Author

Yuchen Cai

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#artificial intelligence Preprint Sep 2026

Learning to Steer, Steering to See: Unveiling the Geometry of RLVR in Large Language Models via Trainable Vectors

Reinforcement learning (RL) has become a key paradigm for enhancing the reasoning of large language models, yet the high dimensionality of parameter updates makes its training dynamics hard to analyze. We study reinforcement learning with verifiable rewards (RLVR) and use vector steering to identify a low-dimensional e...

Yu-Chen Cai, Ding Cao, Qi-Xiang Yin et al. · 0 citations

#natural language process... Preprint Aug 2026

Consolidating RLVR Capabilities Across Domains: A Deep Dive into Fusion Paradigms

This work compares three fusion paradigms by the artefacts they reuse and suggests that Merge when experts already exist and cheap fusion is paramount; Mix RL when training a unified model without experts, with domain proportions adjusted for cross-domain transfer; and MOPD when preserving domain-specific gains matters...

Sicheng Wu, Kai Yang, Yuchen Cai et al. · 0 citations