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Song XiXuan

2 accepted papers

2025

VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents

ICLR 2025poster

Large Multimodal Models (LMMs) have ushered in a new era in artificial intelligence, merging capabilities in both language and vision to form highly capable \textbf{Visual Foundation Agents} that are postulated to excel across a myriad of tasks. However, existing benchmarks fail to sufficiently chal…

2024

CogVLM: Visual Expert for Pretrained Language Models

NeurIPS 2024poster

We introduce CogVLM, a powerful open-source visual language foundation model. Different from the popular \emph{shallow alignment} method which maps image features into the input space of language model, CogVLM bridges the gap between the frozen pretrained language model and image encoder by a traina…