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What is Projected about?
This document presents a method for reward-guided generation using a constrained latent optimization approach that employs projected gradient ascent to maintain white Gaussian noise characteristics during test-time optimization. The proposed method addresses issues of reliability and efficiency in existing techniques by replacing soft regularization with hard constraints, resulting in faster and more stable generation without reward hacking. Experimental results demonstrate that this approach achieves compa
- Author
- mohammad jalali
- Language
- EN