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Chen Han

3 accepted papers

2026

Beyond Detection: Exploring Evidence-based Multi-Agent Debate for Misinformation Intervention and Persuasion

AAAI 2026technical

Multi-agent debate (MAD) frameworks have emerged as promising approaches for misinformation detection by simulating adversarial reasoning. While prior work has focused on detection accuracy, the importance of helping users understand the reasoning behind factual judgments has been overlooked. The de

Cited by 0SourcePDFScholar
2025

Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models

EMNLP 2025

The proliferation of misinformation in digital platforms reveals the limitations of traditional detection methods, which mostly rely on static classification and fail to capture the intricate process of real-world fact-checking. Despite advancements in Large Language Models (LLMs) that enhance autom

2020

Anti-Jamming Routing For Internet of Satellites: a Reinforcement Learning Approach

ICASSP 2020accepted

The anti-jamming routing for the Internet of Satellites (IoS) has drawn increasing attentions due to the unknown interrupts, unexpected congestion and smart jamming. This paper investigates anti-jamming routing scheme for heterogeneous IoS, with the aim of minimizing anti-jamming routing cost. First…

Cited by 0SourceScholar