AKGP-LVLM claims state-of-the-art results on four knowledge-intensive vision-language benchmarks by dynamically integrating external knowledge, but the experiments are not reproducible from the paper.
In: Pro- ceedings of the 2021 Conference of the North American Chapte r of the Associa- tion for Computational Linguistics: Human Language Techno logies
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Dynamic Knowledge Integration for Enhanced Vision-Language Reasoning
AKGP-LVLM claims state-of-the-art results on four knowledge-intensive vision-language benchmarks by dynamically integrating external knowledge, but the experiments are not reproducible from the paper.