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[QA] Have we unified image generation and understanding yet? An empirical study of GPT-4o's image generation ability
This study evaluates OpenAI's GPT-4o, revealing limitations in semantic synthesis, instruction adherence, and reasoning, challenging assumptions about its multimodal capabilities and calling for improved benchmarks and training strategies.
https://arxiv.org/abs//2504.08003
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 evaluates OpenAI's GPT-4o, revealing limitations in semantic synthesis, instruction adherence, and reasoning, challenging assumptions about its multimodal capabilities and calling for improved benchmarks and training strategies.
https://arxiv.org/abs//2504.08003
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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