Author

Zheng Yang

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Preprint Aug 2026

Calibrating Post-Training Feature Shifts for LLM Data Contamination Detection

CalibDCD is proposed, a broadly applicable calibration framework for feature-based DCD methods, comprising Multi-View Shift Detection, which identifies recurring feature shifts associated with post-training, and Bounded Feature Correction, which selectively mitigates their influence on membership prediction.

Zhen Yang, Mengqi Wang, Gengda Zhao et al. · 0 citations

Preprint Aug 2026

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation

DreamTrajectory is presented, a trajectory-guided framework for language-conditioned mobile manipulation that introduces one component for each limitation of existing Vision-Language-Action policies, and jointly predicts an intention-level end-effector trajectory and a whole-body action chunk in a single action expert.

Zheng Yang, Wen-Jie Zhang, Xiang-Yu Chen et al. · 1 citation