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Leading image generation models fail over 40% of goal-driven visual reasoning tasks, but decoupling explicit visual planning from generation boosts task completion by up to 14.6 points without fine-tuning.
GenRouter cuts execution costs by over 95% and latency by 65%, revolutionizing how we approach agentic image generation workflows.
Mainstream video models consistently falter in fine-grained understanding, revealing critical vulnerabilities in their hallucination capabilities.
OmniCoT recalibrates the challenges of panoramic reasoning, enabling MLLMs to leverage global evidence for complex multi-step inference.
