---
title: "Who cites Challenges for Toxic Comment — 66 citing papers"
description: "66 papers of the Elamur Research library cite «Challenges for Toxic Comment Classification: An In-Depth Error Analysis», found in their…"
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---
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# Who cites «Challenges for Toxic Comment Classification: An In-Depth Error Analysis»

66 papers of our library cite it (of the 141,840 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «Challenges for Toxic Comment Classification: An In-Depth Error Analysis»](https://md.research.elamur.ai/free/en/papers/aken-2018-challenges-toxic-comment-classification-depth/)

1. [**Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment arXiv:2308.05374**Yang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li*2023 · 220 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-trustworthy-llms-survey-guideline-evaluating/) **[HateCheck: Functional Tests for Hate Speech Detection Models](https://md.research.elamur.ai/free/en/papers/rottger-2021-hatecheck-functional-tests-hate-speech/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Paul Röttger, Bertie Vidgen, Dong Nguyen, et al.*2021 · 203 citations* **[Toxicity Detection: Does Context Really Matter?](https://md.research.elamur.ai/free/en/papers/pavlopoulos-2020-toxicity-detection-does-context-really/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon, et al.*2020 · 198 citations* **[Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts](https://md.research.elamur.ai/free/en/papers/breitfeller-2019-finding-microaggressions-wild-case-locating/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Luke Breitfeller, Emily Ahn, David Jurgens, et al.*2019 · 188 citations*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/aken-2018-challenges-toxic-comment-classification-depth/) — Challenges for Toxic Comment Classification: An In-Depth Error Analysis
