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🌟Appreciation🌟 #17

@pietrolesci

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@pietrolesci

Hi there,

This is a brief message of appreciation to @bernardodionisi and contributors for developing this library.

We use (and cite) this software in our latest paper on memorisation in large language models (https://arxiv.org/pdf/2406.04327). In the paper, we use the method proposed by Callaway and Sant'Anna (2021) to estimate memorisation in language models, which implies running their method on a big panel. We tried other implementations (mainly in R); however, differences was the only one able to scale out-of-the-box to our panel size (even using the bootstrapped standard errors option).

Overall, this library has made my work so much easier, and I hope it will continue improving in the future!

Best,
Pietro

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