Jizhou Guo

According to our database, Jizhou Guo authored at least 10 papers between 2024 and 2026.

Collaborative distances:

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

2026

Mining Intrinsic Rewards from LLM Hidden States for Efficient Best-of-N Sampling.

Jizhou Guo, Zhaomin Wu, Hanchen Yang, Philip S. Yu

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

DeepResearchGuard: Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety.

Wei-Chieh Huang, Henry Peng Zou, Yaozu Wu, Dongyuan Li, Yankai Chen, Weizhi Zhang, Yangning Li, Angelo Zangari, Jizhou Guo, Chunyu Miao, Liancheng Fang, Langzhou He, Renhe Jiang, Philip S. Yu

CoRR, October, 2025

RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback.

Chunyu Miao, Henry Peng Zou, Yangning Li, Yankai Chen, Yibo Wang, Fangxin Wang, Yifan Li, Wooseong Yang, Bowei He, Xinni Zhang, Dianzhi Yu, Hanchen Yang, Hoang H. Nguyen, Yue Zhou, Jie Yang, Jizhou Guo, Wenzhe Fan, Chin-Yuan Yeh, Panpan Meng, Liancheng Fang, Jinhu Qi, Wei-Chieh Huang, Zhengyao Gu, Yuwei Han, Langzhou He, Yuyao Yang, Yinghui Li, Hai-Tao Zheng, Xue Liu, Irwin King, Philip S. Yu

CoRR, October, 2025

LLM DNA: Tracing Model Evolution via Functional Representations.

Zhaomin Wu, Haodong Zhao, Ziyang Wang, Jizhou Guo, Qian Wang, Bingsheng He

CoRR, September, 2025

PSG-Agent: Personality-Aware Safety Guardrail for LLM-based Agents.

Yaozu Wu, Jizhou Guo, Dongyuan Li, Henry Peng Zou, Wei-Chieh Huang, Yankai Chen, Zhen Wang, Weizhi Zhang, Yangning Li, Meng Zhang, Renhe Jiang, Philip S. Yu

CoRR, September, 2025

LENS: Learning Ensemble Confidence from Neural States for Multi-LLM Answer Integration.

Jizhou Guo

CoRR, July, 2025

Reward Inside the Model: A Lightweight Hidden-State Reward Model for LLM's Best-of-N sampling.

Jizhou Guo, Zhaomin Wu, Philip S. Yu

CoRR, May, 2025

Model-based Large Language Model Customization as Service.

Zhaomin Wu, Jizhou Guo, Junyi Hou, Bingsheng He, Lixin Fan, Qiang Yang

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

2024

Model-Based Differentially Private Knowledge Transfer for Large Language Models.

Zhaomin Wu, Jizhou Guo, Junyi Hou, Bingsheng He, Lixin Fan, Qiang Yang

CoRR, 2024

Calibrating Reasoning in Language Models with Internal Consistency.

Zhihui Xie, Jizhou Guo, Tong Yu, Shuai Li

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024