Chen, Ruizhe

15 publications

ICLR 2026 BiasFreeBench: A Benchmark for Mitigating Bias in Large Language Model Responses Xin Xu, Xunzhi He, Churan Zhi, Ruizhe Chen, Julian McAuley, Zexue He
ICLR 2026 From Narrow to Panoramic Vision: Attention-Guided Cold-Start Reshapes Multimodal Reasoning Ruilin Luo, Chufan Shi, Yizhen Zhang, Cheng Yang, Songtao Jiang, Tongkun Guan, Ruizhe Chen, Ruihang Chu, Peng Wang, Mingkun Yang, Lei Wang, Yujiu Yang, Junyang Lin, Zhibo Yang
ICLR 2026 OptimSyn: Influence-Guided Rubrics Optimization for Synthetic Data Generation Zhiting Fan, Ruizhe Chen, Tianxiang Hu, Ru Peng, Zenan Huang, Haokai Xu, Yixin Chen, Jian Wu, Junbo Zhao, Zuozhu Liu
ICML 2025 An All-Atom Generative Model for Designing Protein Complexes Ruizhe Chen, Dongyu Xue, Xiangxin Zhou, Zaixiang Zheng, Xiangxiang Zeng, Quanquan Gu
ICML 2025 Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate Yifan Fang, Yifei Fang, Ruizhe Chen, Haote Xu, Xinghao Ding, Yue Huang
NeurIPS 2025 FRN: Fractal-Based Recursive Spectral Reconstruction Network Ge Meng, Zhongnan Cai, Ruizhe Chen, Jingyan Tu, Yingying Wang, Yue Huang, Xinghao Ding
ICLR 2025 FairMT-Bench: Benchmarking Fairness for Multi-Turn Dialogue in Conversational LLMs Zhiting Fan, Ruizhe Chen, Tianxiang Hu, Zuozhu Liu
IJCAI 2025 Modality-Fair Preference Optimization for Trustworthy MLLM Alignment Songtao Jiang, Yan Zhang, Ruizhe Chen, Tianxiang Hu, Yeying Jin, Qinglin He, Yang Feng, Jian Wu, Zuozhu Liu
ICLR 2025 PAD: Personalized Alignment of LLMs at Decoding-Time Ruizhe Chen, Xiaotian Zhang, Meng Luo, Wenhao Chai, Zuozhu Liu
NeurIPS 2024 Antigen-Specific Antibody Design via Direct Energy-Based Preference Optimization Xiangxin Zhou, Dongyu Xue, Ruizhe Chen, Zaixiang Zheng, Liang Wang, Quanquan Gu
ICMLW 2024 Antigen-Specific Antibody Design via Direct Energy-Based Preference Optimization Xiangxin Zhou, Dongyu Xue, Ruizhe Chen, Zaixiang Zheng, Liang Wang, Quanquan Gu
ICLRW 2024 Large Language Model Bias Mitigation from the Perspective of Knowledge Editing Ruizhe Chen, Yichen Li, Zikai Xiao, Zuozhu Liu
AAAI 2024 Robustness-Guided Image Synthesis for Data-Free Quantization Jianhong Bai, Yuchen Yang, Huanpeng Chu, Hualiang Wang, Zuozhu Liu, Ruizhe Chen, Xiaoxuan He, Lianrui Mu, Chengfei Cai, Haoji Hu
NeurIPS 2023 Fast Model DeBias with Machine Unlearning Ruizhe Chen, Jianfei Yang, Huimin Xiong, Jianhong Bai, Tianxiang Hu, Jin Hao, Yang Feng, Joey Tianyi Zhou, Jian Wu, Zuozhu Liu
NeurIPS 2023 Towards Distribution-Agnostic Generalized Category Discovery Jianhong Bai, Zuozhu Liu, Hualiang Wang, Ruizhe Chen, Lianrui Mu, Xiaomeng Li, Joey Tianyi Zhou, Yang Feng, Jian Wu, Haoji Hu