Author

Jia-Huan Zhou

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Preprint Sep 2026

Hyper-LLaVA: Hyperbolic Uncertainty-aware Modality-Balanced Routing for Multimodal Continual Instruction Tuning

Multimodal Continual Instruction Tuning (MCIT) aims to exploit the incrementally accumulated knowledge to process multimodal inputs of diverse tasks, where parameter routing plays an important role. State-of-the-art methods rely on sample-to-task center similarity and cross-modal fusion with equal weight during routing...

Kun-Lun Xu, Yan-Qin Zhang, Wen-Wen Qiang et al. · 0 citations

#machine learning Preprint Aug 2026

GUPO: Gradient Uncertainty-aware Policy Optimization for Post-Training Large Language Models

Gradient Uncertainty-Aware Policy Optimization is proposed, which models each group gradient as a random variable under a Bayesian formulation and estimates its probability distribution and derives gradient uncertainty using a Dirichlet-based formulation and uses it to calibrate the contribution of each group gradient...

Peizheng Guo, Jian-Qi Zhang, Xing-Yu Zhang et al. · 0 citations