A Primer in Post-Training Reasoning Data: What We Know About How It Works 事件

A Primer in Post-Training Reasoning Data: What We Know About How It Works arXiv:2606.02113v1 Announce Type: new Abstract: Post-training has become a primary driver of recent progress in large reasoning models, and reasoning data are often the key variable determining whether this stage succeeds. Work on post-training reasoning data has grown rapidly, yet this literature remains scattered across dataset papers, reinforcement-learning recipes, reward-model studies, benchmarks, and frontier system