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Verifying Meta-Awareness via Predictive Rewards in Reasoning Models
arXiv:2510.03259v2 Announce Type: replace Abstract: Recent research on reasoning models explores the meta-awareness of language models, including their ability to determine optimal thinking duration, recognize knowledge boundaries, and structure concept-level thinking. While current large reasoning models depend solely on answer-based verification, we show that adding meta-awareness objectives leads to significant performance gains over models without such meta-knowledge. MAPR...