Update README.md
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README.md
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@@ -142,7 +142,7 @@ subset2evaluate.evaluate.eval_subset_correlation(data_precomet[:100], data_full)
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> 0.92
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```
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we get higher correlation and number of clusters.
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This work is described in [How to Select Datapoints for Efficient Human Evaluation of NLG Models?](https://arxiv.org/abs/2501.18251).
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> 0.92
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```
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we get higher correlation and number of clusters.
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+
You can expect a bigger effect on a larger scale, as described in the paper.
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This work is described in [How to Select Datapoints for Efficient Human Evaluation of NLG Models?](https://arxiv.org/abs/2501.18251).
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