<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
<channel>
<title>retrieval augmented generation Topic Archive</title>
<link>retrieval-augmented-generation.html</link>
<description>关键词 retrieval augmented generation 的长期追踪 RSS，汇总历史命中文献。</description>
<language>zh-CN</language>
<lastBuildDate>Sun, 28 Jun 2026 05:24:06 +0000</lastBuildDate>
<item>
<title>Probabilistic Agents in Deterministic Audits: Evaluating Multi-Agent Systems for Automated Audits Based on the German IT-Grundschutz</title>
<link>../papers/doi-a2a209515fcf.html</link>
<guid>https://arxiv.org/abs/2606.25622v1#2026-06-25#retrieval-augmented-generation</guid>
<pubDate>Thu, 25 Jun 2026 13:11:21 +0800</pubDate>
<description>The NIS-2 Directive mandates robust Risk Management from thousands of small and medium enterprises. To ensure compliance, companies rely on established standards such as the German IT-Grundschutz (IT-GS) of the Federal Office for Information Security. However, IT-GS certification is resource-intensive and requires a high level of manual effort for documentation, validation, and revision, making scalable implementation difficult and expensive. Building upon our previous conceptual framework, thi…</description>
</item>
<item>
<title>Mod-Guide: An LLM-based Content Moderation Feedback System to Address Insensitive Speech toward Indigenous Ethnic and Religious Minority Communities</title>
<link>../papers/doi-674c0b5da9f0.html</link>
<guid>https://arxiv.org/abs/2606.13397v1#2026-06-12#retrieval-augmented-generation</guid>
<pubDate>Fri, 12 Jun 2026 13:55:02 +0800</pubDate>
<description>Language operates as a mechanism of both marginalization and resistance, especially for minority communities navigating insensitive and harmful speech online. As content moderation increasingly depends on large language models (LLMs), concerns arise about whether these systems can recognize culturally insensitive speech-language that disregards or marginalizes the cultural and religious perspectives of historically underrepresented communities, often through implicit erasure, misrepresentation,…</description>
</item>
</channel>
</rss>
