Chenhang Cui

MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models

Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language Models

Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment

MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?

RSafe: Incentivizing proactive reasoning to build robust and adaptive LLM safeguards

Fading Focus: Mitigating Visual Attention Degradation in Large Vision-Language Models

Calibrated Self-Rewarding Vision Language Models

Analyzing and Mitigating Object Hallucination in Large Vision-Language Models