SCOReD: Student-Aware CoT Optimization for Recommendation Distillation
Chain-of-thought (CoT) distillation in the recommendation domain is a necessary precursor to RL training, but raw teacher traces are ill-suited to this task. Large teachers approach the recommendation task with unusually high reasoning uncertainty, repeatedly rechecking their answers without revising them; supervised fine-tuning on such traces produces verbose students that never revise their initial guess. Furthermore, due to the novelty of the recommendation domain, the teacher's reasoning traces are highly out-of-distribution for the small student LLM. We propose Student-Aware CoT Optimization for Recommendation Distillation (SCOReD), a CoT optimization framework tailored to recommenda...
| Authors | Haz Sameen Shahgir, Yufei Li, Xiaohan Wei et al. |
|---|---|
| Primary category | cs.IR |
| Published | 7 July 2026 |
| Last updated at source | 9 July 2026 |
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