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Found 4 papers, 2 papers with code
WorldGPT: Empowering LLM as Multimodal World Model
As for evaluation, we build WorldNet, a multimodal state transition prediction benchmark encompassing varied real-life scenarios.
DIEM: Decomposition-Integration Enhancing Multimodal Insights
On MM-Vet our method achieves an improvement in MM-Vet scores increasing from 31. 1 to 32. 4.
De-fine: Decomposing and Refining Visual Programs with Auto-Feedback
Visual programming, a modular and generalizable paradigm, integrates different modules and Python operators to solve various vision-language tasks.
Improving Vision Anomaly Detection with the Guidance of Language Modality
To learn a more compact latent space for the vision anomaly detector, CMLE learns a correlation structure matrix from the language modality, and then the latent space of vision modality will be learned with the guidance of the matrix.
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