CreativityNeuro steers LLM weights to improve divergent thinking and cut mode collapse
ParshinShojaee · x · 2026-07-21
CreativityNeuro proposes steering language model weights rather than activations to improve divergent thinking and reduce mode collapse.
According to the paper, the method:
- uses contrastive creative prompts to identify creativity-relevant parameters
- applies a scaled weight perturbation to a sparse subset of those weights
- improves divergent-thinking behavior across multiple tasks
The authors say weight-space steering generalizes further out of distribution than activation-space steering.
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