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Da-Shan Gao

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Preprint Oct 2026

Diffusion Meta-Prompting and Steering for Generalizable Foundation Model Adaptation

Prompt learning is a popular method for adapting foundation models, but learned prompts are typically task-specific and fail to generalize to new classes, domains, or compositions of tasks. In this paper, we introduce a Diffusion Meta-Prompt (DMP) model , a framework that models the distribution of learned prompts usin...

Deepak Sridhar, Yi Li, K. Bhardwaj et al. · 0 citations

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