Author

Hong-Xia Yang

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#computer vision Preprint Sep 2026

InfiMed2: A Generalist Medical Multimodal Foundation Model from Contextual Evidence and Stability-Aware Supervision

Recent medical multimodal models have benefited from larger corpora, broader modality coverage, and stronger reasoning-oriented training, yet effective data design across continued pretraining (CPT) and post-training remains challenging. Medical sources vary substantially in structure, granularity, and information dens...

Guang-Hao Zhu, Ze-Yu Liu, Zhitian Hou et al. · 0 citations

#machine learning Preprint Sep 2026

SMAT: Simple and Efficient Merge-Aware Training

SMAT (Simple MAT) is introduced, which jointly optimizes expert loss and expected loss at simulated merged parameters generated by sampling scaling coefficients, masks, and additive noise, and improves the mean score across five merging methods.

Yang-Gan Gu, Yuan-Yi Wang, Zhen Li et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Routing Drift Alone Does Not Diagnose Failure in Merged MoE LLMs

Model merging efficiently combines specialized large language models (LLMs) without joint retraining, but can substantially alter expert routing in Mixture-of-Experts (MoE) models. Such \emph{routing drift} is often interpreted as routing failure, raising a fundamental question that remains unclear: \emph{does routing...

Yuan-Yi Wang, Yang-Gan Gu, Su Lu et al. · 0 citations