Author

Zhuo-Ran Yang

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#artificial intelligence Preprint Sep 2026

Relative Generalization Invariance of LLM Pretraining

Large Language Model (LLM) pretraining performance is jointly shaped by three components of the training triplet: the optimizer, model architecture, and training data stream. However, how these components influence performance in distinct ways remains unclear. We take a first step toward isolating their effects by stud...

Feng-Zhuo Zhang, Shu-Che Wang, Sheng-Gui Li et al. · 0 citations

#artificial intelligence Jun 2026

INFUSER: Influence-Guided Self-Evolution Improves Reasoning

INFUSER is introduced, an iterative co-training framework with two co-evolving roles: a Generator that drafts questions and reference golden answers from a pool of unstructured, automatically collected documents, and a Solver that improves by training on them, and DuGRPO, a dual-normalized variant of GRPO, for generato...

Si-Yu Chen, Miao Lu, Bei-Ning Wu et al. · arXiv.org · 0 citations