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Beizhe Hu
Observed name:
Hu, Beizhe
Institutions:
Chinese Academy of Sciences,
Institute of Computing Technology,
University of Chinese Academy of Sciences
Observed institutions:
Chinese Academy of Sciences,
Institute of Computing Technology,
University of Chinese Academy of Sciences
ORCID:
0009-0006-1678-5772
Observed ORCID:
0009-0006-1678-5772
OpenAlex ID:
A5101230819
Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection
2024
·
Beizhe Hu
, Qiang Sheng
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
234
PDF
Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models
2024
·
Qiong Nan
, Qiang Sheng
, et al.
·
ACM International Conference on Information and Knowledge Management (CIKM)
·
67
Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection
2023
·
Beizhe Hu
, Qiang Sheng
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
26
PDF
LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation
2025
·
Beizhe Hu
, Qiang Sheng
, et al.
·
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
·
7
PDF
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection
2025
·
Zhengjia Wang
, Qiang Sheng
, et al.
·
ACM International Conference on Information and Knowledge Management (CIKM)
·
6
Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection
2023
·
Hu, Beizhe
, Sheng, Qiang
, et al.
·
arXiv (Cornell University)
·
3
PDF
Enhancing Fake News Video Detection via LLM-Driven Creative Process Simulation
2025
·
Yuyan Bu
, Qiang Sheng
, et al.
·
ACM International Conference on Information and Knowledge Management (CIKM)
·
1
EvoFEND: Dual Memory-Driven Self-Evolving Fake News Detection
2026
·
Beizhe Hu
, Qiang Sheng
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
Logical Consistency as a Bridge: Improving LLM Hallucination Detection via Label Constraint Modeling between Responses and Self-Judgments
2026
·
Mi, Hao
, Sheng, Qiang
, et al.
·
arXiv (Cornell University)
PDF
Tailoring Rumor Debunking to You: Diversifying Chinese Rumor-Debunking Passages with an LLM-Driven Simulated Feedback-Enhanced Framework
2026
·
Association for Computational Linguistics 2026
, Cao, Juan
, et al.
·
Underline Science Inc.
Tailoring Rumor Debunking to You: Diversifying Chinese Rumor-Debunking Passages with an LLM-Driven Simulated Feedback-Enhanced Framework
2026
·
Xinle Pang
, Danding Wang
, et al.
·
Conference of the European Chapter of the Association for Computational Linguistics
PDF
Logical Consistency as a Bridge: Improving LLM Hallucination Detection via Label Constraint Modeling between Responses and Self-Judgments
2026
·
Hao Mi
, Qiang Sheng
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
PhantomHunter: Detecting Unseen Privately-Tuned LLM-Generated Text via Family-Aware Learning
2025
·
Shi, Yuhui
, Yang, Yehan
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
13
Citation count:
344
H-index:
5
I10-index:
3
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