[D] What is the current SOTA of Neural Architecture Search (NAS)?

I've seen classic papers before 2021 that have been quite influential - RL and evolution based strategies. I have also seen:

* differentiable approaches: [https://arxiv.org/abs/1806.09055](https://arxiv.org/abs/1806.09055)
* zero-learning approaches: [https://arxiv.org/abs/2006.04647](https://arxiv.org/abs/2006.04647)

But these are all papers pre-2021.

From people who are familiar with this field, what is the current SOTA of neural architecture search (NAS) post 2022? i.e. papers that can serve as the most relevant baselines?

Thank you! :)

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architecture current evolution machinelearning nas neural architecture search people search sota strategies