---
title: "Who cites Human-in-the-Loop for Data — 78 citing papers"
description: "78 papers of the Elamur Research library cite «Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight…"
canonical: "https://research.elamur.ai/free/en/papers/fanton-2021-human-loop-data-collection-multi/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/fanton-2021-human-loop-data-collection-multi/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Human-in-the-Loop for Data Collection: a…](https://md.research.elamur.ai/free/en/papers/fanton-2021-human-loop-data-collection-multi/) / cited by

# Who cites «Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight Online Hate Speech»

78 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 «Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight Online Hate Speech»](https://md.research.elamur.ai/free/en/papers/fanton-2021-human-loop-data-collection-multi/)

1. [**Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions**Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, et al.*2023 · 124 citations*](https://md.research.elamur.ai/free/en/papers/bianchi-2023-safety-tuned-llamas-lessons-improving/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/fanton-2021-human-loop-data-collection-multi/) — Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight Online Hate Speech