Author

Xiang-Yu Zhou

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#artificial intelligence Preprint Sep 2026

SpatialCORE: Confidence-Aware Grounded Spatial Reasoning in Large Vision--Language Models

Large Vision-Language Models (LVLMs) have made remarkable progress across visual perception tasks, yet spatial reasoning remains a persistent weakness, especially for questions that require reasoning over visual space. Recent spatial-reasoning methods incorporate generated grounding, where models predict bounding boxes...

Rafi Ibn Sultan, Xiang-Yu Zhou, Mohammad O. S. Chowdhury et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Towards Mitigating Deceptive Safety Alignment in Large Reasoning Models

Large Reasoning Models (LRMs) are commonly trained with reinforcement learning (RL) to improve their generation of chain-of-thought (CoT) reasoning before producing final answers. However, RL rewards are typically assigned based on final answers, providing little or no direct supervision over intermediate reasoning. Th...

Xiang-Yu Zhou, S. Z. Zade, Rafi Ibn Sultan et al. · 0 citations