ORCA: Agentic Reasoning For Hallucination and Adversarial Robustness in Vision-Language Models

ORCA is an agentic reasoning framework that improves the factual accuracy and adversarial robustness of pretrained Large Vision-Language Models (LVLMs). By leveraging multi-agent deliberation and structured reasoning, ORCA enables robust visual understanding without requiring additional training.