zhang
2022	J	`jnl`	FR: Folded Rationalization with a Unified Encoder. CoRR Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Chao Yue, Yuankai Zhang