Yang, Chengrun

8 publications

TMLR 2025 SETS: Leveraging Self-Verification and Self-Correction for Improved Test-Time Scaling Jiefeng Chen, Jie Ren, Xinyun Chen, Chengrun Yang, Ruoxi Sun, Jinsung Yoon, Sercan O Arik

ICLR 2024 Large Language Models as Optimizers Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V Le, Denny Zhou, Xinyun Chen

NeurIPS 2024 Long-Form Factuality in Large Language Models Jerry Wei, Chengrun Yang, Xinying Song, Yifeng Lu, Nathan Hu, Jie Huang, Dustin Tran, Daiyi Peng, Ruibo Liu, Da Huang, Cosmo Du, Quoc V. Le

TMLR 2023 Euclidean-Norm-Induced Schatten-P Quasi-Norm Regularization for Low-Rank Tensor Completion and Tensor Robust Principal Component Analysis Jicong Fan, Lijun Ding, Chengrun Yang, Zhao Zhang, Madeleine Udell

ICLR 2022 How Low Can We Go: Trading Memory for Error in Low-Precision Training Chengrun Yang, Ziyang Wu, Jerry Chee, Christopher De Sa, Madeleine Udell

NeurIPS 2022 TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets Chengrun Yang, Gabriel Bender, Hanxiao Liu, Pieter-Jan Kindermans, Madeleine Udell, Yifeng Lu, Quoc V Le, Da Huang

AISTATS 2021 TenIPS: Inverse Propensity Sampling for Tensor Completion Chengrun Yang, Lijun Ding, Ziyang Wu, Madeleine Udell

ICML 2020 Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence Lijun Ding, Yingjie Fei, Qiantong Xu, Chengrun Yang