DeepCritic: Deliberate Critique with Large Language Models
from Arxiv Papers Hosted by Igor Melnyk
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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This episode is 17 minutes long.
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This episode was published on May 3, 2025.
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