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[QA] Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Perfect Reasoners
Manage episode 414202187 series 3524393
The paper introduces DUP prompting strategy to improve Large Language Models' performance on complex reasoning tasks, outperforming Zero-Shot CoT on diverse datasets, achieving state-of-the-art results.
https://arxiv.org/abs//2404.14963
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
--- Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support
1113 episodi
Manage episode 414202187 series 3524393
The paper introduces DUP prompting strategy to improve Large Language Models' performance on complex reasoning tasks, outperforming Zero-Shot CoT on diverse datasets, achieving state-of-the-art results.
https://arxiv.org/abs//2404.14963
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
--- Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support
1113 episodi
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