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The Ungrounded Alignment Problem
Manage episode 433220757 series 3524393
This paper addresses The Ungrounded Alignment Problem, proposing a method for unsupervised learners to associate images with class labels using letter bigram frequencies, enabling innate behavior in modality-agnostic models.
https://arxiv.org/abs//2408.04242
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
--- Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support
1649 episode
Manage episode 433220757 series 3524393
This paper addresses The Ungrounded Alignment Problem, proposing a method for unsupervised learners to associate images with class labels using letter bigram frequencies, enabling innate behavior in modality-agnostic models.
https://arxiv.org/abs//2408.04242
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
--- Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support
1649 episode
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