Xingcheng Xu

According to our database, Xingcheng Xu authored at least 11 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

The Policy Cliff: A Theoretical Analysis of Reward-Policy Maps in Large Language Models.

Xingcheng Xu

CoRR, July, 2025

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45^° Law.

Yicheng Bao, Guanxu Chen, Mingkang Chen, Yunhao Chen, Chiyu Chen, Lingjie Chen, Sirui Chen, Xinquan Chen, Jie Cheng, Yu Cheng, Dengke Deng, Yizhuo Ding, Dan Ding, Xiaoshan Ding, Yi Ding, Zhichen Dong, Lingxiao Du, Yuyu Fan, Xinshun Feng, Yanwei Fu, Yuxuan Gao, Ruijun Ge, Tianle Gu, Lujun Gui, Jiaxuan Guo, Qianxi He, Yuenan Hou, Xuhao Hu, Hong Huang, Kaichen Huang, Shiyang Huang, Yuxian Jiang, Shanzhe Lei, Jie Li, Lijun Li, Hao Li, Juncheng Li, Xiangtian Li, Yafu Li, Lingyu Li, Xueyan Li, Haotian Liang, Dongrui Liu, Qihua Liu, Zhixuan Liu, Bangwei Liu, Huacan Liu, Yuexiao Liu, Zongkai Liu, Chaochao Lu, Yudong Lu, Xiaoya Lu, Zhenghao Lu, Qitan Lv, Caoyuan Ma, Jiachen Ma, Xiaoya Ma, Zhongtian Ma, Lingyu Meng, Ziqi Miao, Yazhe Niu, Yuezhang Peng, Yuan Pu, Han Qi, Chen Qian, Xingge Qiao, Jingjing Qu, Jiashu Qu, Wanying Qu, Wenwen Qu, Xiaoye Qu, Qihan Ren, Qingnan Ren, Qingyu Ren, Jing Shao, Wenqi Shao, Shuai Shao, Dongxing Shi, Xin Song, Xinhao Song, Yan Teng, Xuan Tong, Yingchun Wang, Xuhong Wang, Shujie Wang, Xin Wang, Yige Wang, Yixu Wang, Yuanfu Wang, Futing Wang, Ruofan Wang, Wenjie Wang, Yajie Wang, Muhao Wei, Xiaoyu Wen, Fenghua Weng, Yuqi Wu, Yingtong Xiong, Xingcheng Xu

CoRR, July, 2025

DeepInnovation AI: A Global Dataset Mapping the AI innovation from Academic Research to Industrial Patents.

Haixing Gong, Zou Hui, Liang Xingzhou, Shiyuan Meng, Pinlong Cai, Xingcheng Xu, Jingjing Qu

CoRR, March, 2025

Principled Understanding of Generalization for Generative Transformer Models in Arithmetic Reasoning Tasks.

Xingcheng Xu, Zibo Zhao, Haipeng Zhang, Yanqing Yang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Relating the Seemingly Unrelated: Principled Understanding of Generalization for Generative Models in Arithmetic Reasoning Tasks.

Xingcheng Xu, Zibo Zhao, Haipeng Zhang, Yanqing Yang

CoRR, 2024

Optimal Trade and Industrial Policies in the Global Economy: A Deep Learning Framework.

Zi Wang, Xingcheng Xu, Yanqing Yang, Xiaodong Zhu

CoRR, 2024

Machine Learning for Economic Forecasting: An Application to China's GDP Growth.

Yanqing Yang, Xingcheng Xu, Jinfeng Ge, Yan Xu

CoRR, 2024

It Ain't That Bad: Understanding the Mysterious Performance Drop in OOD Generalization for Generative Transformer Models.

Xingcheng Xu, Zihao Pan, Haipeng Zhang, Yanqing Yang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Large Language Models at Work in China's Labor Market.

Qin Chen, Jinfeng Ge, Huaqing Xie, Xingcheng Xu, Yanqing Yang

CoRR, 2023

Deep Generative Modeling with Backward Stochastic Differential Equations.

Xingcheng Xu

CoRR, 2023

2022

GAMMT: Generative Ambiguity Modeling Using Multiple Transformers.

Xingcheng Xu

CoRR, 2022