Author

Xu-Dong Jiang

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#artificial intelligence Preprint Oct 2026

CoTS: Competitive Token Selection for Latent Reasoning in Large Language Models

Competitive Token Selection (CoTS), a training-free framework that reframes latent intervention from binary mode selection into continuous allocation at the token level, and demonstrates that CoTS consistently outperforms standard CoT and state-of-the-art training-free latent reasoning methods.

Jie Yu, Yu-Xi Sun, Zhao-Xu Li et al. · 0 citations

Jul 2026

Offline-Online Curriculum RL for Multimodal Reasoning

This work proposes $O^2-CritiCuRL, a novel curriculum reinforcement learning framework that introduces critical-step awareness through an iterative offline-online paradigm, and employs a progressive step-level reinforcement learning strategy, where truncated chains guide the model to infer missing steps and refine its...

Wendi Deng, Hang Du, Guoshun Nan et al. · arXiv.org · 0 citations