arXiv:2610.27473v1 Announce Type: new Abstract: Text-to-image models can generate visual concepts that their prompts never mention, and recent work shows that such associations can be implanted so that ordinary prompts trigger them. Auditing this behavior requires recovering the description that a prompt omits. Existing prompt optimizers are not well suited to this task.
Beyond the Prompt: Recovering Hidden Concepts in Text-to-Image Models
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