Zhang, Ruizhe

11 publications

AAAI 2025 KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models Ruizhe Zhang, Yongxin Xu, Yuzhen Xiao, Runchuan Zhu, Xinke Jiang, Xu Chu, Junfeng Zhao, Yasha Wang
AISTATS 2024 A General Algorithm for Solving Rank-One Matrix Sensing Lianke Qin, Zhao Song, Ruizhe Zhang
AISTATS 2024 Fast Dynamic Sampling for Determinantal Point Processes Zhao Song, Junze Yin, Lichen Zhang, Ruizhe Zhang
NeurIPS 2024 LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models Haitao Li, You Chen, Qingyao Ai, Yueyue Wu, Ruizhe Zhang, Yiqun Liu
JMLR 2024 Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK Hongru Yang, Ziyu Jiang, Ruizhe Zhang, Yingbin Liang, Zhangyang Wang
NeurIPS 2024 RAGraph: A General Retrieval-Augmented Graph Learning Framework Xinke Jiang, Rihong Qiu, Yongxin Xu, Wentao Zhang, Yichen Zhu, Ruizhe Zhang, Yuchen Fang, Xu Chu, Junfeng Zhao, Yasha Wang
NeurIPS 2023 Bypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing Josh Alman, 杰昊 梁, Zhao Song, Ruizhe Zhang, Danyang Zhuo
NeurIPS 2022 Fast Distance Oracles for Any Symmetric Norm Yichuan Deng, Zhao Song, Omri Weinstein, Ruizhe Zhang
NeurIPS 2022 Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants Andrew M. Childs, Tongyang Li, Jin-Peng Liu, Chunhao Wang, Ruizhe Zhang
NeurIPS 2022 Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits Tongyang Li, Ruizhe Zhang
NeurIPS 2021 Does Preprocessing Help Training Over-Parameterized Neural Networks? Zhao Song, Shuo Yang, Ruizhe Zhang