6 papers · 1 filter
What Converges in the Platonic Representation Hypothesis? Structure over Geometry
Junwon You, Mihyun Jang, Sangwoo Mo +1
The Platonic Representation Hypothesis suggests that increasingly capable models converge toward shared representations. Recent work narrows this claim to shared local neighborhood…
Act with Intent: Distilling Behavior Intent for Vision-Language-Action Models
Sangoh Lee, Sangwoo Mo, Wook-Shin Han
Vision-Language-Action (VLA) models can turn multimodal context into robot actions, but their action decoders are still trained largely by behavior cloning. This supervises which m…
Topology-Aware Representation Alignment for Semi-Supervised Vision-Language Learning
Junwon You, Mihyun Jang, Sangwoo Mo +1
Vision-language models have shown strong performance, but they often generalize poorly to specialized domains. While semi-supervised vision-language learning mitigates this limitat…
Multimodal Dataset Distillation Made Simple by Prototype-Guided Data Synthesis
Junhyeok Choi, Sangwoo Mo, Minwoo Chae
Recent advances in multimodal learning have achieved remarkable success across diverse vision-language tasks. However, such progress heavily relies on large-scale image-text datase…
Aligning Forest and Trees in Images & Long Captions for Visually Grounded Understanding
Byeongju Woo, Zilin Wang, Byeonghyun Pak +2
Vision-language models such as CLIP often struggle to faithfully understand long, detail-rich captions, relying on dominant scene cues while overlooking fine-grained visual evidenc…
SHED Light on Segmentation for Dense Prediction
Seung Hyun Lee, Sangwoo Mo, Stella X. Yu
Dense prediction infers per-pixel values from a single image and is fundamental to 3D perception and robotics. Although real-world scenes exhibit strong structure, existing methods…