Author

Kai Yang

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Preprint Aug 2026

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs

On-policy rollout methods such as GRPO are central to post-training of large language models, yet they frequently suffer from training instabilities, cross-task capability degradation, and response-length inflation. Although prior work has characterized the subspace geometry of aggregate updates, the stepwise variation...

Kai Yang, Jingwei Xu, Wan-Yu Wang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

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

The Alpha-Stabler framework is proposed, a plug-and-play framework with a Predictor that monitors principal-subspace intrusion for early collapse warnings, and a Controller that removes the principal-subspace component of activation gradients during backpropagation while preserving the orthogonal complement.

Yu-Chen Cai, Ding Cao, Qi-Xiang Yin et al. · 1 citation

#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, Yu-Chen Cai et al. · 5 citations · ⚡1