#multi-modal-llm News & Analysis

3 articles tagged with #multi-modal-llm. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AIBullisharXiv – CS AI · Mar 97/10

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RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model

Researchers introduce RAG-Driver, a retrieval-augmented multi-modal large language model designed for autonomous driving that can provide explainable decisions and control predictions. The system addresses data scarcity and generalization challenges in AI-driven autonomous vehicles by using in-context learning and expert demonstration retrieval.

AINeutralarXiv – CS AI · 3d ago6/10

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Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt Injection

Researchers introduce ImageProtector, a user-side defense mechanism that embeds imperceptible perturbations into images to prevent multi-modal large language models from analyzing them. When adversaries attempt to extract sensitive information from protected images, MLLMs are induced to refuse analysis, though potential countermeasures exist that may partially mitigate the technique's effectiveness.

AINeutralarXiv – CS AI · Mar 27/1010

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Veritas: Generalizable Deepfake Detection via Pattern-Aware Reasoning

Researchers introduce Veritas, a multi-modal large language model designed for deepfake detection that uses pattern-aware reasoning to mimic human forensic processes. The system addresses real-world challenges through the HydraFake dataset and achieves significant improvements in detecting unseen forgeries across different domains.