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[QA] The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models
This study explores how different prompting methods influence representation geometry in decoder-only language models, revealing distinct mechanisms for task adaptation and interactions between tasks in few-shot learning.
https://arxiv.org/abs//2502.08009
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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By Igor Melnyk
5
33 ratings
This study explores how different prompting methods influence representation geometry in decoder-only language models, revealing distinct mechanisms for task adaptation and interactions between tasks in few-shot learning.
https://arxiv.org/abs//2502.08009
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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