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Implicit In-context Learning (I2CL) improves large language models by integrating demonstration examples within the activation space, achieving few-shot performance with zero-shot cost and enhancing transfer learning.
https://arxiv.org/abs//2405.14660
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
Implicit In-context Learning (I2CL) improves large language models by integrating demonstration examples within the activation space, achieving few-shot performance with zero-shot cost and enhancing transfer learning.
https://arxiv.org/abs//2405.14660
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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