Papers by Sidney Black

1 papers
MAGMA – Multimodal Augmentation of Generative Models through Adapter-based Finetuning (2022.findings-emnlp)

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Challenge: Large-scale pretraining is becoming the norm in Vision-Language (VL) modeling.
Approach: They propose a method for augmenting generative language models with additional modalities using adapter-based finetuning.
Outcome: The proposed method outperforms Frozen on open-ended generative tasks while maintaining the language model weights.

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