Exploring Health Misinformation Detection with Multi-Agent Debate
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Chih-Han, Tsai, Chen-Han, Peng, Yu-Shao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond Detection: Exploring Evidence-based Multi-Agent Debate for Misinformation Intervention and Persuasion
by: Han, Chen, et al.
Published: (2025)
by: Han, Chen, et al.
Published: (2025)
Using Persuasive Writing Strategies to Explain and Detect Health Misinformation
by: Kamali, Danial, et al.
Published: (2022)
by: Kamali, Danial, et al.
Published: (2022)
PD$^3$: A Project Duplication Detection Framework via Adapted Multi-Agent Debate
by: Bao, Dezheng, et al.
Published: (2025)
by: Bao, Dezheng, et al.
Published: (2025)
Multi-Agent Debate: A Unified Agentic Framework for Tabular Anomaly Detection
by: Wang, Pinqiao, et al.
Published: (2026)
by: Wang, Pinqiao, et al.
Published: (2026)
Mol-Debate: Multi-Agent Debate Improves Structural Reasoning in Molecular Design
by: Zhang, Wengyu, et al.
Published: (2026)
by: Zhang, Wengyu, et al.
Published: (2026)
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate
by: Wang, Jianze, et al.
Published: (2026)
by: Wang, Jianze, et al.
Published: (2026)
Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models
by: Han, Chen, et al.
Published: (2025)
by: Han, Chen, et al.
Published: (2025)
PromptTSS: A Prompting-Based Approach for Interactive Multi-Granularity Time Series Segmentation
by: Chang, Ching, et al.
Published: (2025)
by: Chang, Ching, et al.
Published: (2025)
Multi-task Heterogeneous Graph Learning on Electronic Health Records
by: Chan, Tsai Hor, et al.
Published: (2024)
by: Chan, Tsai Hor, et al.
Published: (2024)
MemPromptTSS: Persistent Prompt Memory for Iterative Multi-Granularity Time Series State Segmentation
by: Chang, Ching, et al.
Published: (2025)
by: Chang, Ching, et al.
Published: (2025)
MAD-Sherlock: Multi-Agent Debate for Visual Misinformation Detection
by: Lakara, Kumud, et al.
Published: (2024)
by: Lakara, Kumud, et al.
Published: (2024)
Neural Probabilistic Circuits: Enabling Compositional and Interpretable Predictions through Logical Reasoning
by: Chen, Weixin, et al.
Published: (2025)
by: Chen, Weixin, et al.
Published: (2025)
Training Agents to Self-Report Misbehavior
by: Lee, Bruce W., et al.
Published: (2026)
by: Lee, Bruce W., et al.
Published: (2026)
MPLite: Multi-Aspect Pretraining for Mining Clinical Health Records
by: Yang, Eric, et al.
Published: (2024)
by: Yang, Eric, et al.
Published: (2024)
Detecting Scarce and Sparse Anomalous: Solving Dual Imbalance in Multi-Instance Learning
by: Jia, Lin-Han, et al.
Published: (2025)
by: Jia, Lin-Han, et al.
Published: (2025)
Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness
by: Yang, Yongjin, et al.
Published: (2025)
by: Yang, Yongjin, et al.
Published: (2025)
MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery
by: Li, Dong, et al.
Published: (2026)
by: Li, Dong, et al.
Published: (2026)
MedInsightBench: Evaluating Medical Analytics Agents Through Multi-Step Insight Discovery in Multimodal Medical Data
by: Zhu, Zhenghao, et al.
Published: (2025)
by: Zhu, Zhenghao, et al.
Published: (2025)
Multi-Scale Adaptive Neighborhood Awareness Transformer For Graph Fraud Detection
by: Lv, Jiaqi, et al.
Published: (2026)
by: Lv, Jiaqi, et al.
Published: (2026)
Co-jump: Cooperative Jumping with Quadrupedal Robots via Multi-Agent Reinforcement Learning
by: Dong, Shihao, et al.
Published: (2026)
by: Dong, Shihao, et al.
Published: (2026)
Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery
by: Shen, ChengAo, et al.
Published: (2024)
by: Shen, ChengAo, et al.
Published: (2024)
TEAFormers: TEnsor-Augmented Transformers for Multi-Dimensional Time Series Forecasting
by: Kong, Linghang, et al.
Published: (2024)
by: Kong, Linghang, et al.
Published: (2024)
Can LLM-Generated Misinformation Be Detected?
by: Chen, Canyu, et al.
Published: (2023)
by: Chen, Canyu, et al.
Published: (2023)
Debate as Reward: A Multi-Agent Reward System for Scientific Ideation via RL Post-Training
by: Salimi, Moein, et al.
Published: (2026)
by: Salimi, Moein, et al.
Published: (2026)
Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection
by: Sun, Li, et al.
Published: (2026)
by: Sun, Li, et al.
Published: (2026)
Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning
by: Liu, Zeyang, et al.
Published: (2024)
by: Liu, Zeyang, et al.
Published: (2024)
MO-RiskVAE: A Multi-Omics Variational Autoencoder for Survival Risk Modeling in Multiple MyelomaMO-RiskVAE
by: Chen, Zixuan, et al.
Published: (2026)
by: Chen, Zixuan, et al.
Published: (2026)
WISE: Weighted Iterative Society-of-Experts for Robust Multimodal Multi-Agent Debate
by: Cherian, Anoop, et al.
Published: (2025)
by: Cherian, Anoop, et al.
Published: (2025)
Multi-agent Systems for Misinformation Lifecycle : Detection, Correction And Source Identification
by: Gautam, Aditya
Published: (2025)
by: Gautam, Aditya
Published: (2025)
Argumentative Debates for Transparent Bias Detection [Technical Report]
by: Ayoobi, Hamed, et al.
Published: (2025)
by: Ayoobi, Hamed, et al.
Published: (2025)
Diversity of Thought Elicits Stronger Reasoning Capabilities in Multi-Agent Debate Frameworks
by: Hegazy, Mahmood
Published: (2024)
by: Hegazy, Mahmood
Published: (2024)
Harmful Visual Content Manipulation Matters in Misinformation Detection Under Multimedia Scenarios
by: Wang, Bing, et al.
Published: (2026)
by: Wang, Bing, et al.
Published: (2026)
Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning
by: Ni, Hang, et al.
Published: (2025)
by: Ni, Hang, et al.
Published: (2025)
MASTEST: A LLM-Based Multi-Agent System For RESTful API Tests
by: Han, Xiaoke, et al.
Published: (2025)
by: Han, Xiaoke, et al.
Published: (2025)
Understanding and Improving Adversarial Robustness of Neural Probabilistic Circuits
by: Chen, Weixin, et al.
Published: (2025)
by: Chen, Weixin, et al.
Published: (2025)
Causal Neural Probabilistic Circuits
by: Chen, Weixin, et al.
Published: (2026)
by: Chen, Weixin, et al.
Published: (2026)
Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection
by: Wahle, Jan Philip, et al.
Published: (2021)
by: Wahle, Jan Philip, et al.
Published: (2021)
QUAIL: Quantization Aware Unlearning for Mitigating Misinformation in LLMs
by: Mishra, Himanshu, et al.
Published: (2026)
by: Mishra, Himanshu, et al.
Published: (2026)
Toward a Safer Web: Multilingual Multi-Agent LLMs for Mitigating Adversarial Misinformation Attacks
by: Aldahoul, Nouar, et al.
Published: (2025)
by: Aldahoul, Nouar, et al.
Published: (2025)
TCOD: Exploring Temporal Curriculum in On-Policy Distillation for Multi-turn Autonomous Agents
by: Wang, Jiaqi, et al.
Published: (2026)
by: Wang, Jiaqi, et al.
Published: (2026)
Similar Items
-
Beyond Detection: Exploring Evidence-based Multi-Agent Debate for Misinformation Intervention and Persuasion
by: Han, Chen, et al.
Published: (2025) -
Using Persuasive Writing Strategies to Explain and Detect Health Misinformation
by: Kamali, Danial, et al.
Published: (2022) -
PD$^3$: A Project Duplication Detection Framework via Adapted Multi-Agent Debate
by: Bao, Dezheng, et al.
Published: (2025) -
Multi-Agent Debate: A Unified Agentic Framework for Tabular Anomaly Detection
by: Wang, Pinqiao, et al.
Published: (2026) -
Mol-Debate: Multi-Agent Debate Improves Structural Reasoning in Molecular Design
by: Zhang, Wengyu, et al.
Published: (2026)