Author

Lina Yao

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#machine learning Preprint Oct 2026

Beyond Policy Rollouts: Embedding-Space Directional Exploration with Anchored Noise for LLM RLVR

This paper proposes EDEN (Embedding-space Directional Exploration via anchored Noise), which intervenes at the rollout source through anchored input perturbations and outperforms GRPO and the exploration controls evaluated in the same pipeline, with the largest gains in sampled solution coverage.

Daijiao Liu, Hui-Yi Wang, Li-Na Yao et al. · 0 citations

#machine learning Preprint Sep 2026

One Rate Is Not Enough: Adaptive Anisotropic Learning Rates for LoRA Fine-Tuning

An adaptive anisotropic learning-rate model is proposed that assigns each rank-one component its own effective learning rate, computed online from training-time signals and mean-normalized per module to preserve the global LR budget.

Hui-Yi Wang, Daijiao Liu, Li-Na Yao et al. · 0 citations