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Lefan Wang

2 accepted papers

2025

MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models

CVPR 2025poster

In the quest for artificial general intelligence, Multi-modal Large Language Models (MLLMs) have emerged as a focal point in recent advancements. However, the predominant focus remains on developing their capabilities in static image understanding. The potential of MLLMs in processing sequential vis…

2025

Semantic Representation Attack against Aligned Large Language Models

NeurIPS 2025poster

Large Language Models (LLMs) increasingly employ alignment techniques to prevent harmful outputs. Despite these safeguards, attackers can circumvent them by crafting prompts that induce LLMs to generate harmful content. Current methods typically target exact affirmative responses, suffering from lim…

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