Projection-Free Evolution Strategies for Continuous Prompt Search
Continuous prompt search offers a computationally efficient alternative to conventional parameter tuning in natural language processing tasks. Nevertheless, its practical effectiveness can be significantly hindered by the black-box nature and the inherent high-dimensionality of the objective landscapes. Existing methods typically mitigate these challenges by restricting the search to a randomly projected low-dimensional subspace. However, the effectiveness and underlying motivation of the projection mechanism remain ambiguous. In this paper, we first empirically demonstrate that despite the prompt space possessing a low-dimensional structure, random projections fail to adequately capture ...
| Authors | Yu Cai, Canxi Huang, Xiaoyu He |
|---|---|
| Primary category | cs.CL |
| Published | 14 March 2026 |
| Last updated at source | 14 March 2026 |
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