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The paper introduces Semantic Pyramid AutoEncoder (SPAE) to enable frozen language models (LLMs) to perform understanding and generation tasks with non-linguistic modalities. The approach converts between pixels and lexical tokens, allowing LLMs to comprehend and generate visual content. Experimental results show improved performance in image understanding tasks.
https://arxiv.org/abs//2306.17842
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
By Igor Melnyk5
33 ratings
The paper introduces Semantic Pyramid AutoEncoder (SPAE) to enable frozen language models (LLMs) to perform understanding and generation tasks with non-linguistic modalities. The approach converts between pixels and lexical tokens, allowing LLMs to comprehend and generate visual content. Experimental results show improved performance in image understanding tasks.
https://arxiv.org/abs//2306.17842
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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