Author

Xiangning Yu

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#artificial intelligence Preprint Nov 2025

Superficial Reflection or Genuine Thought? A Fine-Grained Cognitive Analysis of Large Reasoning Models

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

#machine learning Preprint Aug 2026

Large Discovery Models: Empirically-grounded Model-Based Open-Ended Search

This work introduces the Large Discovery Model (LDM), an empirically grounded recurrent architecture that couples a generative model with a Bayesian non-parametric reward surrogate model, yielding an uncertainty-aware value that guides candidate generation, refinement, and selection.

Zhong-Wei Yu, Yan Song, Xue Yan et al. · 0 citations