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Forget expensive per-task search: agentic workflows can be synthesized in a single LLM pass by transferring learned structural priors, slashing optimization costs by 3 orders of magnitude.
Optimizing sponsored content in LLMs doesn't have to break the bank: IAMFM leverages multi-fidelity optimization and active counterfactuals to make VCG mechanisms computationally feasible.
