---
id: 20260314-T0-24
title: "MDER-DR：基于实体摘要的多跳问答系统"
title_en: "MDER-DR: Multi-Hop QA with Entity Summaries"
url: https://ai.daily.yangsir.net/daily/20260314-T0-24
issue_date: 2026-03-14
publish_date: 2026-03-13T04:00:00.000Z
source_name: "arXiv cs.CL (NLP)"
source_url: https://arxiv.org/abs/2603.11223
---

# MDER-DR：基于实体摘要的多跳问答系统

MDER-DR论文提出基于实体摘要的多跳问答系统。该方法解决传统RAG在知识图谱问答中丢失上下文细节的问题，通过实体为中心的摘要保留关键信息。HotpotQA数据集测试显示，MDER-DR准确率达82%，比现有RAG方法高15%。论文arXiv:2603.11223v1为复杂知识问答提供了新思路。

## English Version

**MDER-DR: Multi-Hop QA with Entity Summaries**

MDER-DR paper proposes entity-centric summary-based multi-hop QA system. Solves RAG's context loss in KG QA by preserving key information through entity summaries. Achieves 82% accuracy on HotpotQA, 15% higher than existing RAG methods. arXiv:2603.11223v1.

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**来源**：[arXiv cs.CL (NLP)](https://arxiv.org/abs/2603.11223)

**详情页**：https://ai.daily.yangsir.net/daily/20260314-T0-24

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