Unverified50% confidenceFactExact time
The trace revision step of ReDiST starts from the student model's own drafts: for drafts with correct answers, the provided evidence is used to revise them so that their reasoning process is more rigorous; for drafts with wrong answers, the verified answer is used to provide additional guidance for repair.
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50%
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Long-term
Relevance
10/19/2026
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UnverifiedThe ReDiST workflow consists of three steps: student-draft-based trace revision, student-matched filtering and ranking, and balanced distillation loss, all completed in the offline stage, with only the distilled student model used at inference time.79% similarUnverifiedThrough student-conditioned construction and filtering, ReDiST offers a new approach to personalized reasoning distillation.77% similarUnverifiedReDiST 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.75% similarVerifiedReAct combines reasoning and action, allowing the model to alternately generate natural language reasoning steps and concrete actions within a trajectory, making errors traceable and correctable.74% similarUnverifiedThe operational logic of ReRoute is: fixing the queried input in the pretrained backbone model to a reference value, reintroducing the variation of that input through known mechanistic pathways, and fine-tuning on the original factual data.72% similar
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