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GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
This study introduces GSM-Symbolic, a benchmark revealing LLMs' inconsistent mathematical reasoning, highlighting performance drops with altered questions and increased complexity, questioning their genuine logical reasoning abilities.
https://arxiv.org/abs//2410.05229
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 study introduces GSM-Symbolic, a benchmark revealing LLMs' inconsistent mathematical reasoning, highlighting performance drops with altered questions and increased complexity, questioning their genuine logical reasoning abilities.
https://arxiv.org/abs//2410.05229
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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