3 papers
cs.CL2026
RestoreKV: Recovering Full-Cache Behavior Under Aggressive Query-Agnostic KV Cache Eviction
Changwoo Baek, Seungjun Shin, Kyeongbo Kong
Query-agnostic KV cache eviction compresses a context once and reuses the resulting cache for arbitrary future queries, but performance can collapse under tight budgets. Existing m…
cs.CV2026
3DZip: Spatial-Aware Feature Diversity-Guided Token Compression for 3D Question Answering
Changwoo Baek, Kyeongbo Kong
Recent 3D vision-language models (3D VLMs) construct geometry aware tokens by projecting 2D visual features into world coordinates, enabling spatial reasoning for tasks such as 3D…
cs.CV2026
AgilePruner: An Empirical Study of Attention and Diversity for Adaptive Visual Token Pruning in Large Vision-Language Models
Changwoo Baek, Jouwon Song, Sohyeon Kim +1
Large Vision-Language Models (LVLMs) have adopted visual token pruning strategies to mitigate substantial computational overhead incurred by extensive visual token sequences. While…