Author

Sixu Lin

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Preprint Sep 2026

PF-RL: Progress Field Reinforcement Learning via Goal-Conditioned Value Geometry for Vision-Language-Action Models

Reinforcement Fine-Tuning~(RFT) has emerged as a promising paradigm for improving Vision-Language-Action~(VLA) policies, yet sparse task-level outcomes provide limited credit for intermediate transitions, especially in long-horizon manipulation. A natural approach is to model intermediate task progress and use it as de...

Yun-Peng Qing, Yi-Lun Kong, Si-Xu Lin et al. · 0 citations

Preprint Aug 2026

Diagnosing Dense Same-Class Attribute Misbinding in Large Vision-Language Models

Large vision-language models can recognize the objects and attributes in a crowded scene yet assign an attribute to the wrong same-class instance. Generic visual-question-answering accuracy marks the response as wrong, while object-hallucination metrics may regard both the object and attribute as image-supported; neith...

Yuanzhi Xu, Qian Gao, Jun Fan et al. · 1 citation

Preprint Aug 2026

Vid2WAM: Distilling Video Diffusion Priors into World Action Models

Vid2WAM is proposed, an offline distillation framework that transfers visual diffusion priors from a large video foundation model into a compact WAM student and introduces source-aware residual action adaptation that learns source-specific corrections around a shared action backbone and mitigates interference from nois...

Chen-Hao Qiu, Ruixiang Wang, Runyi Zhao et al. · 2 citations