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Found 2 papers, 2 papers with code
Universal Prompt Optimizer for Safe Text-to-Image Generation
To guide the optimizer to have the ability of converting toxic prompt to clean prompt while preserving semantic information, we design a novel reward function measuring toxicity and text alignment of generated images and train the optimizer through Proximal Policy Optimization.
Counterfactual Learning on Graphs: A Survey
To facilitate the development of this promising direction, in this survey, we categorize and comprehensively review papers on graph counterfactual learning.
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