EvidenceDemonstratedv1.10.0
Evolutionary optimization of model merging recipes
Evidence card
- Claim
- Automated search can discover high-performing combinations of open-source models and data-flow recipes.
- Evidence level
- Demonstrated
- Source
- https://www.nature.com/articles/s42256-024-00975-8
- Publication date
- 2025-01-28
- Authors or institution
- Takuya Akiba, Makoto Shing, Yujin Tang, Qi Sun, David Ha
- System tested
- Evolutionary search over model merging recipes in parameter space and data-flow space.
- Limitations
- Utility-focused model development; not a system-safety guarantee for adaptive ecologies.
- What the evidence does show
- Automated search can discover high-performing combinations of open-source models and data-flow recipes.
- What the evidence does not show
- That automated model merging preserves safety properties under all derived compositions.
- Date last reviewed in UTC
- 2026-06-26T00:00:00Z
Site use
This source supports Cognivirus.com pages related to evolutionary model merging, model composition, automated model development. Its role is bounded by the limitations listed above.