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Now, we bound the ℓ2 distance of the two processes, which is the ℓ2 norm of ∆t

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Synthetic Data for any Differentiable Target

cs.CL · 2026-04-09 · unverdicted · novelty 8.0

DPG lets researchers shape language model properties like weight patterns or output behaviors by optimizing synthetic training data via higher-order gradient rewards in a policy gradient setup.

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  • Synthetic Data for any Differentiable Target cs.CL · 2026-04-09 · unverdicted · none · ref 3

    DPG lets researchers shape language model properties like weight patterns or output behaviors by optimizing synthetic training data via higher-order gradient rewards in a policy gradient setup.