Unverified50% confidenceOpinionExact time
In on-policy self-distillation, the supervision provided by the privileged self-teacher reflects local token preferences rather than the expected return of the student model continuing to generate under unguided conditions.
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedOn-policy distillation applies teacher supervision on trajectories generated by the student itself, enabling better handling of the exposure bias problem.70% similarUnverifiedThe strength of Imprinting varies across teacher-student pairs and does not extend uniformly to all forms of safety behavior, indicating that behavioral transfer is selective and condition-dependent.70% similarUnverifiedPower in education systems is inherently distributed across multiple levels—national, regional, school, and classroom—and the incentive mechanisms at each level are often inconsistent.65% similarUnverifiedStudents' preference choices reflect subjective impressions rather than an objective assessment of writing quality.63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1032843API
curl https://kongchang.com/api/v1/knowledge/claims/1032843MCP
get_claim(id=1032843)