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Notes on multimodal large language models
3 notes
ClinFusion: A Vision-Centric Multimodal LLM System for Holistic Medical Understanding
The paper introduces ClinFusion, a system designed for holistic medical understanding using multimodal large language models (MLLMs). ClinFusion addresses challenges in the medical domain by unifying diverse 2D and…
Symbal: Detecting Systematic Misalignments in Model-Generated Captions
Researchers present Symbal, a system that identifies systematic misalignments in image-text pairs generated by multimodal large language models (MLLMs). The system uses a structured dual-stage setup and performs well…
MECoBench: A Systematic Study of Multimodal Agent Collaboration in Embodied Environments
The paper introduces MECoBench, a new system for testing the collaboration abilities of multimodal large language models in visually grounded environments. The authors conduct extensive experiments with various MLLMs…
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