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[QA] DeepCritic: Deliberate Critique with Large Language Models
This paper presents a two-stage framework to enhance Large Language Models' math critique abilities, improving feedback accuracy and depth for better error identification and correction in generated solutions.
https://arxiv.org/abs//2505.00662
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 paper presents a two-stage framework to enhance Large Language Models' math critique abilities, improving feedback accuracy and depth for better error identification and correction in generated solutions.
https://arxiv.org/abs//2505.00662
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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