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cs.CV2025
Emergence of Text Readability in Vision Language Models
Jaeyoo Park, Sanghyuk Chun, Wonjae Kim +2
We investigate how the ability to recognize textual content within images emerges during the training of Vision-Language Models (VLMs). Our analysis reveals a critical phenomenon:…
cs.DB2025
KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction
Jang-Hyun Kim, Jinuk Kim, Sangwoo Kwon +3
Transformer-based large language models (LLMs) cache context as key-value (KV) pairs during inference. As context length grows, KV cache sizes expand, leading to substantial memory…
cs.CV2025
LongProLIP: A Probabilistic Vision-Language Model with Long Context Text
Sanghyuk Chun, Sangdoo Yun
Recently, Probabilistic Language-Image Pre-Training (ProLIP) has been proposed to tackle the multiplicity issue of vision-language (VL) tasks. Despite their success in probabilisti…