| 2026 | ACL | Logical Consistency as a Bridge: Improving LLM Hallucination Detection via Label Constraint Modeling between Responses and Self-Judgments. | Hao Mi, Qiang Sheng, Shaofei Wang, Beizhe Hu, Yifan Sun, Zhengjia Wang, Hengqi Zeng, Yang Li, Danding Wang, Juan Cao |
| 2026 | EACL | Tailoring Rumor Debunking to You: Diversifying Chinese Rumor-Debunking Passages with an LLM-Driven Simulated Feedback-Enhanced Framework. | Xinle Pang, Danding Wang, Qiang Sheng, Yifan Sun, Beizhe Hu, Juan Cao |
| 2025 | CIKM | Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection. | Zhengjia Wang, Qiang Sheng, Danding Wang, Beizhe Hu, Juan Cao |
| 2025 | CIKM | Enhancing Fake News Video Detection via LLM-Driven Creative Process Simulation. | Yuyan Bu, Qiang Sheng, Juan Cao, Shaofei Wang, Peng Qi, Yuhui Shi, Beizhe Hu |
| 2025 | SIGIR | 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 |
| 2024 | AAAI | 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 |
| 2024 | CIKM | Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models. | Qiong Nan, Qiang Sheng, Juan Cao, Beizhe Hu, Danding Wang, Jintao Li |
| 2024 | IJCAI | Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling. | Yuhui Shi, Qiang Sheng, Juan Cao, Hao Mi, Beizhe Hu, Danding Wang |
| 2023 | ACL | Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection. | Beizhe Hu, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Zhengjia Wang, Zhiwei Jin |