3 papers
cs.CL2026
Non-linear Interventions on Large Language Models
Sangwoo Kim
Intervention is one of the most representative and widely used methods for understanding the internal representations of large language models (LLMs). However, existing interventio…
cs.RO2026
RLDX-1 Technical Report
Dongyoung Kim, Huiwon Jang, Myungkyu Koo +65
While Vision-Language-Action models (VLAs) have shown remarkable progress toward human-like generalist robotic policies through the versatile intelligence (i.e. broad scene underst…
cs.RO2025
Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control
Seongmin Park, Hyungmin Kim, Sangwoo Kim +5
Deep neural network (DNN)-based policy models, such as vision-language-action (VLA) models, excel at automating complex decision-making from multi-modal inputs. However, scaling th…