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This study investigates Large Language Models' ability to recognize domain-specific nuances, revealing their internal domain representations and robustness to prompt variations, aiding in model selection for improved performance.
https://arxiv.org/abs//2504.16871
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
5
33 ratings
This study investigates Large Language Models' ability to recognize domain-specific nuances, revealing their internal domain representations and robustness to prompt variations, aiding in model selection for improved performance.
https://arxiv.org/abs//2504.16871
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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