2 papers
cs.CV2026
UniWeTok: An Unified Binary Tokenizer with Codebook Size for Unified Multimodal Large Language Model
Shaobin Zhuang, Yuang Ai, Jiaming Han +12
Unified Multimodal Large Language Models (MLLMs) require a visual representation that simultaneously supports high-fidelity reconstruction, complex semantic extraction, and generat…
cs.CV2025
QG-VTC: Question-Guided Visual Token Compression in MLLMs for Efficient VQA
Shuai Li, Jian Xu, Xiao-Hui Li +2
Recent advances in Multi-modal Large Language Models (MLLMs) have shown significant progress in open-world Visual Question Answering (VQA). However, integrating visual information…