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@@ -18,7 +18,7 @@ We scraped approximately ~150k papers, with about ~690k figures total. We extrac
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  All figures were taken from arXiv research papers.
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  <figure>
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  <img width="500" src="example1.png">
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- <figcaption>Fig. 6. Accuracy of sample from current (1st) F-MNIST class</figcaption>
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  </figure>
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  <figure>
 
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  All figures were taken from arXiv research papers.
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  <figure>
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  <img width="500" src="example1.png">
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+ <figcaption>Figure 5: Comparisons between our multifidelity learning paradigm and single low-fidelity (all GPT-3.5) annotation on four domain-specific tasks given the same total 1000 annotation budget. Note that the samples for all GPT-3.5 are drawn based on the uncertainty score.</figcaption>
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  </figure>
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  <figure>