---
title: "Who cites Cross-Domain Generalization of Neural…"
description: "21 papers of the Elamur Research library cite «Cross-Domain Generalization of Neural Constituency Parsers», found in their bibliographies; the most cited…"
canonical: "https://research.elamur.ai/free/en/papers/fried-2019-cross-domain-generalization-neural-constituency/cited-by/"
---
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# Who cites «Cross-Domain Generalization of Neural Constituency Parsers»

21 papers of our library cite it (of the 140,884 whose bibliographies we read) · 1 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/fried-2019-cross-domain-generalization-neural-constituency/)

1. [**Pretrained Transformers Improve Out-of-Distribution Robustness**Dan Hendrycks, Xiaoyuan Liu, Eric Wallace, et al.*2020 · 442 citations*](https://md.research.elamur.ai/free/en/papers/hendrycks-2020-pretrained-transformers-improve-out-distribution/)

20 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/fried-2019-cross-domain-generalization-neural-constituency/) — Cross-Domain Generalization of Neural Constituency Parsers