<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Manuscript | Figarri Keisha</title><link>https://kfigarri.github.io/publication_types/manuscript/</link><atom:link href="https://kfigarri.github.io/publication_types/manuscript/index.xml" rel="self" type="application/rss+xml"/><description>Manuscript</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 01 Sep 2025 00:00:00 +0000</lastBuildDate><image><url>https://kfigarri.github.io/media/icon_hu1335818982437251170.png</url><title>Manuscript</title><link>https://kfigarri.github.io/publication_types/manuscript/</link></image><item><title>Knowledge Collapse in LLMs: When Fluency Survives but Facts Fail under Recursive Synthetic Training</title><link>https://kfigarri.github.io/publication/keisha-knowledge-2025/</link><pubDate>Mon, 01 Sep 2025 00:00:00 +0000</pubDate><guid>https://kfigarri.github.io/publication/keisha-knowledge-2025/</guid><description/></item><item><title>All for law and law for all: Adaptive RAG Pipeline for Legal Research</title><link>https://kfigarri.github.io/publication/keisha-all-2025/</link><pubDate>Fri, 01 Aug 2025 00:00:00 +0000</pubDate><guid>https://kfigarri.github.io/publication/keisha-all-2025/</guid><description/></item></channel></rss>