AINeutralarXiv – CS AI · 7h ago6/10
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A Primer in Post-Training Reasoning Data: What We Know About How It Works
A comprehensive academic primer synthesizes over 150 studies on post-training reasoning data for large language models, organizing the field around four core questions: what data objects exist, what makes them useful, how they are constructed, and how they scale. This foundational work provides an attribution framework for future reasoning-data releases and post-training approaches in AI development.