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Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection
Chao Chen, Zhihang Fu§, Kai Liu, Ze Chen, Mingyuan Tao, Jieping Ye</br> In Conference on Neural Information Processing Systems (NeurIPS) 2023
Category-Extensible Out-of-Distribution Detection
Kai Liu, Zhihang Fu§, Chao Chen, Sheng Jin, Ze Chen, Mingyuan Tao, Rongxin Jiang, Jieping Ye</br> In Conference on Neural Information Processing Systems (NeurIPS) 2023
INSIDE: LLMs’ Internal States Retain the Power of Hallucination Detection
Chao Chen, Kai Liu, Ze Chen, Yi Gu, Yue Wu, Mingyuan Tao, Zhihang Fu§, Jieping Ye</br> In International Conference on Learning Representations (ICLR) 2024
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution
Kai Liu, Zhihang Fu§, Sheng Jin, Chao Chen, Ze Chen, Rongxin Jiang, Fan Zhou, Yaowu Chen, Jieping Ye</br> In Conference on Neural Information Processing Systems (NeurIPS) 2024
Delving into the Reversal Curse: How Far Can Large Language Models Generalize?
Zhengkai Lin, Zhihang Fu♦, Kai Liu, Liang Xie, Binbin Lin, Wenxiao Wang, Deng Cai, Yue Wu, Jieping Ye</br> In Conference on Neural Information Processing Systems (NeurIPS) 2024
Enhancing LLM’s Cognition via Structurization
Kai Liu, Zhihang Fu§, Chao Chen, Wei Zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, and Jieping Ye</br> In Conference on Neural Information Processing Systems (NeurIPS) 2024
ESOD: Efficient Small Object Detection on High-Resolution Images
Kai Liu, Zhihang Fu♦, Sheng Jin, Ze Chen, Fan Zhou, Rongxin Jiang, Yaowu Chen, Jieping Ye.</br> In IEEE Transactions on Image Processing (TIP) 2024
ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL
Yang Qin, Chao Chen, Zhihang Fu♦, Ze Chen, Dezhong Peng, Peng Hu, Jieping Ye</br> In International Conference on Learning Representations (ICLR) 2025
ROPO: Robust Preference Optimization for Large Language Models
Xize Liang, Chao Chen, Shuang Qiu, Jie Wang, Yue Wu, Zhihang Fu♦, Zhihao Shi, Feng Wu, Jieping Ye</br> In International Conference on Machine Learning (ICML) 2025
Structure-aware Domain Knowledge Injection for Large Language Models
Kai Liu, Ze Chen, Zhihang Fu§, Wei Zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye</br> In Annual Meeting of the Association for Computational Linguistics (ACL) 2025
Controlling Thinking Speed in Reasoning Models
Zhengkai Lin, Zhihang Fu§, Ze Chen, Chao Chen, Liang Xie, Wenxiao Wang, Deng Cai, Zheng Wang, Jieping Ye</br> In Conference on Neural Information Processing Systems (NeurIPS Spotlight) 2025
Interact-RAG: Reason and Interact with the Corpus, Beyond Black-Box Retrieval
Yulong Hui, Chao Chen, Zhihang Fu♦, Yihao Liu, Jieping Ye, Huanchen Zhang</br> In International Conference on Learning Representations (ICLR) 2026
