I am a second-year PhD student at the Media Synthesis and Forensics Lab (formerly known as Multimedia Computing Group), Instutite of Computing Technology, Chinese Academy of Sciences, advised by professor Juan Cao and assistant professor (researcher) Qiang Sheng.

My research interest includes toxic content detection, jailbreaking, alignment, and fake news detection, in the era of large language models.

🔥 News

📖 Educations

2023.09 - now, PhD Candidate
- Institute of Computing Technology, Chinese Academy of Sciences.
2019.09 - 2023.06, Bachelor of Engineering
- School of Computer Science and Technology, Shandong University.

Preprint

Yang Li, Qiang Sheng, Yehan Yang, Xueyao Zhang, Juan Cao

Data: We construct FineHarm, a dataset consisting of 29K prompt-response pairs with fine-grained annotations to provide reasonable supervision for token-level training.
Model: we propose the Streaming Content Monitor (SCM), which is trained with dual supervision of response- and token-level labels and can follow the output stream of LLM to make a timely judgment of harmfulness.

[SIGIR 2025] LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation

Beizhe Hu, Qiang Sheng, Juan Cao, Yang Li, Danding Wang
[AAAI 2024] Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection

Beizhe Hu, Qiang Sheng, Juan Cao, Yuhui Shi, Yang Li, Danding Wang, Peng Qi
[Preprint] For a More Comprehensive Evaluation of 6Dof Object Pose Tracking

Yang Li, Fan Zhong, Xin Wang, Shuangbing Song, Jiachen Li, Xueying Qin, Changhe Tu

2025 Merit Student, University of Chinese Academy of Sciences.
2024 Second-Class Academic Scholarship, University of Chinese Academy of Sciences.
2023 Freshman Scholarship of E Fund Financial Technology.
2023 First-Class Academic Scholarship, University of Chinese Academy of Sciences.
2022 Second Prize of Shandong Province, China Undergraduate Mathematical Contest in Modeling.
2022 Third-Class Academic Scholarship, Shandong University.