Unverified50% confidenceFactExact time
The reader model plays the role of a "simulated student" in ReDiST; it is usually a frozen model of a scale or capability similar to the target student, does not participate in training, and is used only to evaluate candidate traces.
1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedReDiST uses a frozen reader model matched to the student to evaluate, based on the question, evidence, and candidate traces, their answer-recovery ability and verified-answer probability, ranking the original traces and the edited candidates.78% similarUnverifiedModel distillation refers to the process of querying a target model extensively, collecting its input-output pairs, and then training a student model with comparable capabilities.68% similarUnverifiedThe challenge of streaming model distillation lies in the fact that if the teacher model adopts a non-causal architecture, its latent representations contain future information that the student model cannot access during inference, requiring the design of alignment strategies to prevent the student from being forced to fit information it cannot reproduce.68% similarUnverifiedThrough student-conditioned construction and filtering, ReDiST offers a new approach to personalized reasoning distillation.68% similarUnverified通过蒸馏获得的学生模型往往只继承教师模型的能力，而无法复制其经过RLHF等方法植入的安全对齐机制67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1064845API
curl https://kongchang.com/api/v1/knowledge/claims/1064845MCP
get_claim(id=1064845)