About me

I’m Zongqi Wang. I am currently a final year master’s student supervised by Prof.Yang at Tsinghua University. I received my bachelor’s degree from Xidian University. My previous research focused on AI Safety. Now, my research interests are primarily in Agent, RL, Verifier, RM, Eval.

🔥 News

• 2026.05: 🎉🎉 2 papers about Reward Model are accepted to EMNLP 2026.
• 2026.05: 🎉🎉 1 paper about Reward Model is accepted to ICML 2026.
• 2026.04: 🎉🎉 2 papers about Reward Model and LLM safety are accepted to ACL 2026 Main (1 oral).
• 2026.01: 🎉🎉 1 paper about Reward Model is accepted to ICLR 2026 oral.
• 2025.08: 🎉🎉 1 paper about LLM safety is accepted to EMNLP 2026 oral.
• 2025.05: 🎉🎉 2 papers about LLM safety are accepted to ACL 2025 Main and Findings.

📝 Publications

⚖️ Reward Model

• SocialArena: Evaluating Social Intelligence in Large Language Models
  • Zongqi Wang, Rui Wang, Yuchuan Wu, Hua Yang, Bingxue Qiu, Tianle Gu, Bing Zhao, Yujiu Yang, Jieping Ye, Yongbin Li
  • EMNLP 2026
• Reward Modeling from Natural Language Human Feedback
  • Zongqi Wang, Rui Wang, Yuchuan Wu, Yiyao Yu, Pinyi Zhang, Shaoning Sun, Yujiu Yang, Yongbin Li
  • ICML 2026 [pdf]
• 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
  • arXiv 2026.02 [pdf]
• 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
  • ICLR 2026 (Oral) [pdf]
• 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
  • EMNLP 2026 [pdf]
• SCAN: Structured Capability Assessment and Navigation for LLMs
  • Zongqi Wang, Tianle Gu, Chen Gong, Xin Tian, Siqi Bao, Yujiu Yang
  • ACL 2026 Main (Oral) [project][pdf][code]

🛡️ LLM Safety

• 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
  • ACL 2026 Main [pdf]
• Invisible Entropy: Towards Safe and Efficient Low-Entropy LLM Watermarking
  • Tianle Gu*, Zongqi Wang*, Kexin Huang, Yuanqi Yao, Xiangliang Zhang, Yujiu Yang, Xiuying Chen
  • EMNLP 2025 Main (Oral) [pdf][code]
• MorphMark: Flexible Adaptive Watermarking for Large Language Models
  • Zongqi Wang, Tianle Gu, Baoyuan Wu, Yujiu Yang
  • ACL 2025 Main [pdf][code]
• Robust and Minimally Invasive Watermarking for EaaS
  • Zongqi Wang, Baoyuan Wu, Jingyuan Deng, Yujiu Yang
  • ACL 2025 Findings [pdf][code]
• Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations
  • Decheng Liu*, Zongqi Wang*, Chunlei Peng, Nannan Wang, Ruimin Hu, Xinbo Gao
  • AAAI 2025 [pdf][code]

💻 Internships

• 2026.04 - Present, Tencent Hunyuan Post-training.
• 2025.06 - 2026.04, Alibaba Qwen Character.
• 2024.12 - 2025.05, Baidu ERNIE Bot NLP.

📖 Educations

• 2024.09 - 2027.06, Master’s degree (Expected), Tsinghua University
• 2020.09 - 2024.06, Bachelor’s degree, Xidian University