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Author

Minsu Kim

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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

Learning diverse attacks on large language models for robust red-teaming and safety tuning

This work proposes to use GFlowNet fine-tuning followed by a secondary smoothing phase, to train the attacker model to generate diverse and effective attack prompts, and finds that the attacks generated by the method are effective against a wide range of target LLMs, both with and without safety tuning, and transfer we...

Seanie Lee, Minsu Kim, Lynn Cherif et al. · 62 citations · ⚡8

Amortizing intractable inference in diffusion models for vision, language, and control

Amortized sampling of the posterior over data is studied, and the asymptotic correctness of a data-free learning objective, relative trajectory balance, is proved for training a diffusion model that samples from this posterior, a problem that existing methods solve only approximately or in restricted cases.

S. Venkatraman, Moksh Jain, Luca Scimeca et al. · 75 citations · ⚡5

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