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Understanding the Role of Prompt Template in Knowledge Distillation for Safety Alignment

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Computer Science > Computation and Language

arXiv:2609.30802 (cs)
[Submitted on 25 Sep 2026]

Title:Understanding the Role of Prompt Template in Knowledge Distillation for Safety Alignment

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Abstract:Prior research has demonstrated that the choice of prompt template during Supervised Fine-Tuning (SFT) significantly impacts the robustness of safety alignment afterwards. However, the influence of template selection during Knowledge Distillation (KD) from teacher to student remains largely unexplored. Thus, we fill this gap by analyzing how different template configurations influence the pre-existing safety alignment of the student. We observe a significant degradation of safety alignment present in the aligned base instruct-tuned model. Specifically, we find that utilizing chat templates renders the model more compliant with harmful queries compared to a non-chat template. These findings are consistent across three models: LLaMA, Gemma and Qwen model families and are evaluated across multiple safety benchmarks. We further show that using a non-chat template during distillation better preserves the base student's internal representations, while chat template distillation induces a larger representational shift. Code: this https URL
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2609.30802 [cs.CL]
  (or arXiv:2609.30802v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2609.30802
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Anjila Budathoki [view email]
[v1] Fri, 25 Sep 2026 04:26:49 UTC (317 KB)
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