Zongqi Wang

According to our database, Zongqi Wang authored at least 13 papers between 2024 and 2026.

Collaborative distances:

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

2026

P-GenRM: Personalized Generative Reward Model with Test-time User-based Scaling.

Pinyi Zhang, Ting-En Lin, Yuchuan Wu, Jingyang Chen, Zongqi Wang, Hua Yang, Ze Xu, Fei Huang, Kai Zhang, Yongbin Li

CoRR, February, 2026

From Sparse Decisions to Dense Reasoning: A Multi-attribute Trajectory Paradigm for Multimodal Moderation.

Tianle Gu, Kexin Huang, Lingyu Li, Ruilin Luo, Shiyang Huang, Zongqi Wang, Yujiu Yang, Yan Teng, Yingchun Wang

CoRR, February, 2026

Reward Modeling from Natural Language Human Feedback.

Zongqi Wang, Rui Wang, Yuchuan Wu, Yiyao Yu, Pinyi Zhang, Shaoning Sun, Yujiu Yang, Yongbin Li

CoRR, January, 2026

SCAN: Structured Capability Assessment and Navigation for LLMs.

Zongqi Wang, Tianle Gu, Chen Gong, Xin Tian, Siqi Bao, Yujiu Yang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

S2J: Bridging the Gap Between Solving and Judging Ability in Generative Reward Models.

Shaoning Sun, Jiachen Yu, Zongqi Wang, Xuewei Yang, Tianle Gu, Yujiu Yang

CoRR, September, 2025

Probing the Robustness of Large Language Models Safety to Latent Perturbations.

Tianle Gu, Kexin Huang, Zongqi Wang, Yixu Wang, Jie Li, Yuanqi Yao, Yang Yao, Yujiu Yang, Yan Teng, Yingchun Wang

CoRR, June, 2025

From Rankings to Insights: Evaluation Should Shift Focus from Leaderboard to Feedback.

Zongqi Wang, Tianle Gu, Chen Gong, Xin Tian, Siqi Bao, Yujiu Yang

CoRR, May, 2025

Invisible Entropy: Towards Safe and Efficient Low-Entropy LLM Watermarking.

Tianle Gu, Zongqi Wang, Kexin Huang, Yuanqi Yao, Xiangliang Zhang, Yujiu Yang, Xiuying Chen

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

Robust and Minimally Invasive Watermarking for EaaS.

Zongqi Wang, Baoyuan Wu, Jingyuan Deng, Yujiu Yang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

MorphMark: Flexible Adaptive Watermarking for Large Language Models.

Zongqi Wang, Tianle Gu, Baoyuan Wu, Yujiu Yang

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

Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations.

Decheng Liu, Zongqi Wang, Chunlei Peng, Nannan Wang, Ruimin Hu, Xinbo Gao

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Modal-Oriented High-Frequency Common-Mode Switching Oscillation Suppression in Inverter-Fed Machines Using Parity-Time Symmetry.

Hao Li, Haolong Zhang, Zongqi Wang, Dawei Xiang

IEEE Trans. Ind. Electron., December, 2024

ESpeW: Robust Copyright Protection for LLM-based EaaS via Embedding-Specific Watermark.

Zongqi Wang, Baoyuan Wu, Jingyuan Deng, Yujiu Yang

CoRR, 2024