Ziang Wu — accepted AI-conference papers

2025

LLaVA-CoT: Let Vision Language Models Reason Step-by-Step

Guowei Xu, Peng Jin, Ziang Wu, Hao Li, Yibing Song, Lichao Sun +1

ICCV 2025poster

Large language models have demonstrated substantial advancements in reasoning capabilities. However, current Vision-Language Models (VLMs) often struggle to perform systematic and structured reasoning, especially when handling complex visual question-answering tasks. In this work, we introduce LLaVA…

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2024

LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference

Zhongwei Wan, Ziang Wu, Che Liu, Jinfa Huang, Zhihong Zhu, Peng Jin +2

EMNLP 2024finding

Long-context Multimodal Large Language Models (MLLMs) demand substantial computational resources for inference as the growth of their multimodal Key-Value (KV) cache, in response to increasing input lengths, challenges memory and time efficiency. Unlike single-modality LLMs that manage only textual…

Cited by 35 Source ↗PDF ↗code ↗Scholar ↗