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Is In-Context Learning Sufficient for Instruction Following in LLMs?
In-context learning (ICL) with URIAL aligns base LLMs using few examples but underperforms compared to instruction fine-tuning, with a proposed greedy selection approach improving performance.
https://arxiv.org/abs//2405.19874
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
In-context learning (ICL) with URIAL aligns base LLMs using few examples but underperforms compared to instruction fine-tuning, with a proposed greedy selection approach improving performance.
https://arxiv.org/abs//2405.19874
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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