Author

Jasper Gerigk

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#small language model Preprint Sep 2026

SCOPD: Sparse-Context On-Policy Self-Distillation for Efficient Vision-Language Models

Reasoning vision-language models (VLMs) process images and videos as long sequences of visual tokens, making inference expensive. Training-free token pruning reduces this cost, but aggressive compression can sharply degrade performance, often attributed to irreversible loss of task-relevant visual information. We show...

Ahmadreza Jeddi, En-Ming Zhang, Jasper Gerigk et al. · 0 citations

Jul 2026

SeededGrasp: Language-Guided Grasping in Complex Scenes with Multiple Embodiments

This work proposes SeededGrasp, a novel data-efficient framework that enables a VLM to predict a seed point to be used as conditioning for a subsequent lightweight grasp-generation model, enabling multi-embodiment support while bypassing the need for expensive end-to-end training.

Yang Xu, Gurpreet Singh Mukker, Raymond Wang et al. · arXiv.org · 0 citations