MIC: Explaining Image-Claim Inconsistencies in AI-Generated Multimodal Misinformation

arXiv:2609.33441 · cs.CL · Submitted 2026-09-27 · Read on arXiv

cs.CL

Submitted: 2026-09-27

Updated: 2026-09-27

Code: https://github.com/UKPLab/arxiv2026-mic

Terminology

• GRPO — 30× in this paper · explained in 6 episodes
• Verification — 24× in this paper · explained in 2 episodes
• Benchmark — 17× in this paper · explained in 2 episodes
• Consistency — 13× in this paper · explained in 3 episodes
• Generalization — 11× in this paper · explained in 13 episodes
• Adaptation — 7× in this paper · explained in 1 episode
• Accuracy — 6× in this paper · explained in 1 episode
• Provenance — 5× in this paper · explained in 4 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Semantic Similarity — 4× in this paper · explained in 2 episodes
• Trace — 4× in this paper · explained in 2 episodes
• Verifiable Rewards — 4× in this paper · explained in 2 episodes
• Fidelity — 3× in this paper · explained in 2 episodes
• Grounding — 3× in this paper · explained in 3 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Ablation study — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Annotator Agreement — 2× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 4 episodes
• Chain-of-Thought (CoT) — 2× in this paper · explained in 4 episodes
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 3 episodes
• LLM judge — 2× in this paper · explained in 2 episodes
• LoRA Adapters — 2× in this paper · explained in 3 episodes
• Reward Function — 2× in this paper · explained in 2 episodes
• Structured Reasoning — 2× in this paper · explained in 3 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Group Relative Policy Optimization — 1× in this paper
• Group Relative Policy Optimization (GRPO) — 1× in this paper · explained in 5 episodes
• KL Regularization — 1× in this paper · explained in 2 episodes
• Reasoning Traces — 1× in this paper · explained in 3 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Two-stage training — 1× in this paper · explained in 2 episodes

Sources

• Qwen2.5-VL Technical Report
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• Characterizing AI-Generated Misinformation on Social Media
• AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild
• M4FC: a Multimodal, Multilingual, Multicultural, Multitask Real-World Fact-Checking Dataset
• SynthID-Image: Image watermarking at internet scale
• Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• Semantic Visual Anomaly Detection and Reasoning in AI-Generated Images
• Qwen3-VL Technical Report
• Political Fact-Checking Efforts are Constrained by Deficiencies in Coverage, Speed, and Reach
• Fully AI-Generated Image Detection: Definition, Recent Advances and Challenges
• Qwen3 Technical Report
• Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
• InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

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