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20242026
most citedWoLF: Wide-scope Large Language Model Framework for CXR Understanding

1 citations · 1 across the 9 of their papers we have counts for

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cs.LG2026

ThunderSyncRL: Lossless Acceleration of Agentic Reinforcement Learning

Seil Kang, Hangoo Kang, Tarun Suresh +4

Language models are moving beyond generating answers to pursuing long-horizon goals in interactive environments. Post-training these agents requires long, heterogeneous trajectorie…

cs.CV2026

Physics in 2-Steps: Locking Motion Priors Before Visual Refinement Erases Them

Woojung Han, Seil Kang, Youngjun Jun +3

Image-to-Video diffusion models leverage input images to generate visually stunning content, yet frequently produce motion that violates physical laws. We reveal a surprising findi…

cs.CV2026

Real-Time Visual Attribution Streaming in Thinking Model

Seil Kang, Woojung Han, Junhyeok Kim +3

We present an amortized framework for real-time visual attribution streaming in multimodal thinking models. When these models generate code from a screenshot or solve math problems…

cs.CV2026

ViKey: Enhancing Temporal Understanding in Videos via Visual Prompting

Yeonkyung Lee, Dayun Ju, Youngmin Kim +2

Recent advancements in Video Large Language Models (VideoLLMs) have enabled strong performance across diverse multimodal video tasks. To reduce the high computational cost of proce…

cs.CV2026

Interpretable Motion-Attentive Maps: Spatio-Temporally Localizing Concepts in Video Diffusion Transformers

Youngjun Jun, Seil Kang, Woojung Han +1

Video Diffusion Transformers (DiTs) have been synthesizing high-quality video with high fidelity from given text descriptions involving motion. However, understanding how Video DiT…