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Bohan Zeng

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#machine learning Preprint Oct 2026

PDRVLA: A Vision-Language-Action Model with Physical Dynamics Representations

PDRVLA is introduced, whose lightweight Physical Dynamics Module extracts physical tokens from vision--language features to condition action generation without online video generation, andlations show improved future prediction with world-model supervision and evaluate how subtask conditioning, future object-pose super...

Han-Qing Wang, Zhao-Tian Cai, Ruichuan An et al. · 0 citations
Preprint Oct 2026

PIGEONS: Incremental Long-Video Captioning with Persistent Identity Gallery and Evolving Overarching Narrative Summary

Detailed video captioning has become an essential semantic interface for multi-modal understanding and generation. While existing methods mainly target short videos, extending them to long videos remains challenging, primarily due to limited context windows of current video understanding models. A naive solution is to...

Xinlong Chen, Wei-Hong Lin, Yuan-Xing Zhang et al. · 0 citations
Preprint Sep 2026

Human-Centric Image Captioning with Subject-Centered Spatial Understanding

This work introduces SPACE (Subject-centric Poses, Appearance, and Characteristics Evaluation), a benchmark designed to evaluate subject-centered spatial understanding, and designs a rubric-based reward for Group Relative Policy Optimization that explicitly penalizes structurally critical spatial errors during alignmen...

Bozhou Li, Jia-Hang Zhang, Yue Ding et al. · 0 citations
Jul 2026

Flux-OPD: On-Policy Distillation with Evolving Contexts

Flux-OPD is proposed, an OPD paradigm that uses evolving contexts as in-training supervision to capture task preferences in open-ended domains and outperforms existing OPD paradigms, highlighting the potential to combine teacher supervision with evolving contexts.

Yu-Ran Wang, Zekun Wang, Bohan Zeng et al. · 1 citation

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