Author

Yi Yang

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#artificial intelligence Preprint Sep 2026

TTRSD: Test-Time Reinforcement Learning with Self-Distillation for Vision-Language Models

TTRSD separates update direction from update position, determined by group-relative advantages, from update position, determined by visual sensitivity, without requiring ground-truth labels, external verifiers, or a separate teacher, demonstrating cross-dataset generalization while preserving inherent reasoning integri...

Shu-Ning Wang, Zhi-Heng Wu, Xun-Lan Zhou et al. · 0 citations

#machine learning Preprint Aug 2026

Hierarchical Data Selection via Manifold Coverage and Sparse Feature Coverage in LLM Post-training

MASS learns low-dimensional principal manifold coordinates with a dense autoencoder for coarse semantic grouping, and then performs quality-aware sparse feature coverage within each group using a TopK sparse autoencoder and proposes MASS.

Peng Sun, Yi Yang, Antong Zhang et al. · 0 citations

#machine learning Preprint Aug 2026

Data-DPO: Direct Preference Optimization for Target Model Data Selection in LLM Post-Training

Data-DPO, a target model-oriented SFT data selection method that consistently outperforms existing data selection baselines under multiple data budgets and stably surpasses full data training performance is proposed.

Peng Sun, Yi Yang, Antong Zhang et al. · 0 citations