#multimodal large language models
Multimodal Large Language Models: 3 AI articles covering multimodal large language models news, analysis, and research
Articles
Unified Hallucination Fuzzing for Multimodal Large Language Models⭐10
Unified fuzzing framework reveals severe hallucination risks in MLLMs, exposing hidden performance degradation and alignment trade-offs.
Adversarial Style Optimization: Enhancing VLM Jailbreaks by⭐7
ASO enhances visual jailbreak attacks on multimodal LLMs by optimizing stylistic triggers via GRPO, achieving higher Attack Success Rates and exposing stylistic...
Securing Multimodal AI through Internal Information Decomposition⭐8
FlowGuard detects harmful multimodal inputs by monitoring cross-modal consistency, reducing attack success rates from >90% to <15% with minimal utility loss.