<?xml version="1.0" encoding="utf-8"?><rss version="2.0"><channel><title>Zijun Song · Blog</title><link>https://zijunsong.github.io</link><description>Research notes on agents and post-training</description><item><title>HarnessOPD: Keeping the Behavioral Gains of a Stronger Harness Inside the Model</title><link>https://zijunsong.github.io/posts/harnessopd.html</link><guid>https://zijunsong.github.io/posts/harnessopd.html</guid><description>A stronger search-agent harness can improve decisions, but the gains may vanish once those components are removed. HarnessOPD studies how to keep part of that advantage in the model parameters.</description></item><item><title>RG-CTO: Letting Failure Experience Influence the Next Attempt Selectively</title><link>https://zijunsong.github.io/posts/rg-cto.html</link><guid>https://zijunsong.github.io/posts/rg-cto.html</guid><description>Failed traces should not be reused wholesale. RG-CTO estimates the reliability of negative experience before deciding how strongly it may shape generation.</description></item></channel></rss>