KAIST Develops AI That Finds Its Own Hidden Weaknesses, Paving the Way for Safer Generative AI Models (IMAGE)
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Figure 2. Comparison between S-GFN and existing methods. S-GFN effectively bypasses the estimation of the partition function Z through pairwise comparison, thereby achieving the stability that was previously lacking in GFN-based approaches.
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KAIST
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