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Xu Yang

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Preprint Oct 2026

Evidence-Guided Counterfactual Learning for Long-Tailed Robotic Policies

In the practical deployment of vision--language--action policies, handling long-tailed task distributions is a common challenge due to the highly imbalanced composition of robot demonstration datasets. To investigate this issue, we study the head-task action bias in shared robot policies, particularly focusing on its r...

Wei-Wei Chen, Cheng-Hao Xu, Mei-Ling Yu et al. · 0 citations
Conference Sep 2026

Raise One and Infer Three: Toward Reasoning- and Memory-Augmented Diffusion Policy Generalization

This work proposes "raise one and infer three" diffusion policy (ROITDP), a novel approach that introduces two complementary mechanisms, including a reasoning mechanism built upon the Chain-of-Skill Noise Watermark, which enables temporally coherent multi-step reasoning throughout the diffusion process under distributi...

Yi-Hang Zhu, Yuxuan Wang, Tong Li et al. · 0 citations

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