Xingcheng Xu

According to our database, Xingcheng Xu authored at least 19 papers between 2022 and 2026.

Collaborative distances:

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

2026

TrinityGuard: A Unified Framework for Safeguarding Multi-Agent Systems.

Kai Wang, Biaojie Zeng, Zeming Wei, Chang Jin, Hefeng Zhou, Xiangtian Li, Chao Yang, Jingjing Qu, Xingcheng Xu, Xia Hu

CoRR, March, 2026

Epistemic Traps: Rational Misalignment Driven by Model Misspecification.

Xingcheng Xu, Jingjing Qu, Qiaosheng Zhang, Chaochao Lu, Yanqing Yang, Na Zou, Xia Hu

CoRR, February, 2026

CoT is Not the Chain of Truth: An Empirical Internal Analysis of Reasoning LLMs for Fake News Generation.

Zhao Tong, Chunlin Gong, Yiping Zhang, Haichao Shi, Qiang Liu, Xingcheng Xu, Shu Wu, Xiaoyu Zhang

CoRR, February, 2026

RAPO: Risk-Aware Preference Optimization for Generalizable Safe Reasoning.

Zeming Wei, Qiaosheng Zhang, Xia Hu, Xingcheng Xu

CoRR, February, 2026

MAGIC: A Co-Evolving Attacker-Defender Adversarial Game for Robust LLM Safety.

Xiaoyu Wen, Zhida He, Han Qi, Ziyu Wan, Zhongtian Ma, Ying Wen, Tianhang Zheng, Xingcheng Xu, Chaochao Lu, Qiaosheng Zhang

CoRR, February, 2026

A Real-Time Automated Library Inventory System Based on Edge-Cloud Collaboration.

Lu Zhu, Zhihui Gu, Kai Zhu, Xingcheng Xu, Jingzhi Wang, Yuanyuan Liu

Concurr. Comput. Pract. Exp., February, 2026

KALE: Enhancing Knowledge Manipulation in Large Language Models via Knowledge-aware Learning.

Qitan Lv, Tianyu Liu, Qiaosheng Zhang, Xingcheng Xu, Chaochao Lu

CoRR, January, 2026

The Two-Stage Decision-Sampling Hypothesis: Understanding the Emergence of Self-Reflection in RL-Trained LLMs.

Zibo Zhao, Yuanting Zha, Haipeng Zhang, Xingcheng Xu

CoRR, January, 2026

2025

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

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

SCM-YOLO-P: lightweight feature re-focusing pavement defect detection model.

Xingcheng Xu, Yuanyuan Liu, Lu Zhu, Qian Xiao, Jingzhi Wang, Zhihui Gu

J. Electronic Imaging, 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