Author

Moule Lin

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#artificial intelligence Preprint Oct 2026

BrainTRACE: Tracing Longitudinal, Multimodal, and Volumetric Evidence in Brain MRI Clinical Reasoning

Brain MRI interpretation is a longitudinal clinical reasoning problem: radiologists compare serial studies, integrate information across MRI sequences, localize findings within volumetric anatomy, and translate this evidence into report-grounded assessments. Existing medical VQA and 3D imaging benchmarks capture import...

Qi-Zhen Lan, Meng-Chen Fan, Hang Zhang et al. · 2 citations

#artificial intelligence Jan 2026

Bayesian-LoRA: Probabilistic Low-Rank Adaptation of Large Language Models

This work reformulates the deterministic LoRA update as a probabilistic low-rank representation inspired by Sparse Gaussian Processes, and identifies a structural isomorphism between LoRA's factorization and Kronecker-factored SGP posteriors, and shows that LoRA emerges as a limiting case when posterior uncertainty col...

Mou-Le Lin, Shu-Hao Guan, Andrea Patane et al. · arXiv.org · 1 citation

Preprint Aug 2026

Trust Is Not Enough: Influence Calibration for On-Policy Self-Distillation in Agentic RL

Influence Calibration for Self-Distillation (ICSD) improves all matched aggregate metrics over trust-only allocation under Group Relative Policy Optimization (GRPO) and Group-in-Group Policy Optimization (GiGPO) and raises cosine compatibility with the RL gradient.

Qi-Zhen Lan, Xi Xiao, Xiang-Chen Guan et al. · 2 citations