5 papers · 1 filter
CueRator: Agentic Search for Symbolic Rules to Adapt Frozen Multimodal Encoders
Sunchan Park, Beomkwon Cho, Kyeongbo Kong
Large language model agents have been used to search over symbolic structures such as programs and equations. We propose CueRator, an agentic framework for policy-aware decision-ru…
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…
Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs
Jouwon Song, Woohyeong Kim, Kyeongbo Kong
Recent high-resolution Multimodal Large Language Models (MLLMs) generate thousands of visual tokens per input, leading to a visual token explosion that introduces severe latency bo…
Focus Matters: Phase-Aware Suppression for Hallucination in Vision-Language Models
Sohyeon Kim, Sang Yeon Yoon, Kyeongbo Kong
Large Vision-Language Models (LVLMs) have achieved impressive progress in multimodal reasoning, yet they remain prone to object hallucinations, generating descriptions of objects t…
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…