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Yujing Wang

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GRADE: Probing Knowledge Gaps in LLMs through Gradient Subspace Dynamics

GRADE (GRAdient Dynamics for knowlEdge gap detection), which quantifies the knowledge gap via the cross-layer rank ratio of the gradient to that of the corresponding hidden state subspace, motivated by the property of gradients as estimators of the required knowledge updates for a given target.

Yujing Wang, Yuanbang Liang, Yu-Kun Lai et al. · 1 citation
Preprint Aug 2026

G-CARL: Grounded Checklist-Aligned Reward Learning for Patient-Oriented Medical Report Interpretation

G-CARL, a grounded, checklist-aligned reinforcement learning framework that combines multi-source retrieval for atomic claim verification with context-aware, instance-specific weighted checklists for response coverage, providing structured supervision for factuality, user-demand satisfaction, and expression quality wit...

Shiao Xie, Siyu Chen, Jian-Wei Lv et al. · 0 citations

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