---
id: 20260820-T0-08
title: "跨模型记忆迁移：目标侧阅读器适配方法突破检索限制"
title_en: "Cross-model memory transfer via target-side reader adaptation overcomes retrieval limits"
url: https://ai.daily.yangsir.net/daily/20260820-T0-08
issue_date: 2026-08-20
publish_date: 2026-08-19T04:00:00.000Z
category: research
source_name: "arXiv cs.CL (NLP)"
source_url: https://arxiv.org/abs/2608.17050
---

# 跨模型记忆迁移：目标侧阅读器适配方法突破检索限制

新研究提出跨模型记忆迁移方法，通过在目标侧适配阅读器，实现对已有知识的深度利用，避免非参数检索带来的延迟、上下文开销和浅层集成问题。

## English Version

**Cross-model memory transfer via target-side reader adaptation overcomes retrieval limits**

New research presents a cross-model memory transfer method via target-side reader adaptation, enabling deeper use of existing knowledge without the latency, context overhead, and shallow integration of non-parametric retrieval.

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**来源**：[arXiv cs.CL (NLP)](https://arxiv.org/abs/2608.17050)

**详情页**：https://ai.daily.yangsir.net/daily/20260820-T0-08

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