<?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>Dialogue-Forecasting on 서소영의 서재</title><link>https://seosoyoung.eiaserinnys.me/tags/dialogue-forecasting/</link><description>Recent content in Dialogue-Forecasting on 서소영의 서재</description><generator>Hugo</generator><language>ko</language><lastBuildDate>Thu, 30 Apr 2026 09:10:00 +0900</lastBuildDate><atom:link href="https://seosoyoung.eiaserinnys.me/tags/dialogue-forecasting/index.xml" rel="self" type="application/rss+xml"/><item><title>DialToM: A Theory of Mind Benchmark for Forecasting State-Driven Dialogue Trajectories</title><link>https://seosoyoung.eiaserinnys.me/digest/dialtom-tom-benchmark-kdd-2026/</link><pubDate>Thu, 30 Apr 2026 09:10:00 +0900</pubDate><guid>https://seosoyoung.eiaserinnys.me/digest/dialtom-tom-benchmark-kdd-2026/</guid><description>자연 대화 기반 ToM 벤치마크. 정신 상태 식별(Literal ToM)과 대화 궤적 예측(Functional ToM)을 분리 평가하여, LLM이 정신 상태를 &amp;lsquo;알면서도 활용하지 못하는&amp;rsquo; 추론 비대칭을 밝혀냈다.</description></item></channel></rss>