This post introduces a NAVER Cloud paper, Decentralized Instruction Tuning: Conflict-Aware Splitting and Weight Merging, that will be presented at ICML 2026—the most prestigious conference in machine learning and AI—this July in Seoul, Korea. Choi Minsik (NAVER Cloud*, Korea University) Kim Geewook (NAVER Cloud, KAIST) * Internship A new perspective on conflicting datasets The standard […]