Author

Xiang-Cheng Zhan

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#artificial intelligence Preprint Oct 2026

ROT: Rotating Hidden States towards Contextual Vectors for Hallucination Mitigation in LVLMs

Large Vision-Language Models (LVLMs) frequently suffer from object hallucination. Existing training-free interventions primarily manipulate attention weights, which indirectly affect the deep semantics reaching the final predictive layers. In this work, we shift our focus to the hidden state vectors extracted after sel...

Yi-Jin Du, Xiang-Cheng Zhan, Shuo Yang · 0 citations

#artificial intelligence Preprint Sep 2026

Direct Experience World-Model Optimization: Learning the World Beyond Action Imitation

World-Action Models (WAMs) couple action generation with predictions of how physical interactions unfold. However, current post-deployment learning paradigms typically improve behavior without requiring better world predictions. Especially in dexterous manipulation, small execution errors can compound in high-dimension...

Xiang-Cheng Zhan, Zi-Rui Chen, Yi-Cheng Zhao et al. · 0 citations