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Wen-Wen Qiang

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Open access Sep 2026

GAPrompt++: Multi-Granular Geometry-Aware Point Cloud Prompt for 3D Vision Model.

Pre-trained 3D vision models have substantially advanced point cloud analysis, yet adapting them to downstream tasks via full fine-tuning is computationally expensive and storage-intensive. Parameter-Efficient Fine-Tuning (PEFT) offers a promising alternative by reducing both adaptation cost and storage burden. However...

Zi-Xiang Ai, Zhen-Yu Cui, Yufei Guo et al. · 0 citations
Preprint Aug 2026

Temporal GRPO: Beyond Trajectory-Level Credit in Vision-Language-Action Reinforcement Learning

Temporal GRPO addresses the problem of trajectory-level credit aliasing in post-train VLA policies by constructing detectable task stages, aligning each rollout with stage-specific action intervals, and comparing only rollouts that have entered the same stage.

Yao Zhou, Hang Gao, Fengge Wu 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

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