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Sharif University of Technology
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KG-FairDiff achieves substantial reductions in demographic disparities in text-to-image generation while preserving the original intent of prompts, making it a game-changer for equitable AI deployment.
Achieve robust zero-shot robotic manipulation by orchestrating specialized LLM/VLM agents in a closed-loop system that iteratively refines actions based on environmental feedback.
