Insu Jang

2 accepted papers

2026

Efficient Distributed MLLM Training with ModalGlue

Insu Jang, Runyu Lu, Nikhil Bansal, Ang Chen, Mosharaf Chowdhury

ICML 2026poster

Multimodal large language models (MLLMs) extend the capabilities of large language models (LLMs) by combining heterogeneous model architectures to handle diverse modalities like images and audio. However, this inherent heterogeneity in MLLM model structure and data types makes makeshift extensions t…

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2026

Mordal: Automated Pretrained Model Selection for Vision Language Models

Shiqi He, Insu Jang, Mosharaf Chowdhury

ICLR 2026poster

Incorporating multiple modalities into large language models (LLMs) is a powerful way to enhance their understanding of non-textual data, enabling them to perform multimodal tasks. Vision language models (VLMs) form the fastest growing category of multimodal models because of their many practical us…

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