Image de couverture de livre

MAD-Sherlock: Multi-Agent Debate for Visual Misinformation Detection

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lakara, Kumud, Channing, Georgia, Rupprecht, Christian, Sock, Juil, Torr, Philip, Collomosse, John, de Witt, Christian Schroeder
Format:	Preprint
Publié:	2024
Sujets:	Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap
par: Channing, Georgia, et autres
Publié: (2024)

TrueBrief: Faithful Summarization through Small Language Models
par: Lakara, Kumud, et autres
Publié: (2025)

Detecting Multi-Agent Collusion Through Multi-Agent Interpretability
par: Rose, Aaron, et autres
Publié: (2026)

DEEDEE: Fast and Scalable Out-of-Distribution Dynamics Detection
par: Aljaafari, Tala, et autres
Publié: (2025)

Secret Collusion among AI Agents: Multi-Agent Deception via Steganography
par: Motwani, Sumeet Ramesh, et autres
Publié: (2024)

Exploring Health Misinformation Detection with Multi-Agent Debate
par: Chen, Chih-Han, et autres
Publié: (2025)

Fact-Checking with Contextual Narratives: Leveraging Retrieval-Augmented LLMs for Social Media Analysis
par: Dey, Arka Ujjal, et autres
Publié: (2025)

MALT: Improving Reasoning with Multi-Agent LLM Training
par: Motwani, Sumeet Ramesh, et autres
Publié: (2024)

Beyond Detection: Exploring Evidence-based Multi-Agent Debate for Misinformation Intervention and Persuasion
par: Han, Chen, et autres
Publié: (2025)

Illusory Attacks: Information-Theoretic Detectability Matters in Adversarial Attacks
par: Franzmeyer, Tim, et autres
Publié: (2022)

Free-MAD: Consensus-Free Multi-Agent Debate
par: Cui, Yu, et autres
Publié: (2025)

On the Coexistence and Ensembling of Watermarks
par: Petrov, Aleksandar, et autres
Publié: (2025)

VET Your Agent: Towards Host-Independent Autonomy via Verifiable Execution Traces
par: Grigor, Artem, et autres
Publié: (2025)

AnnoCaseLaw: A Richly-Annotated Dataset For Benchmarking Explainable Legal Judgment Prediction
par: Sesodia, Magnus, et autres
Publié: (2025)

Multi-Agent Security Tax: Trading Off Security and Collaboration Capabilities in Multi-Agent Systems
par: Peigne-Lefebvre, Pierre, et autres
Publié: (2025)

Architecting Resilient LLM Agents: A Guide to Secure Plan-then-Execute Implementations
par: Del Rosario, Ron F., et autres
Publié: (2025)

Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and Detection
par: Nasvytis, Linas, et autres
Publié: (2024)

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency
par: Zeng, Yuting, et autres
Publié: (2025)

M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation Evaluation
par: Feng, Zhaopeng, et autres
Publié: (2024)

h1: Bootstrapping LLMs to Reason over Longer Horizons via Reinforcement Learning
par: Motwani, Sumeet Ramesh, et autres
Publié: (2025)

M3MAD-Bench: Are Multi-Agent Debates Really Effective Across Domains and Modalities?
par: Li, Ao, et autres
Publié: (2026)

Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models
par: Han, Chen, et autres
Publié: (2025)

PSyDUCK: Training-Free Steganography for Latent Diffusion
par: Mahfuz, Aqib, et autres
Publié: (2025)

Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs
par: Smit, Andries, et autres
Publié: (2023)

Mirror Learning: A Unifying Framework of Policy Optimisation
par: Kuba, Jakub Grudzien, et autres
Publié: (2022)

Towards Multi-Modal Animal Pose Estimation: A Survey and In-Depth Analysis
par: Deng, Qianyi, et autres
Publié: (2024)

iMAD: Intelligent Multi-Agent Debate for Efficient and Accurate LLM Inference
par: Fan, Wei, et autres
Publié: (2025)

MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate
par: Wang, Jianze, et autres
Publié: (2026)

MAD-Fact: A Multi-Agent Debate Framework for Long-Form Factuality Evaluation in LLMs
par: Ning, Yucheng, et autres
Publié: (2025)

Multi-Agent Debate for LLM Judges with Adaptive Stability Detection
par: Hu, Tianyu, et autres
Publié: (2025)

A Multi-Agent Framework with Automated Decision Rule Optimization for Cross-Domain Misinformation Detection
par: Li, Hui, et autres
Publié: (2025)

Toward Verifiable Misinformation Detection: A Multi-Tool LLM Agent Framework
par: Cui, Zikun, et autres
Publié: (2025)

Latent Agents: A Post-Training Procedure for Internalized Multi-Agent Debate
par: Yi, John Seon Keun, et autres
Publié: (2026)

CortexDebate: Debating Sparsely and Equally for Multi-Agent Debate
par: Sun, Yiliu, et autres
Publié: (2025)

OpenSanctions Pairs: Large-Scale Entity Matching with LLMs
par: Smith, Chandler, et autres
Publié: (2026)

Web Retrieval Agents for Evidence-Based Misinformation Detection
par: Tian, Jacob-Junqi, et autres
Publié: (2024)

MV-Debate: Multi-view Agent Debate with Dynamic Reflection Gating for Multimodal Harmful Content Detection in Social Media
par: Lu, Rui, et autres
Publié: (2025)

OMNI-LEAK: Orchestrator Multi-Agent Network Induced Data Leakage
par: Naik, Akshat, et autres
Publié: (2026)

DynaDebate: Breaking Homogeneity in Multi-Agent Debate with Dynamic Path Generation
par: Li, Zhenghao, et autres
Publié: (2026)

RUMAD: Reinforcement-Unifying Multi-Agent Debate
par: Wang, Chao, et autres
Publié: (2026)