Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision
by OpenAI · free · Last verified 2026-03-17
Investigates whether strong models can be aligned using supervision from weaker models—an analogy to future superalignment challenges where humans supervise superintelligent AI. The paper demonstrates that naive weak-to-strong fine-tuning yields significant generalization beyond the weak supervisor and proposes auxiliary confidence loss and bootstrapping to close the performance gap.
https://arxiv.org/abs/2312.09390 ↗B
B—Above Average
Adoption: B+Quality: A+Freshness: B+Citations: AEngagement: F
Specifications
- License
- Open Access
- Pricing
- free
- Capabilities
- scalable-oversight, weak-supervision, superalignment, alignment-research
- Integrations
- Use Cases
- ai-safety-research, superalignment, research
- API Available
- No
- Tags
- alignment, superalignment, weak-supervision, scalable-oversight, generalization
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
68Adoption
74
Quality
92
Freshness
70
Citations
80
Engagement
0
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