---
title: "Who cites Trick Me If You Can: — 53 citing papers"
description: "53 papers of the Elamur Research library cite «Trick Me If You Can: Human-in-the-Loop Generation of Adversarial Examples for Question…"
canonical: "https://research.elamur.ai/free/en/papers/wallace-2019-trick-me-if-you-can/cited-by/"
---
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# Who cites «Trick Me If You Can: Human-in-the-Loop Generation of Adversarial Examples for Question Answering»

53 papers of our library cite it (of the 141,840 whose bibliographies we read) · 1 with a page here, the most cited first · [← back to «Trick Me If You Can: Human-in-the-Loop Generation of Adversarial Examples for Question Answering»](https://md.research.elamur.ai/free/en/papers/wallace-2019-trick-me-if-you-can/)

1. **[Measure and Improve Robustness in NLP Models: A Survey](https://md.research.elamur.ai/free/en/papers/wang-2022-measure-improve-robustness-nlp-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Xuezhi Wang, Haohan Wang, Diyi Yang*2022 · 148 citations*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/wallace-2019-trick-me-if-you-can/) — Trick Me If You Can: Human-in-the-Loop Generation of Adversarial Examples for Question Answering