Motivated by the observed human-like behaviours in Large Reasoning Models (LRMs), this paper introduces a comprehensive taxonomy to characterise atomic reasoning steps and analyse the reasoning behaviours of LRMs. Grounded in human cognitive processes, we propose a taxonomy comprising five groups and seventeen categori...
Yu-Xiang Chen, Zuohan Wu, Ziwei Wang et al.· 0 citations
Notes2Skills is presented, a two-stage framework for turning lab notebooks into verifiable skills for scientific AI agents while preserving the author's certainty, showing that certainty preservation is a key missing piece between lab notebooks and reliable agent skills, opening a path toward safer AI co-scientist syst...
S. Liu, Jiayao Chen, Cheng-Wei Qin et al.· arXiv.org· 1 citation
Mechanist is an agentic system that uses AI as a scientific instrument for the autonomous discovery of mechanisms underlying AI intelligence, and develops a mechanism theory of belief, revealing how models represent world knowledge, form beliefs, infer the beliefs of others, and how these mechanisms emerge during pretr...
Mengru Wang, Jun-Feng Fang, Shuo-Fei Qiao et al.· 1 citation
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