---
id: 20260317-T0-06
title: "研究提出通过中间探针进行任务特定知识蒸馏"
title_en: "Task-Specific Knowledge Distillation via Intermediate Probes"
url: https://ai.daily.yangsir.net/daily/20260317-T0-06
issue_date: 2026-03-17
publish_date: 2026-03-16T04:00:00.000Z
source_name: "arXiv cs.CL (NLP)"
source_url: https://arxiv.org/abs/2603.12270
---

# 研究提出通过中间探针进行任务特定知识蒸馏

arXiv论文针对LLM知识蒸馏在推理任务中的局限性，提出通过模型中间表示进行知识提取的方法。研究发现教师模型的输出分布在推理任务中常不成立，而中间探针能更好捕捉有效知识。论文发表于3月12日。

## English Version

**Task-Specific Knowledge Distillation via Intermediate Probes**

An arXiv paper addresses LLM knowledge distillation limitations on reasoning tasks by extracting knowledge through intermediate representations. Finds teacher output distribution often fails on reasoning, while intermediate probes capture effective knowledge better. Published March 12.

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**来源**：[arXiv cs.CL (NLP)](https://arxiv.org/abs/2603.12270)

**详情页**：https://ai.daily.yangsir.net/daily/20260317-T0-06

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