Beizhe Hu

According to our database, Beizhe Hu authored at least 10 papers between 2023 and 2026.

Collaborative distances:

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

2026

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

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

PhantomHunter: Detecting Unseen Privately-Tuned LLM-Generated Text via Family-Aware Learning.

Yuhui Shi, Yehan Yang, Qiang Sheng, Hao Mi, Beizhe Hu, Chaoxi Xu, Juan Cao

CoRR, June, 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

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

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

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection.

Zhengjia Wang, Qiang Sheng, Danding Wang, Beizhe Hu, Juan Cao

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

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

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Understanding News Creation Intents: Frame, Dataset, and Method.

Zhengjia Wang, Danding Wang, Qiang Sheng, Juan Cao, Silong Su, Yifan Sun, Beizhe Hu, Siyuan Ma

CoRR, 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), 2023