---
title: "Who cites Counterfactually-Augmented SNLI — 18 citing papers"
description: "18 papers of the Elamur Research library cite «Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than…"
canonical: "https://research.elamur.ai/free/en/papers/huang-2020-counterfactually-augmented-snli-training-data/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/huang-2020-counterfactually-augmented-snli-training-data/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Counterfactually-Augmented SNLI Training Data…](https://md.research.elamur.ai/free/en/papers/huang-2020-counterfactually-augmented-snli-training-data/) / cited by

# Who cites «Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data»

18 papers of our library cite it (of the 141,840 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data»](https://md.research.elamur.ai/free/en/papers/huang-2020-counterfactually-augmented-snli-training-data/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/huang-2020-counterfactually-augmented-snli-training-data/) — Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data