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Unraveling the Truth: Do LLMs really Understand Charts? A Deep Dive into Consistency and Robustness
This paper evaluates Visual Language Models for Chart Question Answering, revealing performance variations and proposing improvements for more robust systems in diverse question and chart scenarios.
https://arxiv.org/abs//2407.11229
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 evaluates Visual Language Models for Chart Question Answering, revealing performance variations and proposing improvements for more robust systems in diverse question and chart scenarios.
https://arxiv.org/abs//2407.11229
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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