<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Evaluation on Xueping's Blog</title><link>https://hellogxp.github.io/tags/evaluation/</link><description>Recent content in Evaluation on Xueping's Blog</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 05 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://hellogxp.github.io/tags/evaluation/index.xml" rel="self" type="application/rss+xml"/><item><title>A Probe Score Is Not an Alarm Policy</title><link>https://hellogxp.github.io/posts/probe-score-not-alarm-policy/</link><pubDate>Mon, 05 Oct 2026 00:00:00 +0000</pubDate><guid>https://hellogxp.github.io/posts/probe-score-not-alarm-policy/</guid><description>An activation monitor that ranks attack cases above safe cases 92% of the time caught zero of 38 real attacks at the false-alarm budget a deployment could afford. The gap between a probe score and an alarm policy is eight fields wide — a research-informed practice guide to grading what your monitor actually claims, from our DAI 2026 paper.</description></item><item><title>Can We Trust AI Self-Reports?</title><link>https://hellogxp.github.io/posts/the-unvalidated-instrument/</link><pubDate>Sun, 13 Sep 2026 00:00:00 +0000</pubDate><guid>https://hellogxp.github.io/posts/the-unvalidated-instrument/</guid><description>Whether an LLM is conscious and whether it is scheming are argued through the same instrument — the model&amp;rsquo;s report about its own internal states. That instrument has never been calibrated. Ask it to detect an injected thought and it succeeds ~20% of the time; ask it to confess a hidden objective and a 2026 method reads it out at F1 0.98. Same channel, opposite verdicts, no spec sheet. A cited accounting of when self-report is load-bearing and when the reading is void.</description></item><item><title>The Context Bill</title><link>https://hellogxp.github.io/posts/the-context-bill/</link><pubDate>Thu, 10 Sep 2026 00:00:00 +0000</pubDate><guid>https://hellogxp.github.io/posts/the-context-bill/</guid><description>Your agent is not slow because it has too many tools. It is paying three separate bills — a resident attention tax charged every turn, a compaction debt charged by the fix, and a measurement illusion that hides whether the capability package was worth anything. A cited accounting of all three, and a decision procedure keyed to which one you are actually paying.</description></item><item><title>Agent Evaluation as Regression Memory</title><link>https://hellogxp.github.io/posts/agent-evaluation-regression-memory/</link><pubDate>Tue, 21 Jul 2026 00:00:00 +0000</pubDate><guid>https://hellogxp.github.io/posts/agent-evaluation-regression-memory/</guid><description>Benchmarks compare agents. Production evaluation must remember failures. A research-informed practice guide to traces, calibrated graders, stochastic regression tests, coverage, and release gates for AI agents.</description></item></channel></rss>