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This paper introduces CALM, a method for efficiently and practically combining existing language models with more specific models to enhance their capabilities. CALM allows for the augmentation of language models on new tasks while preserving their existing capabilities. Experimental results show significant improvements in translation, arithmetic reasoning, code generation, and explanation tasks.
https://arxiv.org/abs//2401.02412
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 introduces CALM, a method for efficiently and practically combining existing language models with more specific models to enhance their capabilities. CALM allows for the augmentation of language models on new tasks while preserving their existing capabilities. Experimental results show significant improvements in translation, arithmetic reasoning, code generation, and explanation tasks.
https://arxiv.org/abs//2401.02412
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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