Wen, Xumeng

5 publications

ICLR 2026 Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs Xumeng Wen, Zihan Liu, Shun Zheng, Shengyu Ye, Zhirong Wu, Yang Wang, Zhijian Xu, Xiao Liang, Junjie Li, Ziming Miao, Jiang Bian, Mao Yang

NeurIPS 2024 ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer Jiawen Zhang, Shun Zheng, Xumeng Wen, Xiaofang Zhou, Jiang Bian, Jia Li

TMLR 2024 NuTime: Numerically Multi-Scaled Embedding for Large- Scale Time-Series Pretraining Chenguo Lin, Xumeng Wen, Wei Cao, Congrui Huang, Jiang Bian, Stephen Lin, Zhirong Wu

NeurIPS 2024 ProbTS: Benchmarking Point and Distributional Forecasting Across Diverse Prediction Horizons Jiawen Zhang, Xumeng Wen, Zhenwei Zhang, Shun Zheng, Jia Li, Jiang Bian

NeurIPSW 2024 Scaling Generative Tabular Learning for Large Language Models Yiming Sun, Xumeng Wen, Shun Zheng, Xiaowei Jia, Jiang Bian