Jingcheng Deng

According to our database, Jingcheng Deng authored at least 22 papers between 2019 and 2026.

Collaborative distances:

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

2026

Latent-GRPO: Group Relative Policy Optimization for Latent Reasoning.

Jingcheng Deng, Zihao Wei, Liang Pang, Junhong Wu, Shicheng Xu, Zenghao Duan, Huawei Shen

CoRR, April, 2026

CL-bench Life: Can Language Models Learn from Real-Life Context?

Shihan Dou, Yujiong Shen, Chenhao Huang, Junjie Ye, Jiayi Chen, Junzhe Wang, Qianyu He, Shichun Liu, Changze Lv, Jiahang Lin, Jiazheng Zhang, Ming Zhang, Shaofan Liu, Tao Ji, Zhangyue Yin, Cheng Zhang, Huaibing Xie, Jianglu Hu, Jingcheng Deng, Lincheng Li, Minda Hu, Shaolei Wang, Syrus Zhao, Weichao Wang, Yan Lei, Yang Liu, Yanling Xiao, Yiting Liu, Zenan Xu, Zhen Guo, Ziliang Zhao, Pluto Zhou, Tao Gui, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang, Di Wang, Shunyu Yao

CoRR, April, 2026

SkillAttack: Automated Red Teaming of Agent Skills through Attack Path Refinement.

Zenghao Duan, Yuxin Tian, Zhiyi Yin, Liang Pang, Jingcheng Deng, Zihao Wei, Shicheng Xu, Yuyao Ge, Xueqi Cheng

CoRR, April, 2026

Projecting Out the Malice: A Global Subspace Approach to LLM Detoxification.

Zenghao Duan, Zhiyi Yin, Zhichao Shi, Liang Pang, Shaoling Jing, Zihe Huang, Jiayi Wu, Yu Yan, Jingcheng Deng, Huawei Shen, Xueqi Cheng

CoRR, January, 2026

Circular Reasoning: Understanding Self-Reinforcing Loops in Large Reasoning Models.

Zenghao Duan, Liang Pang, Zihao Wei, Wenbin Duan, Yuxin Tian, Shicheng Xu, Jingcheng Deng, Zhiyi Yin, Xueqi Cheng

CoRR, January, 2026

RLKD: Distilling LLMs' Reasoning via Reinforcement Learning.

Shicheng Xu, Liang Pang, Yunchang Zhu, Jia Gu, Zihao Wei, Jingcheng Deng, Feiyang Pan, Huawei Shen, Xueqi Cheng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Latent Reasoning in LLMs as a Vocabulary-Space Superposition.

Jingcheng Deng, Liang Pang, Zihao Wei, Shicheng Xu, Zenghao Duan, Kun Xu, Yang Song, Huawei Shen, Xueqi Cheng

CoRR, October, 2025

Stop Spinning Wheels: Mitigating LLM Overthinking via Mining Patterns for Early Reasoning Exit.

Zihao Wei, Liang Pang, Jiahao Liu, Jingcheng Deng, Shicheng Xu, Zenghao Duan, Jingang Wang, Fei Sun, Xunliang Cai, Huawei Shen, Xueqi Cheng

CoRR, August, 2025

SA-GCS: Semantic-Aware Gaussian Curriculum Scheduling for UAV Vision-Language Navigation.

Hengxing Cai, Jinhan Dong, Yijie Rao, Jingcheng Deng, Jingjun Tan, Qien Chen, Haidong Wang, Zhen Wang, Shiyu Huang, Agachai Sumalee, Renxin Zhong

CoRR, August, 2025

Distilling the Implicit Multi-Branch Structure in LLMs' Reasoning via Reinforcement Learning.

Shicheng Xu, Liang Pang, Yunchang Zhu, Jia Gu, Zihao Wei, Jingcheng Deng, Feiyang Pan, Huawei Shen, Xueqi Cheng

CoRR, May, 2025

Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment.

Jingcheng Deng, Zhongtao Jiang, Liang Pang, Liwei Chen, Kun Xu, Zihao Wei, Huawei Shen, Xueqi Cheng

CoRR, February, 2025

Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models.

Jingcheng Deng, Zihao Wei, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment.

Jingcheng Deng, Zhongtao Jiang, Liang Pang, Zihao Wei, Liwei Chen, Kun Xu, Yang Song, Huawei Shen, Xueqi Cheng

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

FlightGPT: Towards Generalizable and Interpretable UAV Vision-and-Language Navigation with Vision-Language Models.

Hengxing Cai, Jinhan Dong, Jingjun Tan, Jingcheng Deng, Sihang Li, Zhifeng Gao, Haidong Wang, Zicheng Su, Agachai Sumalee, Renxin Zhong

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models.

Zihao Wei, Jingcheng Deng, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

UnKE: Unstructured Knowledge Editing in Large Language Models.

Jingcheng Deng, Zihao Wei, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng

CoRR, 2024

Stable Knowledge Editing in Large Language Models.

Zihao Wei, Liang Pang, Hanxing Ding, Jingcheng Deng, Huawei Shen, Xueqi Cheng

CoRR, 2024

Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images.

Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023

AI-Generated Images Introduce Invisible Relevance Bias to Text-Image Retrieval.

Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng

CoRR, 2023

RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling.

Jingcheng Deng, Liang Pang, Huawei Shen, Xueqi Cheng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

IRRGN: An Implicit Relational Reasoning Graph Network for Multi-turn Response Selection.

Jingcheng Deng, Hengwei Dai, Xuewei Guo, Yuanchen Ju, Wei Peng

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2019

Research on Multi-objective Grid Fault Recovery Assistant Decision Based on Krill Herd Algorithm.

Yupei Jia, Mei Xie, Jinxiu Hou, Bo Fu, Jingcheng Deng

Proceedings of the ICITEE-2019: 2nd International Conference on Information Technologies and Electrical Engineering, 2019