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GFlowPO: Generative Flow Network as a Language Model Prompt Optimizer

This work proposes GFlowPO, a probabilistic prompt optimization framework that casts prompt search as a posterior inference problem over latent prompts regularized by a meta-prompted reference-LM prior and consistently outperforms recent discrete prompt optimization baselines.

Junmo Cho, Suhan Kim, Sangjune An et al. · 0 citations

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