Differentiable Cognitive Steering for Human-Object Interaction Detection Using Multi-modal LLMs

This research explores a novel approach to human-object interaction detection by leveraging the capabilities of multi-modal large language models (LLMs). The use of differentiable cognitive steering is a potentially significant innovation in guiding LLMs for this complex task.

• •Focuses on generative detection of human-object interactions.
• •Employs differentiable cognitive steering.
• •Utilizes multi-modal LLMs.