aPSF discovers and optimizes compositional prompt structures by factorizing prompts and performing targeted, error-guided updates, outperforming monolithic optimizers on reasoning benchmarks.
arXiv preprint arXiv:2402.08702 , year=
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The paper delivers the first systematic review of self-evolving agents, structured around what components evolve, when adaptation occurs, and how it is implemented.
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Adaptive Prompt Structure Factorization: A Framework for Self-Discovering and Optimizing Compositional Prompt Programs
aPSF discovers and optimizes compositional prompt structures by factorizing prompts and performing targeted, error-guided updates, outperforming monolithic optimizers on reasoning benchmarks.
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