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This paper presents latent tokens, a lightweight method to enhance Transformer-based LLMs' performance and adaptability, particularly in out-of-distribution scenarios, with minimal complexity added.
https://arxiv.org/abs//2505.12629
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
By Igor Melnyk5
33 ratings
This paper presents latent tokens, a lightweight method to enhance Transformer-based LLMs' performance and adaptability, particularly in out-of-distribution scenarios, with minimal complexity added.
https://arxiv.org/abs//2505.12629
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

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