Dong, Qingxiu

8 publications

ICLR 2025 Data Selection via Optimal Control for Language Models Yuxian Gu, Li Dong, Hongning Wang, Yaru Hao, Qingxiu Dong, Furu Wei, Minlie Huang

ICLR 2025 Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models Bofei Gao, Feifan Song, Zhe Yang, Zefan Cai, Yibo Miao, Qingxiu Dong, Lei Li, Chenghao Ma, Liang Chen, Runxin Xu, Zhengyang Tang, Benyou Wang, Daoguang Zan, Shanghaoran Quan, Ge Zhang, Lei Sha, Yichang Zhang, Xuancheng Ren, Tianyu Liu, Baobao Chang

NeurIPS 2025 Reward Reasoning Models Jiaxin Guo, Zewen Chi, Li Dong, Qingxiu Dong, Xun Wu, Shaohan Huang, Furu Wei

ICLR 2025 Self-Boosting Large Language Models with Synthetic Preference Data Qingxiu Dong, Li Dong, Xingxing Zhang, Zhifang Sui, Furu Wei

TMLR 2025 Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models Haoran Li, Qingxiu Dong, Zhengyang Tang, Chaojun Wang, Xingxing Zhang, Haoyang Huang, Shaohan Huang, Xiaolong Huang, Zeqiang Huang, Dongdong Zhang, Yuxian Gu, Xin Cheng, Xun Wang, Si-Qing Chen, Li Dong, Wei Lu, Zhifang Sui, Benyou Wang, Wai Lam, Furu Wei

NeurIPS 2025 Think Only When You Need with Large Hybrid-Reasoning Models Lingjie Jiang, Xun Wu, Shaohan Huang, Qingxiu Dong, Zewen Chi, Li Dong, Xingxing Zhang, Tengchao Lv, Lei Cui, Furu Wei

NeurIPS 2023 Statistical Knowledge Assessment for Large Language Models Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li

IJCAI 2022 Robust Fine-Tuning via Perturbation and Interpolation from In-Batch Instances Shoujie Tong, Qingxiu Dong, Damai Dai, Yifan Song, Tianyu Liu, Baobao Chang, Zhifang Sui